Podd: DataFramed

#295 How To Get Hired As A Data Or AI Engineer with Deepak Goyal, CEO & Founder at Azurelib Academy

31 mars 2025 | 52 min

#294 Six Skills Data Professionals Need To Succeed with Abhijit Bhaduri, Brand Evangelist & Former General Manager of Global L&D at Microsoft

27 mars 2025 | 58 min

#293 Unlocking Humanity in the Age of AI with Faisal Hoque, Founder and CEO of SHADOKA

20 mars 2025 | 56 min

The integration of AI into everyday business operations raises questions about the future of work and human agency. With AI's potential to automate and optimize, how do we ensure that it complements rather than competes with human capabilities? What measures can be taken to prevent AI from overshadowing human input and creativity? How do we strike a balance between embracing AI's benefits and preserving the essence of human contribution?

Faisal Hoque is the founder and CEO of SHADOKA, NextChapter, and other companies. He also serves as a transformation and an innovation partner for CACI, an $8B company focused on U.S. national security. He volunteers for several organizations, including MIT IDEAS Social Innovation Program. He is also a contributor at the Swiss business school IMD, Thinkers50, the Project Management Institute (PMl), and others. As a founder and CEO of multiple companies, he is a three-time winner of Deloitte Technology Fast 50™ and Fast 500™ awards. He has developed more than 20 commercial platforms and worked with leadership at the U.S. DoD, DHS, GE, MasterCard, American Express, Home Depot, PepsiCo, IBM, Chase, and others. For their innovative work, he and his team have been awarded several provisional patents in the areas of user authentication, business rule routing, and metadata sorting.

In the episode, Richie and Faisal explore the philosophical implications of AI on humanity, the concept of AI as a partner, the potential societal impacts of AI-driven unemployment, the importance of critical thinking and personal responsibility in the AI era, and much more.

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#292 Offline A/B Testing: Experimentation in Brick and Mortar with Philipp Paraguya, Chapter Lead Data Science at ALDI DX

17 mars 2025 | 37 min

#291 Developments in Speech AI with Alon Peleg & Gill Hetz, COO and VP of AI at aiOla

13 mars 2025 | 45 min

The integration of speech AI into everyday business operations is reshaping how we communicate and process information. With applications ranging from customer service to quality control, understanding the nuances of speech AI is crucial for professionals. How do you tackle the complexities of different languages and accents? What are the best practices for implementing speech AI in your organization? Explore the transformative power of speech AI and learn how to overcome the challenges it presents in your professional landscape.

Alon Peleg serves as the Chief Operating Officer (COO) at aiOla, a position he assumed in May 2024. With over two decades of leadership experience at renowned companies like Wix, Cisco, and Intel, he is widely recognized in the tech industry for his expertise, dynamic leadership, and unwavering dedication. At aiOla, Alon plays a key role in driving innovation and strategic growth, contributing to the company’s mission of developing cutting-edge solutions in the tech space. His appointment is regarded as a pivotal step in aiOla’s expansion and continued success.

Gill Hetz is the VP of AI at aiOla where he leverages his expertise in data integration and modeling. Gill was previously active in the oil and gas industry since 2009, holding roles in engineering, research, and data science. From 2018 to 2021, Gill held key positions at QRI, including Project Manager and SaaS Product Manager.

In the episode, Richie, Alon, and Gill explore the intricacies of speech AI, its components like ASR, NLU, and TTS, real-world applications in industries such as retail and pharmaceuticals, challenges like accents and background noise, and the future of voice interfaces in technology, and much more.

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#290 Scaling Responsible AI Literacy with Uthman Ali, Global Head of Responsible AI at BP

10 mars 2025 | 37 min

#289 How I Nearly Got Fired For Running An A/B Test with Vanessa Larco, Former Partner at New Enterprise Associates

6 mars 2025 | 55 min

#288 How Generative AI is Transforming Finance with Andrew Reiskind, CDO at Mastercard

3 mars 2025 | 48 min

Generative AI has transformed the financial services sector, sparking interest at all organizational levels. As AI becomes more accessible, professionals are exploring its potential to enhance their work. How can AI tools improve personalization and fraud detection? What efficiencies can be gained in product development and internal processes? These are the questions driving the adoption of AI as companies strive to innovate responsibly while maximizing value.

Andrew serves as the Chief Data Officer for Mastercard, leading the organization’s data strategy and innovation efforts while navigating current and future data risks. Andrews's prior roles at Mastercard include Senior Vice President, Data Management, in which he was responsible for the quality, collection, and use of data for Mastercard’s information services and advisory business, and Mastercard’s Deputy Chief Privacy Officer, in which he was responsible for privacy and data protection issues globally for Mastercard. Andrew also spent many years as a Privacy & Intellectual Property Council advising direct marketing services, interactive advertising, and industrial chemicals industries.

Andrew holds Juris Doctor from Columbia University School of Law and has his bachelor’s degree, cum laude, in Chemical Engineering from the University of Delaware. Andrew is a retired member of the State Bar of New York.

In the episode, Adel and Andrew explore GenAI's transformative impact on financial services, the democratization of AI tools, efficiency gains in product development, the importance of AI governance and data quality, the cultural shifts and regulatory landscapes shaping AI's future, and much more.

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#287 Self-Service Generative AI Product Development at Credit Karma with Madelaine Daianu, Head of Data & AI at Credit Karma

27 februari 2025 | 48 min

#286 Data Science Trends from 2 Kaggle Grandmasters with Jean-Francois Puget, Distinguished Engineer at NVIDIA & Chris Deotte, Senior Data Scientist at NVIDIA

24 februari 2025 | 44 min

#285 Building an Analytics Production Line with Lee Feinberg, CEO at DecisionViz

20 februari 2025 | 55 min

Industry Roundup #3: The Rise of Reasoning LLMs, OpenAI Operator, Project Stargate, and Gemini’s Struggle for Recognition

19 februari 2025 | 29 min

#284 How Optimization Powers Decision Intelligence with Duke Perrucci & Ed Klotz, CEO and Senior Mathematical Optimization Specialist at Gurobi Optimization

17 februari 2025 | 45 min

Optimization and decision intelligence are reshaping industries, from logistics to finance. But what does this mean for professionals navigating daily challenges? Whether you're scheduling employees or managing power grids, finding the optimal solution can mean the difference between success and failure. How do you leverage optimization to make smarter, data-driven decisions? And how do you ensure these solutions are embraced by your team? Join us as we delve into the practical applications of optimization in the workplace.

Duke Perrucci is the CEO at Gurobi Optimization. Prior to being appointed CEO, Duke served as CRO and COO since 2018. Perrucci has over 25 years of experience in sales, marketing, and analytics roles. Before joining Gurobi, he served at Cambridge Analytica, FocusVision, and Unilever. He also spent nine years with Information Resources, Inc., where he worked across the entire PepsiCo enterprise.

Dr. Ed Klotz is a Senior Mathematical Optimization Specialist at Gurobi Optimization. Klotz has over 30 years of experience in the mathematical optimization software industry. He is a technical expert who has helped customers solve some of the world’s most challenging mathematical optimization problems. Dr. Klotz works closely with Gurobi's customers to support them in implementing and utilizing mathematical optimization in their organizations. He also interacts heavily with the R&D team based on his experiences with the customers.

In the episode, Richie, Duke, and Ed explore decision intelligence, optimization in various industries, the synergy between optimization and machine learning, overcoming challenges in model building, the role of large language models in democratizing optimization, and much more.

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#283 Data Storytelling With High ROI: How to Create Great Thought Leadership with Cindy Anderson & Anthony Marshall, CMO and Senior Research Director at IBM

13 februari 2025 | 37 min

Thought leadership is more than just a buzzword—it's a strategic tool that can significantly influence business decisions and relationships. But what makes thought leadership effective? How do you ensure your insights are not only heard but also trusted and acted upon? What role does generative AI play in enhancing the storytelling process, and how can it be leveraged to create compelling narratives that resonate with your audience?

Cindy Anderson is the Chief Marketing Officer/Global Lead for Engagement & Eminence at the IBM Institute for Business Value (IBV).  She has co-authored research reports, published numerous articles, and delivered presentations on thought leadership, diversity, strategy implementation, project management, and technology to global audiences. She oversees a team of 30 editors, designers, and social media/email marketers. She is a founding board member of the Global Thought Leadership Institute at APQC, a new association that advances the practice of thought leadership.

Anthony Marshall is the Chair of the Board of Advisors for The Global Thought Leadership Institute at APQC and the Senior Research Director of thought leadership at the IBM Institute for Business Value (IBV), leading the top-rated thought leadership and analysis program. He oversees a global team of 60 technology and industry experts, statisticians, economists, and analysts. Anthony conducts original thought leadership and has authored dozens of refereed articles and studies on topics including generative AI, innovation, digital and business transformation and ecosystems, open collaboration and skills.

In the episode, Richie, Cindy, and Anthony explore the framework for thought leadership storytelling, the role of generative AI in thought leadership, the ROI of thought leadership, building trust and quality in research, and much more.

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#282 Navigating the Challenges of Product Integrations with Gil Feig, Co-Founder and CTO of Merge

10 februari 2025 | 27 min

#281 Developing AI Products That Impact Your Business with Venky Veeraraghavan, Chief Product Officer at DataRobot

6 februari 2025 | 38 min

#280 Can We Create A Universal AI Employee? with Surojit Chatterjee, CEO of Ema

3 februari 2025 | 39 min

#279 Customer Strategy in the Age of AI with David Edelman, Harvard Business School Fellow, Executive Advisor with BCG

30 januari 2025 | 47 min

#278 Building Multi-Modal AI Applications with Russ d'Sa, CEO & Co-founder of LiveKit

27 januari 2025 | 47 min

#277 How Generative AI is Changing Leadership with Christie Smith, Founder of the Humanity Institute and Kelly Monahan, Managing Director, Upwork Research Institute

23 januari 2025 | 48 min

Leadership is facing unprecedented challenges in today's socio-political and economic climate. As the lines between work and personal life blur, professionals are seeking workplaces that prioritize humanity and purpose. How can leaders create environments that support employee well-being and connection? With AI's growing presence, how do we balance technological integration with maintaining a human-centered approach?

Dr. Christie Smith is a renowned leadership expert, visionary thinker, and founder of The Humanity Studio, a pioneering research and advisory institute dedicated to improving the way we live by revolutionizing the way we work. With over 35 years of experience advising Fortune 500 companies and holding global leadership roles at Accenture, Apple, and Deloitte, Dr. Smith has shaped the future of leadership, talent strategy, and organizational culture across industries.

Dr. Kelly Monahan is Managing Director of the Upwork Research Institute, leading their future of work research program. Her research has been recognized and published in both applied and academic journals, including MIT Sloan Management Review and the Journal of Strategic Management. In 2018, Kelly released her first book, “How Behavioral Economics Influences Management Decision-Making: A New Paradigm” (Academic Press/Elsevier Publishers). In 2019, Kelly gave her first TedX talk on the future of work. Kelly is frequently quoted in the media on talent decision-making and the future of work. She also has written over a dozen publications and is a sought-after speaker on how to apply new management and talent models in knowledge-based organizations. Kelly holds a B.S. from Rochester Institute of Technology, an M.S. from Roberts Wesleyan College, and a Ph.D. in Organizational Leadership from Regent University.

In the episode, Richie, Christie, and Kelly explore leadership transformations driven by crises, the rise of human-centered workplaces, the integration of AI with human intelligence, the evolving skill landscape, the emergence of gray-collar work, and much more.

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#276 Why Getting AI Ethics Right Really Matters with Christopher DiCarlo, Professor at University of Toronto, Senior Researcher and Ethicist at Convergence Analysis

20 januari 2025 | 48 min

#275 Did Gen AI Kill NLP? with Meri Nova, Technical Founder at Break into Data

16 januari 2025 | 39 min

#274 Data Trends & Predictions 2025 with DataCamp's CEO & COO, Jonathan Cornelissen & Martijn Theuwissen

13 januari 2025 | 44 min

#273 Reviewing Our Data Trends & Predictions of 2024 with DataCamp's CEO & COO, Jonathan Cornelissen & Martijn Theuwissen

9 januari 2025 | 31 min

#272 The Unreasonable Effectiveness of AI in Software Development with Eran Yahav, CTO of Tabnine

6 januari 2025 | 41 min

#271 Creating High Quality AI Applications with Theresa Parker & Sudhi Balan, Rocket Software

2 januari 2025 | 51 min

AI features and products are the hottest area of software development. Creating high quality AI software is both essential and challenging for many businesses. In this episode, we look at retrieval augmented generation, an important technique for improving text generation quality in AI applications. Beyond technical measures, we look at the broader quality problem for AI applications. How do you ensure your AI applications are effective and secure? What steps should you take to integrate AI into your existing data governance frameworks? And how do you measure the success of these AI-driven solutions?

Theresa Parker is the Director of Product Management at Rocket Software. She has 25 years of experience as a technology executive with a focus on software development processes, consultancy, and business development. Her recent work in content management focuses on the use of AI and RAG to improve content discoverability.

Sudhi Balan is the Chief Technology Officer for AI & Cloud. He leads the AI and data teams for data modernization, driving AI adoption of Rocket's structured and unstructured data products. He also shapes AI strategy for Rocket’s infrastructure and app portfolio. He has earned patents for safe and scalable applications of transformational technology. Previously, he led digital transformation and hybrid cloud strategy for Rocket’s unstructured data business and was Senior Director of Product Development at ASG.

In the episode, Richie, Theresa, and Sudhi explore retrieval-augmented generation, its applications in customer support and loan processing, the importance of data governance and privacy, the role of testing and guardrails in AI, cost management strategies, and the potential of AI to transform customer experiences, and much more.

Links Mentioned in the Show:

Rocket Software
Connect with Theresa and Sudhi
Course: Retrieval Augmented Generation (RAG) with LangChain
Related Episode: Getting Generative AI Into Production with Lin Qiao, CEO and Co-Founder of Fireworks AI
Rewatch sessions from RADAR: Forward Edition

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Best of 2024: Data & AI Trends in 2024, with Tom Tunguz, General Partner at Theory Ventures

30 december 2024 | 38 min

As we look back at 2024, we're highlighting some of our favourite episodes of the year, and with 100 of them to choose from, it wasn't easy!

The four guests we'll be recapping with are:

Lea Pica - A celebrity in the data storytelling and visualisation space. Richie and Lea cover the full picture of data presentation, how to understand your audience, how to leverage hollywood storytelling and more. Out December 19.
Alex Banks - Founder of Sunday Signal. Adel and Alex cover Alex’s journey into AI and what led him to create Sunday Signal, the potential of AI, prompt engineering at its most basic level, chain of thought prompting, the future of LLMs and more. Out December 23.
Don Chamberlin - The renowned co-inventor of SQL. Richie and Don explore the early development of SQL, how it became standardized, the future of SQL through NoSQL and SQL++ and more. Out December 26.
Tom Tunguz - general Partner at Theory Ventures, a $235m VC firm. Richie and Tom explore trends in generative AI, cloud+local hybrid workflows, data security, the future of business intelligence and data analytics, AI in the corporate sector and more. Out December 30.

Rapid change seems to be the new norm within the data and AI space, and due to the ecosystem constantly changing, it can be tricky to keep up. Fortunately, any self-respecting venture capitalist looking into data and AI will stay on top of what’s changing and where the next big breakthroughs are likely to come from. We all want to know which important trends are emerging and how we can take advantage of them, so why not learn from a leading VC.

Tomasz Tunguz is a General Partner at Theory Ventures, a $235m early-stage venture capital firm. He blogs sat tomtunguz.com & co-authored Winning with Data. He has worked or works with Looker, Kustomer, Monte Carlo, Dremio, Omni, Hex, Spot, Arbitrum, Sui & many others.

He was previously the product manager for Google's social media monetization team, including the Google-MySpace partnership, and managed the launches of AdSense into six new markets in Europe and Asia. Before Google, Tunguz developed systems for the Department of Homeland Security at Appian Corporation.

In the episode, Richie and Tom explore trends in generative AI, the impact of AI on professional fields, cloud+local hybrid workflows, data security, and changes in data warehousing through the use of integrated AI tools, the future of business intelligence and data analytics, the challenges and opportunities surrounding AI in the corporate sector. You'll also get to discover Tom's picks for the hottest new data startups.

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Best of 2024: 50 Years of SQL with Don Chamberlin, Computer Scientist and Co-Inventor of SQL

26 december 2024 | 36 min

As we look back at 2024, we're highlighting some of our favourite episodes of the year, and with 100 of them to choose from, it wasn't easy!

The four guests we'll be recapping with are:

Lea Pica - A celebrity in the data storytelling and visualisation space. Richie and Lea cover the full picture of data presentation, how to understand your audience, how to leverage hollywood storytelling and more. Out December 19.
Alex Banks - Founder of Sunday Signal. Adel and Alex cover Alex’s journey into AI and what led him to create Sunday Signal, the potential of AI, prompt engineering at its most basic level, chain of thought prompting, the future of LLMs and more. Out December 23.
Don Chamberlin - The renowned co-inventor of SQL. Richie and Don explore the early development of SQL, how it became standardized, the future of SQL through NoSQL and SQL++ and more. Out December 26.
Tom Tunguz - general Partner at Theory Ventures, a $235m VC firm. Richie and Tom explore trends in generative AI, cloud+local hybrid workflows, data security, the future of business intelligence and data analytics, AI in the corporate sector and more. Out December 30.

For our 200th episode, we bring you a special guest and taking a walk down memory lane—to the creation and development of one of the most popular programming languages in the world.

Don Chamberlin is renowned as the co-inventor of SQL (Structured Query Language), the predominant database language globally, which he developed with Raymond Boyce in the mid-1970s. Chamberlin's professional career began at IBM Research in Yorktown Heights, New York, following a summer internship there during his academic years. His work on IBM's System R project led to the first SQL implementation and significantly advanced IBM’s relational database technology. His contributions were recognized when he was made an IBM Fellow in 2003 and later a Fellow of the Computer History Museum in 2009 for his pioneering work on SQL and database architectures. Chamberlin also contributed to the development of XQuery, an XML query language, as part of the W3C, which became a W3C Recommendation in January 2007. Additionally, he holds fellowships with ACM and IEEE and is a member of the National Academy of Engineering.

In the episode, Richie and Don explore his early career at IBM and the development of his interest in databases alongside Ray Boyce, the database task group (DBTG), the transition to relational databases and the early development of SQL, the commercialization and adoption of SQL, how it became standardized, how it evolved and spread via open source, the future of SQL through NoSQL and SQL++ and much more.

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Best of 2024: The Art of Prompt Engineering with Alex Banks, Founder and Educator, Sunday Signal

23 december 2024 | 44 min

As we look back at 2024, we're highlighting some of our favourite episodes of the year, and with 100 of them to choose from, it wasn't easy!

The four guests we'll be recapping with are:

Lea Pica - A celebrity in the data storytelling and visualisation space. Richie and Lea cover the full picture of data presentation, how to understand your audience, how to leverage hollywood storytelling and more. Out December 19.
Alex Banks - Founder of Sunday Signal. Adel and Alex cover Alex’s journey into AI and what led him to create Sunday Signal, the potential of AI, prompt engineering at its most basic level, chain of thought prompting, the future of LLMs and more. Out December 23.
Don Chamberlin - The renowned co-inventor of SQL. Richie and Don explore the early development of SQL, how it became standardized, the future of SQL through NoSQL and SQL++ and more. Out December 26.
Tom Tunguz - general Partner at Theory Ventures, a $235m VC firm. Richie and Tom explore trends in generative AI, cloud+local hybrid workflows, data security, the future of business intelligence and data analytics, AI in the corporate sector and more. Out December 30.

Since the launch of ChatGPT, one of the trending terms outside of ChatGPT itself has been prompt engineering. This act of carefully crafting your instructions is treated as alchemy by some and science by others. So what makes an effective prompt?

Alex Banks has been building and scaling AI products since 2021. He writes Sunday Signal, a newsletter offering a blend of AI advancements and broader thought-provoking insights. His expertise extends to social media platforms on X/Twitter and LinkedIn, where he educates a diverse audience on leveraging AI to enhance productivity and transform daily life.

In the episode, Alex and Adel cover Alex’s journey into AI and what led him to create Sunday Signal, the potential of AI, prompt engineering at its most basic level, strategies for better prompting, chain of thought prompting, prompt engineering as a skill and career path, building your own AI tools rather than using consumer AI products, AI literacy, the future of LLMs and much more.

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Best of 2024: Data Storytelling and Visualization with Lea Pica from Present Beyond Measure

19 december 2024 | 72 min

As we look back at 2024, we're highlighting some of our favourite episodes of the year, and with 100 of them to choose from, it wasn't easy!

The four guests we'll be recapping with are:

Lea Pica - A celebrity in the data storytelling and visualisation space. Richie and Lea cover the full picture of data presentation, how to understand your audience, how to leverage hollywood storytelling and more. Out December 19.
Alex Banks - Founder of Sunday Signal. Adel and Alex cover Alex’s journey into AI and what led him to create Sunday Signal, the potential of AI, prompt engineering at its most basic level, chain of thought prompting, the future of LLMs and more. Out December 23.
Don Chamberlin - The renowned co-inventor of SQL. Richie and Don explore the early development of SQL, how it became standardized, the future of SQL through NoSQL and SQL++ and more. Out December 26.
Tom Tunguz - general Partner at Theory Ventures, a $235m VC firm. Richie and Tom explore trends in generative AI, cloud+local hybrid workflows, data security, the future of business intelligence and data analytics, AI in the corporate sector and more. Out December 30.

Your data project doesn't end once you have results. In order to have impact, you need to communicate those results to others. Presentations filled with endless tables and technical jargon can easily become tedious, leading your audience to lose interest or misunderstand your point.

Data storytelling provides a solution to this: by creating a narrative around your results you can increase engagement and understanding from your audience. This is an art, and there are so many factors that contribute to visualizing data and creating a compelling story, it can be overwhelming. However, with the right approach, creating data stories can become second nature. In this special episode of DataFramed, we join forces with the Present Beyond Measure podcast to glean the best data presentation practices from one of the leading voices in the space.

Lea Pica host of the Founder and Host of the Present Beyond Measure podcast and is a seasoned digital analytics practitioner, social media marketer and blogger with over 11 years of experience building search marketing and digital analytics practices for companies like Scholastic, Victoria’s Secret and Prudential.

Present Beyond Measure’s mission is to bring their teachings to the digital marketing and web analytics communities, and empower anyone responsible for presenting data to an audience.

In the full episode, Richie and Lea cover the full picture of data presentation, how to understand your audience, leverage hollywood storytelling, data storyboarding and visualization, the use of imagery in presentations, cognitive load management, the use of throughlines in presentations, how to improve your speaking and engagement skills, data visualization techniques in business setting and much more.

Links Mentioned in the Show:

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#270 Leadership in the AI Era with Dana Maor, Senior Partner at McKinsey & Company

16 december 2024 | 35 min

#269 Governing Data Models with Sarah Levy, CEO and Co-Founder at Euno

12 december 2024 | 38 min

We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.

Imagine spending millions on data tools only to find you can’t trust the answers they provide. What if different teams define key metrics in different ways? Without a clear, unified approach, chaos reigns, and confidence erodes. What role do data governance and semantic layers play in helping you trust the AI tools you build and the insights you get from your data?

Sarah Levy is a seasoned executive with extensive experience in data science, artificial intelligence, and technology leadership. Currently serving as Co-Founder and CEO of Euno since January 2023, Sarah has previously held significant positions, including VP of Data Science and Data Analytics for Real Estate at Pagaya and CTO at Sight Diagnostics, where innovative advancements in blood testing were achieved. With a strong foundation in research and development from roles at Sight Diagnostics and Natural Intelligence, as well as a robust background in cyber security gained from tenure at the IDF, Sarah has consistently driven impactful decision-making and technological advancements throughout their career. Academic credentials include a Master's degree in Condensed Matter Physics from the Weizmann Institute of Science and a Bachelor's degree in Mathematics and Physics from The Hebrew University of Jerusalem.

In the episode, Richie and Sarah explore the challenges of data governance, the role of semantic layers in ensuring data trust, the emergence of analytics engineers, the integration of AI in data processes, and much more.

Links Mentioned in the Show:

Euno
Connect with Sarah
Course: Responsible AI Data Management
Related Episode: How Data Leaders Can Make Data Governance a Priority with Saurabh Gupta, Chief Strategy & Revenue Officer at The Modern Data Company
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#268 Scaling AI in the Enterprise with Abhas Ricky, Chief Strategy Officer at Cloudera

9 december 2024 | 43 min

We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.

AI adoption is not just about flashy innovations or big models. For businesses, it’s about solving real problems and driving measurable outcomes. That means aligning your data infrastructure, navigating compute costs, and understanding where AI adds the most value. How do enterprises prioritize their use cases? What role does hybrid play in scaling securely and efficiently? What’s the next frontier beyond generative AI?

As Chief Strategy Officer, Abhas Ricky leads the overall corporate strategy for Cloudera and is responsible for creating the company vision, building the business and customer target operating model, communicating that with key stakeholders via clearly defined OKRs, and executing key transformational initiatives to realize that plan. He’s also tasked with driving growth and innovation and making appropriate build/buy partner decisions, including pricing and packaging, corporate development, and Cloudera’s innovation accelerator to launch new products. Previously, he served as chief of staff and vice president for business transformation at the company. Prior to the Cloudera/Hortonworks merger, he helped scale Hortonworks’ go-to-market efforts as global head of customer innovation and value management. A management consultant by training, he is passionate about driving action and change in the society and has led projects with multiple organizations including the World Economic Forum, Founders of the Future, and other nonprofits.

In the episode, Richie and Abhas explore the evolving landscape of data security and governance, the importance of data as an asset, the role of AI in transforming business processes, the challenges of data sprawl, and the significance of hybrid AI solutions, and much more.

Links Mentioned in the Show:

Cloudera
Connect with Abhas
Course: Understanding Cloud Computing Course
Related Episode: Aligning AI with Enterprise Strategy with Leon Gordon, CEO at Onyx Data
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Industry Roundup #2: AI Agents for Data Work, The Return of the Full-Stack Data Scientist and Old languages Make a Comeback

6 december 2024 | 28 min

#267 No More NoSQL? How AI is Changing the Database with Sahir Azam, Chief Product Officer at MongoDB

5 december 2024 | 44 min

#266 Edge AI with Derek Collison & Justyna Bak, CEO & VP of Marketing at Synadia

2 december 2024 | 39 min

We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.

Edge computing is poised to transform industries by bringing computation and data storage closer to the source of data generation. This shift unlocks new types of value creation with data & AI and allows for a privacy-first and deeply personalized use of AI on our devices. What will the edge computing transition look like? How do you ensure applications are edge-ready, and what is the role of AI in the transition?

Derek Collison is the founder and CEO at Synadia. He is an industry veteran, entrepreneur and pioneer in large-scale distributed systems and cloud computing. Derek founded Synadia Communications and Apcera, and has held executive positions at Google, VMware, and TIBCO Software. He is also an active angel investor and a technology futurist around Artificial Intelligence, Machine Learning, IOT and Cloud Computing.

Justyna Bak is VP of Marketing at Synadia. Justyna is a versatile executive bridging Marketing, Sales and Product, a spark-plug for innovation at startups and Fortune 100 and a tech expert in Data Analytics and AI, AppDev and Networking. She is an astute influencer, panelist and presenter (Google, HBR) and a respected leader in Silicon Valley and Europe.

In the episode, Richie, Derek, and Justyna explore the transition from cloud to edge computing, the benefits of reduced latency, real-time decision-making in industries like manufacturing and retail, the role of AI at the edge, and the future of edge-native applications, and much more.

Links Mentioned in the Show:

Synadia
Connect with Derek and Justyna
Course: Understanding Cloud Computing
Related Episode: The Database is the Operating System with Mike Stonebraker, CTO & Co-Founder At DBOS
Rewatch sessions from RADAR: Forward Edition

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#265 What You Need to Know About the EU AI Act with Dan Nechita, EU Director at Transatlantic Policy Network

28 november 2024 | 48 min

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With the EU AI Act coming into effect, the AI industry faces a pivotal moment. This regulation is a landmark step for AI governance and challenges data and AI teams to rethink their approach to AI development and deployment. How will this legislation influence the way AI systems are built and used? What are the key compliance requirements that organizations need to be aware of? And how can companies balance regulatory obligations with the drive for innovation and growth?

Dan Nechita led the technical negotiations for the EU Artificial Intelligence Act on behalf of the European Parliament. For the 2019-2024 mandate, besides artificial intelligence, he focused on digital regulation, security and defense, and the transatlantic partnership as Head of Cabinet for Dragos Tudorache, MEP. Previously, he was a State Counselor for the Romanian Prime Minister with a mandate on e-governance, digitalization, and cybersecurity. He worked at the World Security Institute (the Global Zero nuclear disarmament initiative); at the Brookings Institution Center of Executive Education; as a graduate teaching assistant at the George Washington University; at the ABC News Political Unit; and as a research assistant at the Arnold A. Saltzman Institute of War and Peace at Columbia. He is an expert project evaluator for the European Commission and a member of expert AI working groups with the World Economic Forum and the United Nations. Dan is a graduate of the George Washington University (M.A.) and Columbia University in the City of New York (B.A.).

In the episode, Adel and Dan explore the EU AI Act's significance, risk classification frameworks, organizational compliance strategies, the intersection with existing regulations, AI literacy requirements, and the future of AI legislation, and much more.

Links Mentioned in the Show:

The EU AI Act
Connect with Dan
Course: Understanding the EU AI Act
Related Episode: Guardrails for the Future of AI with Viktor Mayer-Schönberger, Professor of Internet Governance and Regulation at the University of Oxford
Rewatch sessions from RADAR: Forward Edition

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#264 From Gen AI to Gen BI with Omri Kohl, CEO and Co-Founder of Pyramid Analytics

25 november 2024 | 48 min

Industry Roundup #1: OpenAI vs Anthropic, Claude Computer Use, NotebookLM

22 november 2024 | 30 min

#263 The Data to AI Journey with Gerrit Kazmaier, VP and GM of Data Analytics at Google Cloud

21 november 2024 | 55 min

#262 Self-Service Business Intelligence with Sameer Al-Sakran, CEO at Metabase

18 november 2024 | 51 min

#261 Low Code Data Science with Michael Berthold, CEO and co-founder of KNIME

14 november 2024 | 34 min

#260 Harnessing the Power of Now With Real-Time Analytics with Zuzanna Stamirowska & Hélène Stanway

13 november 2024 | 53 min

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Staying ahead means knowing what’s happening right now—not minutes or hours later. Real-time analytics promises to help teams react faster, make informed choices, and even predict issues before they arise. But implementing these systems is no small feat, and it requires careful alignment between technical capabilities and business needs. How do you ensure that real-time data actually drives impact? And what should organizations consider to make sure their real-time analytics investments lead to tangible benefits?

Zuzanna Stamirowska is the CEO of Pathway.com - the fastest data processing engine on the market which makes real-time intelligence possible. Zuzanna is also the author of the state-of-the-art forecasting model for maritime trade published by the National Academy of Sciences of the USA. While working on this project she saw that the digitization of traditional industries was slowed down by the lack of a software infrastructure capable of doing automated reasoning on top of data streams, in real time. This was the spark to launch Pathway. She holds a Master’s degree in Economics and Public Policy from Sciences Po, Ecole Polytechnique, and ENSAE, as well as a PhD in Complexity Science..

Hélène Stanway is Independent Advisor & Consultant at HMLS Consulting Ltd. Hélène is an award-winning and highly effective insurance leader with a proven track record in emerging technologies, innovation, operations, data, change, and digital transformation. Her passion for actively combining the human element, design, and innovation alongside technology has enabled companies in the global insurance market to embrace change by achieving their desired strategic goals, improving processes, increasing efficiency, and deploying relevant tools. With a special passion for IoT and Sensor Technology, Hélène is a perpetual learner, driven to help delegates succeed.

In the episode, Richie, Zuzanna and Hélène explore real-time analytics, their operational impact, use-cases of real-time analytics across industries, the benefits of adopting real-time analytics, the key roles and stakeholders you need to make that happen, operational challenges, strategies for effective adoption, the real-time of the future, common pitfalls, and much more.

Links Mentioned in the Show:

Pathway

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#259 Getting the Data For Your Data-Driven Decisions with Jonathan Bloch & Scott Voigt

7 november 2024 | 46 min

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Understanding where the data you use comes from, how to use it responsibly, and how to maximize its value has become essential. But as data sources multiply, so do the complexities around data privacy, customization, and ownership. How can companies capture and leverage the right data to create meaningful customer experiences while respecting privacy? And as data drives more personalized interactions, what steps can businesses take to protect sensitive information and navigate the increasingly complex regulatory picture?

Jonathan Bloch is CEO at Exchange Data International (EDI) and a seasoned businessman with 40 years experience in information provision. He started work in the newsletter industry and ran the US subsidiary of a UK public company before joining its main board as head of its publishing division. He has been a director and/or chair of several companies and is currently a non executive director of an FCA registered investment bank. In 1994 he founded Exchange Data International (EDI) a London based financial data provider. EDI now has over 450 clients across three continents and is based in the UK, USA, India and Morocco employing 500 people.

Scott Voigt is CEO and co-founder at Fullstory. Scott has enjoyed helping early-stage software businesses grow since the mid 90s, when he helped launch and take public nFront—one of the world's first Internet banking service providers. Prior to co-founding Fullstory, Voigt led marketing at Silverpop before the company was acquired by IBM. Previously, he worked at Noro-Moseley Partners, the Southeast's largest Venture firm, and also served as COO at Innuvo, which was acquired by Google. Scott teamed up with two former Innuvo colleagues, and the group developed the earliest iterations of Fullstory to understand how an existing product was performing. It was quickly apparent that this new platform provided the greatest value—and the rest is history.

In the episode, Richie, Jonathan and Scott explore first-party vs third-party data, protecting corporate data, behavioral data, personalization, data sourcing strategies, platforms for storage and sourcing, data privacy, synthetic data, regulations and compliance, the future of data collection and storage, and much more.

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#258 Machine Learning for Ride Sharing at Lyft, with Rachita Naik, ML Engineer at Lyft

4 november 2024 | 36 min

Machine learning and AI have become essential tools for delivering real-time solutions across industries. However, as these technologies scale, they bring their own set of challenges—complexity, data drift, latency, and the constant fight between innovation and reliability. How can we deploy models that not only enhance user experiences but also keep up with changing demands? And what does it take to ensure that these solutions are built to adapt, perform, and deliver value at scale?

Rachita Naik is a Machine Learning (ML) Engineer at Lyft, Inc., and a recent graduate of Columbia University in New York. With two years of professional experience, Rachita is dedicated to creating impactful software solutions that leverage the power of Artificial Intelligence (AI) to solve real-world problems. At Lyft, Rachita focuses on developing and deploying robust ML models to enhance the ride-hailing industry’s pickup time reliability. She thrives on the challenge of addressing ML use cases at scale in dynamic environments, which has provided her with a deep understanding of practical challenges and the expertise to overcome them. Throughout her academic and professional journey, Rachita has honed a diverse skill set in AI and software engineering and remains eager to learn about new technologies and techniques to improve the quality and effectiveness of her work.

In the episode, Adel and Rachita explore how machine learning is leveraged at Lyft, the primary use-cases of ML in ride-sharing, what goes into an ETA prediction pipeline, the challenges of building large scale ML systems, reinforcement learning for dynamic pricing, key skills for machine learning engineers, future trends across machine learning and generative AI and much more.

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#257 Can You Use AI-Driven Pricing Ethically? with Jose Mendoza, Academic Director & Clinical Associate Professor at NYU

1 november 2024 | 45 min

#256 From Deep Learning to SuperIntelligence with Terry Sejnowski, Head of Computational Neurobiology at Salk Institute

28 oktober 2024 | 50 min

With the recent rapid advancements in AI comes the challenge of navigating an ever-changing field of play, while ensuring the tech we use serves real-world needs. As AI becomes more ingrained in business and everyday life, how do we balance cutting-edge development with practicality and ethical responsibility? What steps are necessary to ensure AI’s growth benefits society, aligns with human values, and avoids potential risks? What similarities can we draw between the way we think, and the way AI thinks for us?

Terry Sejnowski is one of the most influential figures in computational neuroscience. At the Salk Institute for Biological Studies, he runs the Computational Neurobiology Laboratory, and hold the Francis Crick Chair. At the University of California, San Diego, he is a Distinguished Professor and runs a neurobiology lab. Terry is also the President of the Neural Information Processing (NIPS) Foundation, and an organizer of the NeurIPS AI conference. Alongside Geoff Hinton, Terry co-invented the Boltzmann machine technique for machine learning. He is the author of over 500 journal articles on neuroscience and AI, and the book "ChatGPT and the Future of AI".

In the episode, Richie and Terry explore the current state of AI, historical developments in AI, the NeurIPS conference, collaboration between AI and neuroscience, AI’s shift from academia to industry, large vs small LLMs, creativity in AI, AI ethics, autonomous AI, AI agents, superintelligence, and much more.

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#255 Not Only Vector Databases: Putting Databases at the Heart of AI, with Andi Gutmans, VP and GM of Databases at Google

24 oktober 2024 | 46 min

#254 Career Skills for Data Professionals with Wes Kao, Co-Founder of Maven

21 oktober 2024 | 46 min

#253 The Infrastructure Supporting the Data Revolution with Saad Siddiqui, General Partner at Titanium Ventures

17 oktober 2024 | 38 min

#252 Is Big Data Dead? MotherDuck and the Small Data Manifesto with Ryan Boyd Co-Founder at MotherDuck

14 oktober 2024 | 49 min

#251 The New Toolkit For CDOs with Adrian Estala, VP, Field Chief Data Officer at Starburst

11 oktober 2024 | 48 min

#250 How Data and AI are Changing Data Management with Jamie Lerner, CEO, President & Chairman at Quantum

7 oktober 2024 | 48 min

#249 Towards Self-Service Data Engineering with Taylor Brown, Co-Founder and COO at Fivetran

3 oktober 2024 | 50 min

#248 Effective Product Management for AI with Marily Nika, Gen AI Product Lead at Google Assistant

30 september 2024 | 42 min

#247 Aligning AI with Enterprise Strategy with Leon Gordon, CEO at Onyx Data

26 september 2024 | 40 min

#246 AI and the Future of Art with Kent Keirsey, Founder & CEO at Invoke

23 september 2024 | 47 min

#245 Can We Make Generative AI Cheaper? With Natalia Vassilieva, Senior VP & Field CTO & Andy Hock, VP, Product & Strategy at Cerebras Systems

19 september 2024 | 46 min

With AI tools constantly evolving, the potential for innovation seems limitless. But with great potential comes significant costs, and the question of efficiency and scalability becomes crucial. How can you ensure that your AI models are not only pushing boundaries but also delivering results in a cost-effective way? What strategies can help reduce the financial burden of training and deploying models, while still driving meaningful business outcomes?

Natalia Vassilieva is the VP & Field CTO of ML at Cerebras Systems. Natalia has a wealth of experience in research and development in natural language processing, computer vision, machine learning, and information retrieval. As Field CTO, she helps drive product adoption and customer engagement for Cerebras Systems' wafer-scale AI chips. Previously, Natalia was a Senior Research Manager at Hewlett Packard Labs, leading the Software and AI group. She also served as the head of HP Labs Russia leading research teams focused on developing algorithms and applications for text, image, and time-series analysis and modeling. Natalia has an academic background, having been a part-time Associate Professor at St. Petersburg State University and a lecturer at the Computer Science Center in St. Petersburg, Russia. She holds a PhD in Computer Science from St. Petersburg State University.

Andy Hock is the Senior VP, Product & Strategy at Cerebras Systems. Andy runs the product strategy and roadmap for Cerebras Systems, focusing on integrating AI research, hardware, and software to accelerate the development and deployment of AI models. He has 15 years of experience in product management, technical program management, and enterprise business development; over 20 years of experience in research, algorithm development, and data analysis for image processing; and 9 years of experience in applied machine learning and AI. Previously he was Product Management lead for Data and Analytics for Terra Bella at Google, where he led the development of machine learning-powered data products from satellite imagery. Earlier, he was Senior Director for Advanced Technology Programs at Skybox Imaging (which became Terra Bella following its acquisition by Google in 2014), and before that was a Senior Program Manager and Senior Scientist at Arete Associates. He has a Ph.D. in Geophysics and Space Physics from the University of California, Los Angeles.

In the episode, Richie, Natalia and Andy explore the dramatic recent progress in generative AI, cost and infrastructure challenges in AI, Cerebras’ custom AI chips and other hardware innovations, quantization in AI models, mixture of experts, RLHF, relevant AI use-cases, centralized vs decentralized AI compute, the future of AI and much more.

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#244 Using Data to Optimize Costs in Healthcare with Travis Dalton and Jocelyn Jiang President/CEO & VP of Data & Decision Science at MultiPlan

16 september 2024 | 39 min

In healthcare, data is becoming one of the most valuable tools for improving patient care and reducing costs. But with massive amounts of information and complex systems, how do organizations turn that data into actionable insights? How can AI and machine learning be used to create more transparency and help patients make better decisions? And more importantly, how can we ensure that these technologies make healthcare more efficient and affordable for everyone involved?

Travis Dalton is the President and CEO at Multiplan overseeing the execution of the company's mission and growth strategy. He has 20 years of leadership experience, with a focus on reducing the cost of healthcare, and enabling better outcomes for patients and healthcare providers. Previously, he was a General Manager and Executive VP at Oracle Health.

Jocelyn Jiang is the Vice President of Data & Decision Science at MultiPlan, a role she has held since 2023. In her position, she is responsible for leading the data and analytics initiatives that drive the company’s strategic growth and enhance its service offerings in the healthcare sector. Jocelyn brings extensive experience from her previous roles in healthcare and data science, including her time at EPIC Insurance Brokers & Consultants and Aon, where she worked in various capacities focusing on health and welfare consulting and actuarial analysis.

In the episode, Richie, Travis and Jocelyn explore the US healthcare system and the industry-specific challenges professionals face, the role of data in healthcare, ML and data science in healthcare, the future potential of healthcare tech, the global application of healthcare data solutions and much more.

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#243 No-Code LLMs In Practice with Birago Jones & Karthik Dinakar, CEO & CTO at Pienso

12 september 2024 | 54 min

As AI becomes more accessible, a growing question is: should machine learning experts always be the ones training models, or is there a better way to leverage other subject matter experts in the business who know the use-case best? What if getting started building AI apps required no coding skills? As businesses look to implement AI at scale, what part can no-code AI apps play in getting projects off the ground, and how feasible are smaller, tailored solutions for department specific use-cases?

Birago Jones is the CEO at Pienso. Pienso is an AI platform that empowers subject matter experts in various enterprises, such as business analysts, to create and fine-tune AI models without coding skills. Prior to Pienso, Birago was a Venture Partner at Indicator Ventures and a Research Assistant at MIT Media Lab where he also founded the Media Lab Alumni Association.

Karthik Dinakar is a computer scientist specializing in machine learning, natural language processing, and human-computer interaction. He is the Chief Technology Officer and co-founder at Pienso. Prior to founding Pienso, Karthik held positions at Microsoft and Deutsche Bank. Karthik holds a doctoral degree from MIT in Machine Learning.

In the episode, Richie, Birago and Karthik explore why no-code AI apps are becoming more prominent, uses-cases of no-code AI apps, the steps involved in creating an LLM, the benefits of small tailored models, how no-code can impact workflows, cost in AI projects, AI interfaces and the rise of the chat interface, privacy and customization, excitement about the future of AI, and much more.

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#242 Data Storytelling for Kids with Cole Nussbaumer Knaflic, Founder and CEO of Storytelling with Data

9 september 2024 | 50 min

We’ve all met someone with a limiting belief, someone who describes their relationship with data as: “I’m not a data person” or “I can’t tell a data story.” Oftentimes, this mindset starts in childhood. Data storytelling is an incredible vehicle to challenge and reshape these beliefs early on. Imagine if kids could develop the skills to ask the right questions, interpret data, and tell powerful stories with it from a young age. How can we introduce children to data storytelling in a fun and engaging way?

Cole Nussbaumer Knaflic has always had a penchant for turning data into pictures and into stories. She is CEO of Storytelling with Data, the author of the best-selling books, Storytelling with Data: a Data Visualization Guide for Business Professionals, Storytelling with Data: Let’s Practice!, and Storytelling with You: Plan, Create, and Deliver a Stellar Presentation. For more than a decade, Cole and her team have delivered interactive learning sessions sought after by data-minded individuals, companies, and philanthropic organizations all over the world. They also help people create graphs that make sense and weave them into compelling stories through the popular SWD community, blog, podcast, and videos.

In the episode, Adel and Cole explore Cole’s book Daphne Draws Data, challenging limiting beliefs that can develop during childhood, why early exposure to data literacy is important, engaging with children using data, adapting complex topics, data storytelling for adults, data visualization, building a data storytelling culture, the future of data storytelling in the age of AI, and much more.

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#241 Getting Generative AI Into Production with Lin Qiao, CEO and Co-Founder of Fireworks AI

5 september 2024 | 44 min

#240 Generative AI in the Enterprise with Steve Holden, Senior Vice President and Head of Single-Family Analytics at Fannie Mae

2 september 2024 | 39 min

The rapid rise of generative AI is changing how businesses operate, but with this change comes new challenges. How do you navigate the balance between innovation and risk, especially in a regulated industry? As organizations race to adopt AI, it’s crucial to ensure that these technologies are not only transformative but also responsible. What steps can you take to harness AI’s potential while maintaining control and transparency? And how can you build excitement and trust around AI within your organization, ensuring that everyone is ready to embrace this new era?

Steve Holden is the Senior Vice President and Head of Single-Family Analytics at Fannie Mae, leading a team of data science professionals, supporting loan underwriting, pricing and acquisition, securitization, loss mitigation, and loan liquidation for the company’s multi-trillion-dollar Single-Family mortgage portfolio. He is also responsible for all Generative AI initiatives across the enterprise. His team provides real-time analytic solutions that guide thousands of daily business decisions necessary to manage this extensive mortgage portfolio. The team comprises experts in econometric models, machine learning, data engineering, data visualization, software engineering, and analytic infrastructure design. Holden previously served as Vice President of Credit Portfolio Management Analytics at Fannie Mae. Before joining Fannie Mae in 1999, he held several analytic leadership roles and worked on economic issues at the Economic Strategy Institute and the U.S. Bureau of Labor Statistics.

In the episode Adel and Steve explore opportunities in generative AI, building a GenAI program, use-case prioritization, driving excitement and engagement for an AI-first culture, skills transformation, governance as a competitive advantage, challenges of scaling AI, future trends in AI, and much more.

Links Mentioned in the Show:

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#239 New Models for Digital Transformation with Alison McCauley Chief Advocacy Officer at Think with AI & Founder of Unblocked Future

29 augusti 2024 | 51 min

The pressure to innovate with AI is immense. There is seemingly a race against the clock for organizations to incorporate AI into their product offering, aside from continual digital transformation. As the speed of AI development accelerates, many organizations struggle to keep up, facing challenges from data readiness to changing traditional business processes. How can businesses ensure that their AI initiatives not only align with strategic goals but also foster real, tangible progress? What steps can leaders take to build AI fluency across their teams and turn potential into actionable outcomes?

Alison McCauley is a Best-Selling Author, Keynote Speaker, AI Strategist. She is Chief Advocacy Officer at Think with AI and Founder of Unblocked Future, a consultancy that leads the way in adopting emerging technologies, and has been collaborating with AI pioneers since 2010. With nearly 30 years of experience at the intersection of enterprise and disruptive innovation, Alison specializes in unlocking business value from cutting-edge technologies by focusing on the human aspects of change. She has been recognized as a Top Voice in AI, authored the book Unblocked, is a keynote speaker at global conferences, and her writings have appeared in Harvard Business Review, Forbes, and Venture Beat. Additionally, over 90,000 students have taken her LinkedIn course.

In the episode, Richie and Alison explore digital transformation and AI’s role in it, strategic alignment and shifting mindsets, AI fluency, challenges in data readiness, organizational resistance fuelled by fear, the role of management in AI transformation, practical steps to avoid AI risks, the long term impact of AI in the future and much more.

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#238 Data & AI for Improving Patient Outcomes with Terry Myerson, CEO at Truveta

26 augusti 2024 | 40 min

One of the prerequisites for being able to do great data analyses is that the data is well structured and clean and high quality. For individual projects, this is often annoying to get right. On a corporate level, it’s often a huge blocker to productivity. And then there’s healthcare data. When you consider all the healthcare records across the USA, or any other country for that matter, there are so many data formats created by so many different organizations, it’s frankly a horrendous mess. This is a big problem because there’s a treasure trove of data that researchers and analysts can’t make use of to answer questions about which medical interventions work or not. Bad data is holding back progress on improving everyone’s health.

Terry Myerson is the CEO and Co-Founder of Truveta. Truveta enables scientifically rigorous research on more than 18% of the clinical care in the U.S. from a growing collective of more than 30 health systems. Previously, Terry enjoyed a 21-year career at Microsoft. As Executive Vice President, he led the development of Windows, Surface, Xbox, and the early days of Office 365, while serving on the Senior Leadership Team of the company. Prior to Microsoft, he co-founded Intersé, one of the earliest Internet companies, which Microsoft acquired in 1997.

In the episode, Richie and Terry explore the current state of health records, challenges when working with health records, data challenges including privacy and accessibility, data silos and fragmentation, AI and NLP for fragmented data, regulatory grade AI, ongoing data integration efforts in healthcare, the future of healthcare and much more.

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#237 Guardrails for the Future of AI with Viktor Mayer-Schönberger, Professor of Internet Governance and Regulation at the University of Oxford

22 augusti 2024 | 49 min

Guardrails are not something we actively use in our day-to-day lives, they’re in place to keep us safe when we lack the control needed to keep us on course, and for that, they are essential. Navigating the complexities of decision-making in AI and data can be challenging, especially on a global scale when many are searching for any sort of competitive advantage. Every choice you make can have significant impacts, and having the right frameworks, ethics and guardrails in place are crucial. But how do you create systems that guide decisions without stifling creativity or flexibility? What practices can you employ to ensure your team consistently make better choices and flourish in the age of AI?

Viktor Mayer-Schönberger is a distinguished Professor of Internet Governance and Regulation at the Oxford Internet Institute, University of Oxford. With a career spanning over decades, his research focuses on the role of information in a networked economy. He previously served on the faculty of Harvard’s Kennedy School of Government for ten years and has authored several influential books, including the award-winning “Delete: The Virtue of Forgetting in the Digital Age” and the international bestseller “Big Data.” Viktor founded Ikarus Software in 1986, where he developed Virus Utilities, Austria’s best-selling software product. He has been recognized as a Top-5 Software Entrepreneur in Austria and has served as a personal adviser to the Austrian Finance Minister on innovation policy. His work has garnered global attention, featuring in major outlets like the New York Times, BBC, and The Economist. Viktor is also a frequent public speaker and an advisor to governments, corporations, and NGOs on issues related to the information economy.

In the episode, Richie and Viktor explore the definition of guardrails, characteristics of good guardrails, guardrails in business contexts, life-or-death decision-making, principles of effective guardrails, decision-making and cognitive bias, uncertainty in decision-making, designing guardrails, AI and the implementation of guardrails, and much more.

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#236 Optimizing Sales Using AI with Ellie Fields, CPEO at Salesloft

19 augusti 2024 | 42 min

#235 Developing Generative AI Applications with Dmitry Shapiro, CEO of MindStudio

15 augusti 2024 | 45 min

#234 High Performance Generative AI Applications with Ram Sriharsha, CTO at Pinecone

12 augusti 2024 | 43 min

#233 Generative AI at EY with John Thompson, Head of AI at EY

8 augusti 2024 | 39 min

#232 How are Businesses Really Using AI? With Tathagat Varma, Global TechOps Leader at Walmart Global Tech

5 augusti 2024 | 60 min

There’s been a lot of pressure to add AI to almost every digital tool and service recently, and two years into the AI hype cycle, we’re seeing two types of problems. The first is organizations that haven’t done much yet with AI because they don’t know where to start. The second is organizations that rushed into AI and failed because they didn’t know what they were doing. Both are symptoms of the same problem: not having an AI strategy and not understanding how to tactically implement AI. There’s a lot to consider around choosing the right project and putting processes and skilled talent in place, not to mention worrying about costs and return on investment.

Tathagat Varma is the Global TechOps Leader at Walmart Global Tech. Tathagat is responsible for leading strategic business initiatives, enterprise agile transformation, technical learning and enablement, strategic technical initiatives, startup ecosystem engagement, and internal events across Walmart Global Tech. He also provides support to horizontal technical and internal innovation programs in the company. Starting as a Computer Scientist with DRDO, and with an overall experience of 27 years, Tathagat has played significant technical and leadership roles in establishing and growing organizations like NerdWallet, ChinaSoft International, McAfee, Huawei, Network General, NetScout System, [24]7 Innovations Labs and Yahoo!, and played key engineering roles at Siemens and Philips.

In the episode, Richie and Tathagat explore failures in AI adoption, the role of leadership in AI adoption, AI strategy and business objective alignment, investment and timeline for AI projects, identifying starter AI projects, skills for AI success, building a culture of AI adoption, the potential of AI and much more.

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#231 Manage Your Data Better with Shinji Kim, CEO at Select Star

1 augusti 2024 | 45 min

One of the most annoying conversations about data that happens far too often is: “Can you do an analysis and answer this business problem for me?” “Sure, where’s the data?” “I don’t know. Probably in one of our databases.” At this point more time is spent hunting for data than actually analyzing it. Rather than grumbling about it, it would obviously be more productive to learn how to solve data discoverability issues. What’s the best way to properly document data sets? How can you avoid spending all your time maintaining dashboards that no one actually uses?

Shinji Kim is the Founder & CEO of Select Star, an automated data discovery platform that helps you understand your data. Previously, she was the CEO of Concord Systems (concord.io), a NYC-based data infrastructure startup acquired by Akamai Technologies in 2016. She led building Akamai’s new IoT data platform for real-time messaging, log processing, and edge computing. Prior to Concord, Shinji was the first Product Manager hired at Yieldmo, where she led the Ad Format Lab, A/B testing, and yield optimization. Before Yieldmo, she was analyzing data and building enterprise applications at Deloitte Consulting, Facebook, Sun Microsystems, and Barclays Capital. Shinji studied Software Engineering at University of Waterloo and General Management at Stanford GSB. She advises early stage startups on product strategy, customer development, and company building.

In the episode, Richie and Shinji explore the importance of data governance, the utilization of data, data quality, challenges in data usage, why documentation matters, metadata and data lineage, improving collaboration between data and business teams, data governance trends to look forward to, and much more.

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#230 Scaling Experimentation at American Express with Amit Mondal, VP & Head of Digital Analytics & Experimentation at American Express

29 juli 2024 | 40 min

#229 Inside Meta's Biggest and Best Open-Source AI Model Yet with Thomas Scialom, Co-Creator of Llama3

25 juli 2024 | 39 min

#228 Are Spreadsheets Still Relevant For Data Analysis? with Jordan Goldmeier, Author of Data Smart

22 juli 2024 | 35 min

#227 DataFramed x Analytics On Fire: Riding the AI Hype Cycle with Mico Yuk, Co-Founder at Data Storytelling Academy

18 juli 2024 | 57 min

#226 Creating Custom LLMs with Vincent Granville, Founder, CEO & Chief Al Scientist at GenAltechLab.com

15 juli 2024 | 52 min

#225 The Full Stack Data Scientist with Savin Goyal, Co-Founder & CTO at Outerbounds

11 juli 2024 | 48 min

#224 What History Tells Us About the Future of AI with Verity Harding, Author of AI Needs You

8 juli 2024 | 39 min

#223 [Radar Recap] Charting the Path: What the Future Holds for Generative AI

4 juli 2024 | 38 min

#222 [Radar Recap] Scaling Data Quality in the Age of Generative AI

3 juli 2024 | 41 min

#221 [Radar Recap] The Future of Programming: Accelerating Coding Workflows with LLMs

2 juli 2024 | 45 min

#220 [Radar Recap] Building Tomorrow's Workforce, Today: Scaling Internal AI Academies

1 juli 2024 | 37 min

#219 Building a Data Platform that Drives Value with Shuang Li, Group Product Manager at Box

27 juni 2024 | 41 min

#218 Designing AI Applications with Robb Wilson, Co-Founder & CEO at Onereach.ai

24 juni 2024 | 46 min

All the hype around generative AI means that every software maker seems to be stuffing chat interfaces into their products whenever they can. For the most part, the jury is still out on whether this is a good idea or not. However, design goes deeper than just the user interface, so it’s also useful to know about how the designs interact with the rest of the software. Once you move beyond chatbots into things like agents, there are also thorny questions around which bits of your workflow should still be done by a human, and which bits can be completely automated. True insight in this context lies in a gray area, across software, UX and AI.

Robb is an AI researcher, technologist, designer, innovator, serial entrepreneur, and author. He is a contributor to Harvard Business Review and the visionary behind, OneReach.ai, the award winning conversational artificial intelligence platform that ranked highest in Gartner's Critical Capabilities Report for Enterprise Conversational AI Platforms. He earned an Academy Award nomination for technical achievement as well as over 130 innovation, design, technology, and artificial intelligence awards, with five in 2019 including AI Company of the Year and Hot AI Technology of the Year. Robb is a pioneer in the user research and technology spaces. He founded EffectiveUI, a user experience and technology research consultancy for the Fortune 500, which was acquired by WPP and integrated into the core of Ogilvy’s digital experience practice. He also created UX Magazine, one of the first and largest XD (experience design) thought leadership communities.

In the episode, Richie and Robb explore chat interfaces in software, the advantages of chat interfaces over other methods of interaction with data & AI products, geospatial vs language memory, good vs bad chat interfaces, the importance of a human in the loop, personality in chatbots, handling hallucinations and bad responses, scaling chatbots, agents vs chatbots, ethical considerations for AI and chatbots and much more.

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#217 Data & AI at Tesco with Venkat Raghavan, Director of Analytics and Science at Tesco

20 juni 2024 | 43 min

Loyalty schemes are a hallmark of established retailers—not only do they build consumer trust, they are intelligent and constantly evolving, and Tesco’s Clubcard is the UK’s favorite retail loyalty program. The effects of these discounts are far-reaching, especially for families who rely on getting the best deals to make the most of their money. As Tesco’s tagline goes, every little helps. In turn, the identification and specific details of discounted products can have a profound impact on how consumers view the largest supermarket retailer in the United Kingdom, as well as the operational costs and profits that shareholders are concerned with. How do data and AI inform these offers, what goes into the enterprise-scale analytics that keeps Tesco’s Clubcard the UK’s favorite?

Venkat Raghavan is Director of Analytics and Science at Tesco. Venkat’s area of expertise is customer analytics, having been very heavily involved with the Tesco Clubcard loyalty program. Venkat also set up an analytics center of excellence to help break down data silos between teams. Previously, he was a Director of Analytics at Boston Consulting Group and Senior Director for Advanced Analytics & AI for Manthan and a Cross Industry Delivery Leader at Mu Sigma.

In the episode, Richie and Venkat explore Tesco’s use of data, the introduction of the clubcard scheme, Tesco’s data-driven innovations in online food retail, understanding customer behavior through loyalty programs and in-app interactions, improving customer experience at Tesco, operating a cohesive data intelligence platform that leverages multiple data sources, communication between data and business teams, pricing and cost management, the challenges of data science at scale, the future of data and much more.

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#216 Perplexity & the Future of AI with Denis Yarats, Co-Founder and CTO at Perplexity AI

17 juni 2024 | 36 min

#215 Seeing the Data Layer Through Spatial Computing with Cathy Hackl and Irena Cronin

13 juni 2024 | 52 min

Spatial computing is revolutionizing the way we interact with digital and physical worlds, but its adoption comes with questions about practicality and return on investment. As businesses explore this cutting-edge technology, they must consider how it can enhance productivity and streamline operations. What are the best strategies to integrate spatial computing into your current systems? How can you ensure that it not only boosts efficiency but also delivers measurable benefits to your bottom line?

Cathy Hackl is a web3 and metaverse strategist, tech futurist, speaker and author. She's worked with metaverse-related companies such as HTC VIVE, Magic Leap, and AWS, and currently consults with some of the world's leading brands, including P&G, Clinique, Ralph Lauren, Orlando Economic Partnership and more. Hackl is one of the world's first Chief Metaverse Officers and the co-founder of Journey, where she works with luxury, fashion, and beauty brands to create successful metaverse and web3 strategies and helps them build worlds in platforms like Roblox, Fortnite, Decentraland, The Sandbox, and beyond. She is widely regarded as one of the leading thinkers on the Metaverse.

Irena Cronin is SVP of Product for DADOS Technology, which is making an Apple Vision Pro data analytics and visualization app. She is also the CEO of Infinite Retina, which helps companies develop and implement AI, AR, and other new technologies for their businesses. Before this, she worked as an equity research analyst and gained extensive experience in evaluating both public and private companies.

In the episode, Richie, Cathy and Irina explore spatial computing, the current viability of spacial computing and it's prominence alongside the release of Apple's Vision Pro, expected effects of spatial computing on gaming and entertainment, industrial applications as well as data visualization and AI integration opportunities of spatial computing, how businesses can leverage spatial computing, future developments in the space and much more.

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#214 Learning & Memory, For Brains & AI, with Kim Stachenfeld, Senior Research Scientist at Google DeepMind

10 juni 2024 | 44 min

Memory, the foundation of human intelligence, is still one of the most complex and mysterious aspects of the brain. Despite decades of research, we've only scratched the surface of understanding how our memories are formed, stored, and retrieved. But what if AI could help us crack the code on memory? How might AI be the key to unlocking problems that have evaded human cognition for so long?

Kim Stachenfeld is a Senior Research Scientist at Google DeepMind in NYC and Affiliate Faculty at the Center for Theoretical Neuroscience at Columbia University. Her research covers topics in Neuroscience and AI. On the Neuroscience side, she study how animals build and use models of their world that support memory and prediction. On the Machine Learning side, she works on implementing these cognitive functions in deep learning models. Kim’s work has been featured in The Atlantic, Quanta Magazine, Nautilus, and MIT Technology Review. In 2019, she was named one of MIT Tech Review’s Innovators under 35 for her work on predictive representations in hippocampus.

In the episode, Richie and Kim explore her work on Google Gemini, the importance of customizability in AI models, the need for flexibility and adaptability in AI models, retrieval databases and how they improve AI response accuracy, AI-driven science, the importance of augmenting human capabilities with AI and the challenges associated with this goal, the intersection of AI, neuroscience and memory and much more.

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#213 Building Trust Through Data with Prukalpa Sankar, Co-Founder of Atlan

6 juni 2024 | 49 min

In the fast-paced work environments we are used to, the ability to quickly find and understand data is essential. Data professionals can often spend more time searching for data than analyzing it, which can hinder business progress. Innovations like data catalogs and automated lineage systems are transforming data management, making it easier to ensure data quality, trust, and compliance. By creating a strong metadata foundation and integrating these tools into existing workflows, organizations can enhance decision-making and operational efficiency. But how did this all come to be, who is driving better access and collaboration through data?

Prukalpa Sankar is the Co-founder of Atlan. Atlan is a modern data collaboration workspace (like GitHub for engineering or Figma for design). By acting as a virtual hub for data assets ranging from tables and dashboards to models & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Slack, BI tools, data science tools and more. A pioneer in the space, Atlan was recognized by Gartner as a Cool Vendor in DataOps, as one of the top 3 companies globally. Prukalpa previously co-founded SocialCops, world leading data for good company (New York Times Global Visionary, World Economic Forum Tech Pioneer). SocialCops is behind landmark data projects including India’s National Data Platform and SDGs global monitoring in collaboration with the United Nations. She was awarded Economic Times Emerging Entrepreneur for the Year, Forbes 30u30, Fortune 40u40, Top 10 CNBC Young Business Women 2016, and a TED Speaker.

In the episode, Richie and Prukalpa explore challenges within data discoverability, the inception of Atlan, the importance of a data catalog, personalization in data catalogs, data lineage, building data lineage, implementing data governance, human collaboration in data governance, skills for effective data governance, product design for diverse audiences, regulatory compliance, the future of data management and much more.

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#212 The History of Data and AI, and Where It's Headed with Cristina Alaimo, Assistant Professor at Luiss Guido Carli University

3 juni 2024 | 49 min

#211 What is AIOps? With Assaf Resnick, Co-Founder & CEO of BigPanda

30 maj 2024 | 34 min

#210 Trust and Regulation in AI with Bruce Schneier, Internationally Renowned Security Technologist

27 maj 2024 | 41 min

Trust is the foundation of any relationship, whether it's between friends or in business. But what happens when the entity you're asked to trust isn't human, but AI? How do you ensure that the AI systems you're developing are not only effective but also trustworthy? In a world where AI is increasingly making decisions that impact our lives, how can we distinguish between systems that genuinely serve our interests and those that might exploit our data?

Bruce Schneier is an internationally renowned security technologist, called a “security guru” by The Economist. He is the author of over one dozen books—including his latest, A Hacker’s Mind—as well as hundreds of articles, essays, and academic papers. His influential newsletter “Crypto-Gram” and his blog “Schneier on Security” are read by over 250,000 people. He has testified before Congress, is a frequent guest on television and radio, has served on several government committees, and is regularly quoted in the press. Schneier is a fellow at the Berkman Klein Center for Internet & Society at Harvard University; a Lecturer in Public Policy at the Harvard Kennedy School; a board member of the Electronic Frontier Foundation and AccessNow; and an Advisory Board Member of the Electronic Privacy Information Center and VerifiedVoting.org. He is the Chief of Security Architecture at Inrupt, Inc.

In the episode, Richie and Bruce explore the definition of trust, the difference between trust and trustworthiness, how AI mimics social trust, AI and deception, the need for public non-profit AI to counterbalance corporate AI, monopolies in tech, understanding the application and potential consequences of AI misuse, AI regulation, the positive potential of AI, why AI is a political issue and much more.

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#209 Effective Data Engineering with Liya Aizenberg, Director of Data Engineering at Away

23 maj 2024 | 26 min

Building a successful data engineering team involves more than just hiring skilled individuals—it requires fostering a culture of trust, collaboration, and continuous learning. But how do you start from scratch and create a team that not only meets technical demands but also drives business value? What key traits should you look for in your early hires, and how do you ensure your team’s projects align with the company’s goals?

Liya Aizenberg is Director of Data Engineering at Away and a seasoned data leader with over 22 years of experience spearheading innovation in scalable data engineering pipelines and distribution solutions. She has built successful data teams that integrate seamlessly with various business functions, serving as invaluable organizational partners. She focuses on promoting data-driven approaches to empower organizations to make proactive decisions based on timely and organized data, shifting from reactive to proactive business strategies. Additionally, as a passionate advocate for Women in Tech, she actively contributes to fostering diversity and inclusion in the technology industry.

In the episode, Adel and Liya explore the key attributes that forge an effective data engineering team, traits to look for in new hires, what technical skill sets set people up for success in a data engineering team, leveraging knowledge transfer between external experts and internal stakeholders, upskilling and career growth, aligning data engineering initiatives with business goals, measuring the ROI of data projects, working agile in data engineering, balancing innovation and practicality, future trends and much more.

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#208 Monetizing Data & AI with Vin Vashishta, Founder & AI Advisor at V Squared, & Tiffany Perkins-Munn, MD & Head of Data & Analytics at JPMC

20 maj 2024 | 61 min

Everything in the world has a price, including improving and scaling your data and AI functions. That means that at some point someone will question the ROI of your projects, and often, these projects will be looked at under the lens of monetization. But how do you ensure that what you’re working on is not only providing value to the business but also creating financial gain? What conditions need to be met to prove your project's success and turn value into cash?

Vin Vashishta is the author of ‘From Data to Profit’ (Wiley), the playbook for monetizing data and AI. He built V-Squared from client 1 to one of the oldest data and AI consulting firms. For the last eight years, he has been recognized as a data and AI thought leader. Vin is a LinkedIn Top Voice and Gartner Ambassador. His background spans over 25 years in strategy, leadership, software engineering, and applied machine learning.

Dr. Tiffany Perkins-Munn is on a mission to bring research, analytics, and data science to life. She earned her Ph.D. in Social-Personality Psychology with an interdisciplinary focus on Advanced Quantitative Methods. Her insights are the subject of countless lectures on psychology, statistics, and their real-world applications.

As the Head of Data and Analytics for the innovative CDAO organization at J.P. Morgan Chase, her knack involves unraveling complex business problems through operational enhancements, augmented financials, and intuitive recruiting. After over two decades in the industry, she consistently forges robust relationships across the corporate spectrum, becoming one of the Top 10 Finalists in the Merrill Lynch Global Markets Innovation Program.

In the episode, Richie, Vin, and Tiffany explore the challenges of monetizing data and AI projects, including how technical, organizational, and strategic factors affect your input, the importance of aligning technical and business objectives to keep outputs focused on core business goals, how to assess your organization's data and AI maturity, examples of high data maturity businesses, data security and compliance, quick wins in data transformation and infrastructure, why long-term vision and strategy matter, and much more.

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#207 Data Driven Venture Capital with Andre Retterath, Partner at Earlybird VC

16 maj 2024 | 52 min

#206 The Venture Mindset with Ilya Strebulaev, Economist & Professor at Stanford Graduate School of Business

13 maj 2024 | 60 min

#205 The 2nd Wave of Generative AI with Sailesh Ramakrishnan & Madhu Iyer, Managing Partners at Rocketship.vc

9 maj 2024 | 51 min

Speedily adopting new technologies can give your business a competitive advantage, but with so much happening in the world of generative AI, it's difficult to know what to adopt. In this episode, Richie chats to two venture capitalists to get their view on the global AI landscape, where we are in the AI hype cycle, and how to adopt AI tech. Beyond this, we explore Rocketship.vc's use of data and algorithms to make investment decisions in early-stage startups. If our previous episode’s deep dive into 2024’s data & AI trends with VC Tom Tunguz got you excited about how investors are looking at the market at the moment, then this episode is sure to do the same. This time, we have twice the insight, thanks to our two guests.

Madhu Shalini Iyer is a Managing Partner at Rocketship.vc, a Silicon Valley based fund investing globally. She was the Chief Data Officer of Gojek and helped grow the business into a $10 billion unicorn. In addition to being a board member, she started the Singapore office and played an active role in the strategy, new business development, and ‘data as a competitive advantage’. Prior to Gojek, Madhu was part of the founding team of Intuit’s Quickbooks Lending Platform. As the data science leader at Intuit, Madhu helped grow the platform to $300 million and holds 2 patents in the areas of user data augmented algorithms for financial inclusion. Madhu was also the Chief Data Officer for Ethoslending. There she built the underwriting platform and was responsible for all b2c revenue, resulting in $65 million gross market value per month. Madhu was further responsible for building and running the marketing team. Prior, Madhu was a partner at a $150m private equity fund, Stem Financial, in Hong Kong. She started her career as a senior data scientist with a leading think tank in Menlo Park, CA.

Sailesh Ramakrishnan is also a Managing Partner at Rocketship.vc. Prior to Rocketship.vc, Sailesh was CTO and co-founder of LocBox (acquired by Square), a startup focussed on marketing for local businesses. Sailesh worked with Anand and Venky at their previous startup Kosmix, and continued on to Walmart as a Director of Engineering at @WalmartLabs. Before jumping into the startup world, Sailesh worked as a Computer Scientist at NASA Ames Research Center. Sailesh earned his Bachelors degree in Civil Engineering from IIT Madras, his Masters degree in Construction Management from Virginia Tech and another Master degree in Intelligent Systems from University of Pittsburgh. He was a Ph.D. candidate in Artificial Intelligence at the University of Michigan.

In the episode, Richie, Madhu and Sailesh explore the generative AI revolution, categorizing generative AI tools, the impact of genAI across industries, investment philosophy and data-driven decision-making, the challenges and opportunities when investing in AI, future trends and predictions, regulatory and ethical considerations of AI, and much more.

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#204 Data & AI Trends in 2024, with Tom Tunguz, General Partner at Theory Ventures

6 maj 2024 | 38 min

#203 How a Chief AI Officer Works with Philipp Herzig, Chief AI Officer at SAP

2 maj 2024 | 33 min

#202 Making Data Governance Fun with Tiankai Feng, Data Strategy & Data Governance Lead at ThoughtWorks

29 april 2024 | 40 min

#201 The Database is the Operating System with Mike Stonebraker, CTO & Co-Founder At DBOS

25 april 2024 | 39 min

Databases are ubiquitous, and you don’t need to be a data practitioner to know that all data everywhere is stored in a database—or is it? While the majority of data around the world lives in a database, the data that helps run the heart of our operating systems—the core functions of our computers— is not stored in the same place as everywhere else. This is due to database storage sitting ‘above’ the operating system, requiring the OS to run before the databases can be used. But what if the OS was built ‘on top’ of a database? What difference could this fundamental change make to how we use computers?

Mike Stonebraker is a distinguished computer scientist known for his foundational work in database systems, he is also currently CTO & Co-Founder At DBOS. His extensive career includes significant contributions through academic prototypes and commercial startups, leading to the creation of several pivotal relational database companies such as Ingres Corporation, Illustra, Paradigm4, StreamBase Systems, Tamr, Vertica, and VoltDB. Stonebraker's role as chief technical officer at Informix and his influential research earned him the prestigious 2014 Turing Award.

Stonebraker's professional journey spans two major phases: initially at the University of California, Berkeley, focusing on relational database management systems like Ingres and Postgres, and later, from 2001 at the Massachusetts Institute of Technology (MIT), where he pioneered advanced data management techniques including C-Store, H-Store, SciDB, and DBOS. He remains a professor emeritus at UC Berkeley and continues to influence as an adjunct professor at MIT’s Computer Science and Artificial Intelligence Laboratory. Stonebraker is also recognized for his editorial work on the book "Readings in Database Systems."

In the episode, Richie and Mike explore the the success of PostgreSQL, the evolution of SQL databases, the shift towards cloud computing and what that means in practice when migrating to the cloud, the impact of disaggregated storage, software and serverless trends, the role of databases in facilitating new data and AI trends, DBOS and it’s advantages for security, and much more.

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#200 50 Years of SQL with Don Chamberlin, Computer Scientist and Co-Inventor of SQL

22 april 2024 | 36 min

Over the past 199 episodes of DataFramed, we’ve heard from people at the forefront of data and AI, and over the past year we’ve constantly looked ahead to the future AI might bring. But all of the technologies and ways of working we’ve witnessed have been built on foundations that were laid decades ago. For our 200th episode, we’re bringing you a special guest and taking a walk down memory lane—to the creation and development of one of the most popular programming languages in the world.

Don Chamberlin is renowned as the co-inventor of SQL (Structured Query Language), the predominant database language globally, which he developed with Raymond Boyce in the mid-1970s. Chamberlin's professional career began at IBM Research in Yorktown Heights, New York, following a summer internship there during his academic years. His work on IBM's System R project led to the first SQL implementation and significantly advanced IBM’s relational database technology. His contributions were recognized when he was made an IBM Fellow in 2003 and later a Fellow of the Computer History Museum in 2009 for his pioneering work on SQL and database architectures. Chamberlin also contributed to the development of XQuery, an XML query language, as part of the W3C, which became a W3C Recommendation in January 2007. Additionally, he holds fellowships with ACM and IEEE and is a member of the National Academy of Engineering.

In the episode, Richie and Don explore his early career at IBM and the development of his interest in databases alongside Ray Boyce, the database task group (DBTG), the transition to relational databases and the early development of SQL, the commercialization and adoption of SQL, how it became standardized, how it evolved and spread via open source, the future of SQL through NoSQL and SQL++ and much more.

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#199 Creating an AI-First Culture with Sanjay Srivastava, Chief Digital Strategist at Genpact

18 april 2024 | 37 min

Last year saw the proliferation of countless AI tools and initiatives, many companies looked to find ways where AI could be leveraged to reduce operational costs and pressure wherever possible. 2023 was a year of experimentation for anyone trying to harness AI, but we can’t walk forever. To keep up with the rapidly changing landscape in business, last year’s experiments with AI need to find their feet and allow us to run. But how do we know which initiatives are worth fully investing in? Will your company culture impede the change management that is necessary to fully adopt AI?

Sanjay Srivastava is the Chief Digital Strategist at Genpact. He works exclusively with Genpact’s senior client executives and ecosystem technology leaders to mobilize digital transformation at the intersection of cutting-edge technology, data strategy, operating models, and process design. In his previous role as Chief Digital Officer at Genpact, Sanjay built out the company’s offerings in artificial intelligence, data and analytics, automation, and digital technology services. He leads Genpact’s artificial-intelligence-enabled platform that delivers industry-leading governance, integration, and orchestration capabilities across digital transformations. Before joining Genpact, Sanjay was a Silicon Valley serial entrepreneur and built four high-tech startups, each of which was successfully acquired by Akamai, BMC, FIS, and Genpact, respectively. Sanjay also held operating leadership roles at Hewlett Packard, Akamai, and SunGard (now FIS), where he oversaw product management, global sales, engineering, and services businesses.

In the episode, Sanjay and Richie cover the shift from experimentation to production seen in the AI space over the past 12 months, the importance of corporate culture in the adoption of AI in a business environment, how AI automation is revolutionizing business processes at GENPACT, how change management contributes to how we leverage AI tools at work, adapting skill development pathways to make the most out of AI, how AI implementation changes depending on the size of your organization, future opportunities for AI to change industries and much more.

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#198 How Walmart Leverages Data & AI with Swati Kirti, Sr Director of Data Science at Walmart

16 april 2024 | 31 min

#197 The Future of Programming with Kyle Daigle, COO at GitHub

11 april 2024 | 49 min

#196 The Art of Prompt Engineering with Alex Banks, Founder and Educator, Sunday Signal

8 april 2024 | 44 min

#195 [Radar Recap] The Art of Data Storytelling: Driving Impact with Analytics with Brent Dykes, Lea Pica and Andy Cotgreave

5 april 2024 | 41 min

#194 [Radar Recap] Scaling Data ROI: Driving Analytics Adoption Within Your Organization with Laura Gent Felker, Omar Khawaja and Tiffany Perkins-Munn

4 april 2024 | 41 min

#193 [Radar Recap] From Data Governance to Data Discoverability: Building Trust in Data Within Your Organization with Esther Munyi, Amy Grace, Stefaan Verhulst and Malarvizhi Veerappan

3 april 2024 | 40 min

#192 [Radar Recap] Building a Learning Culture for Analytics Functions, with Russell Johnson, Denisse Groenendaal-Lopez and Mark Stern

2 april 2024 | 42 min

#191 How Generative AI is Changing Business and Society with Bernard Marr, AI Advisor, Best-Selling Author, and Futurist

25 mars 2024 | 48 min

Everyone has seen the reach and impact of generative AI, and with countless use-cases across a variety of fields, the question is often not "can we do things with AI?", but rather "what should we do with AI?". What are the key areas where generative AI has had a profound impact already? Which economies, industries, and businesses have taken full advantage of the abilities of GenAI already? It takes a lot of wisdom and experience within the data & AI space to distill high-level insights from such a rapidly changing world, but, luckily we have one of the best people in the world to quiz on the current landscape and future of AI.

Bernard Marr is an internationally best-selling business author, keynote speaker and strategic advisor to companies and governments. He advises many of the world’s best-known organizations such as Amazon, Google, Microsoft, IBM, Toyota, and more.

LinkedIn has recently ranked Bernard as one of the top 5 business influencers in the world. He has authored 19 best-selling books, including his new book Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society. Every day Bernard actively engages his over 4 million social media followers. He is one of the world’s most highly respected experts when it comes to future trends, strategy, business performance, digital transformation and the intelligent use of data and AI in business.

In the episode, Richie and Bernard explore how AI will impact society through the augmentation of jobs, the importance of developing skills that won’t be easily replaced by AI, how generative AI is revolutionizing creative fields already, how AI will impact education, AI’s role in coding and software development, use cases of generative AI in business, how personalization is set to improve through AI, concerns and ethical considerations surrounding AI, why we should be optimistic about the future of AI, and much more.

Links Mentioned in the Show:

Bernard’s book: Generative AI in Practice
Bernard’s Website, Twitter and Linkedin
[Skill Track] AI Business Fundamentals
Related Episode: Adapting to the AI Era with Jason Feifer, Editor in Chief of Entrepreneur Magazine

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#190 How Data Leaders Can Make Data Governance a Priority with Saurabh Gupta, Chief Strategy & Revenue Officer at The Modern Data Company

22 mars 2024 | 41 min

There is a concept in software engineering which is called ‘shifting left’, this focuses on testing software a lot earlier in the development lifecycle than you would normally expect it to. This helps teams building the software create better rituals and processes, while also ensuring quality and usability are key aspects to evaluate as the software is being built. We know this works in software development, but what happens when these practices are used when building AI tools?

Saurabh Gupta is a seasoned technology executive and is currently Chief Strategy & Revenue Officer The Modern Data Company. With over 25 years of experience in tech, data and strategy, he has led many strategy and modernization initiatives across industries and disciplines. Through his career, he has worked with various Internation Organizations and NGOs, Public sector and Private sector organizations. Before joining TMDC, he was the Head of Data Strategy & Governance at ThoughtWorks & CDO/Director for Washington DC Gov., where he developed the digital/data modernization strategy for education data. Prior to DCGov he played leadership and strategic roles at organizations including IMF and World Bank where he was responsible for their Data strategy and led the OpenData initiatives. He has also closely worked with African Development Bank, OECD, EuroStat, ECB, UN and FAO as a part of inter-organization working groups on data and development goals. As a part of the taskforce for international data cooperation under the G20 Data Gaps initiative, he chaired the technical working group on data standards and exchange. He also played an advisor role to the African Development Bank on their data democratization efforts under the Africa Information Highway.

In the episode, Adel & Saurabh explore the importance of data quality and how ‘shifting left’ can improve data quality practices, the role of data governance, the emergence of data product managers, operationalizing ‘shift left’ strategies through collaboration and data governance, the challenges faced when implementing data governance, future trends in data quality and governance, and much more.

Links Mentioned in the Show:

The Modern Data Company
Monte Carlo: The Annual State of Data Quality Survey
[Course] Data Governance Concepts
[Webinar] Crafting a Lean and Effective Data Governance Strategy
Related Episode: Building Trust in Data with Data Governance

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#189 From BI to AI with Nick Magnuson, Head of AI at Qlik

20 mars 2024 | 44 min

Generative AI has made a mark everywhere, including BI platforms, but how can you combine AI and BI together? What effects can this have across organizations? With constituent aspects such as data quality, your AI strategy, and the specific use-case you’re trying to solve, it’s important to get the full picture and tread with intent. What are the subtleties that we need to get right in order for this marriage to work to its full potential?

Nick Magnuson is the Head of AI at Qlik, executing the organization’s AI strategy, solution development, and innovation. Prior to Qlik, Nick was the CEO of Big Squid, which was acquired by Qlik in 2021. Nick has previously held executive roles in customer success, product, and engineering in the field of machine learning and predictive analytics. As a practitioner in this field for over 20 years, Nick has published original research in these areas, as well as cognitive bias and other quantitative topics. He has also served as an advisor to other analytics platforms and start-ups. A long-time investment professional, Nick continues to hold his Chartered Financial Analyst designation and is a past member of the Chicago Quantitative Alliance and Society of Quantitative Analysts.

In the episode, Richie and Nick explore what Qlik offers, including products like Sense and Staige, how Staige uses AI to enhance customer capabilities, use cases of generative AI, advice on data privacy and security when using AI, data quality and its effect on the success of AI tools, AI strategy and leadership, how data roles are changing and the emergence of new positions, and much more.

Links Mentioned in the Show:

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Qlik Staige
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[Skill Track] AI Fundamentals
Related Episode: Adapting to the AI Era with Jason Feifer, Editor in Chief of Entrepreneur Magazine
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#188 Scaling Enterprise Analytics with Libby Duane Adams, Chief Advocacy Officer and Co-Founder of Alteryx

18 mars 2024 | 43 min

#187 The Power of Vector Databases and Semantic Search with Elan Dekel, VP of Product at Pinecone

11 mars 2024 | 37 min

#186 How the UN is Driving Global AI Governance with Ian Bremmer and Jimena Viveros, Members of the UN AI Advisory Board

4 mars 2024 | 41 min

One of the most immediate needs to come out of the generative AI boom has been the need for guardrails and governmental regulation of AI technologies. Most of the work already completed in the AI space has been industry-led, with large organizations pushing AI forward to improve their efficiency as businesses and to create new avenues for revenue. This focus on industry and revenue can potentially create more inequality in the world, with companies not interested in the negative effects of AI being driven by profit, towards profit. To combat this, the UN has set up an AI Advisory Board, with members from different nationalities, backgrounds and expertises to ensure that AI is for all, and not just for profit. In this episode, we speak to two members of the board.

Ian Bremmer is a political scientist who helps business leaders, policy makers, and the general public make sense of the world around them. He is president and founder of Eurasia Group, the world's leading political risk research and consulting firm, and GZERO Media, a company dedicated to providing intelligent and engaging coverage of international affairs.

Ian is credited with bringing the craft of political risk to financial markets, creating Wall Street's first global political risk index (GPRI), and for establishing political risk as an academic discipline. His definition of emerging markets— "those countries where politics matters at least as much as economics for market outcomes”—has become an industry standard. “G-Zero,” his term for a global power vacuum in which no country is willing and able to set the international agenda, is widely used by policymakers and thought leaders.

A prolific writer, Ian is the author of eleven books, including two New York Times bestsellers, “Us vs Them: The Failure of Globalism” which examines the rise of populism across the world, and his latest book “The Power of Crisis: How Three Threats—and Our Response—Will Change the World” which details a trio of looming global crises (health emergencies, climate change, and technological revolution) and outlines how governments, corporations, and concerned citizens can use these crises to create global prosperity and opportunity.

Jimena Viveros currently serves as the Chief of Staff and Head Legal Advisor to Justice Loretta Ortiz at the Mexican Supreme Court. Her prior roles include national leadership positions at the Federal Judicial Council, the Ministry of Security, and the Ministry of Finance, where she held the position of Director General. Jimena is a lawyer and AI expert, and possesses a broad and diverse international background. She is in the final stages of completing her Doctoral thesis, which focuses on the impact of AI and autonomous weapons on international peace and security law and policy, providing concrete propositions to achieve global governance from diverse legal perspectives. Her extensive work in AI and other legal domains has been widely published and recognized.

In the episode, Richie, Ian and Jimena cover what the UN's AI Advisory Body was set up for, the opportunities and risks of AI, how AI impacts global inequality, key principles of AI governance, the implementation of that governance, the future of AI in politics and global society, and much more.

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#185 Becoming Remarkable with Guy Kawasaki, Author and Chief Evangelist at Canva

26 februari 2024 | 56 min

Remarkable people walk among us. Some of us may be remarkable ourselves. But none of us start out remarkable. The journey to becoming a person that makes a difference in the world is never easy, as with any story that includes a hero, there are struggles, tests and moments of self-doubt. Remarkable people overcome these feats, and when they are in a position to, they give back. But what kind of mindset do these people have, how do they make decisions? What keeps them on their path towards becoming remarkable.

Guy Kawasaki is the chief evangelist of Canva and the creator of Guy Kawasaki’s Remarkable People podcast. He is an executive fellow of the Haas School of Business (UC Berkeley), and adjunct professor of the University of New South Wales. He was the chief evangelist of Apple and a trustee of the Wikimedia Foundation. He has written Wise Guy, The Art of the Start 2.0, The Art of Social Media, Enchantment, and eleven other books. Kawasaki has a BA from Stanford University, an MBA from UCLA, and an honorary doctorate from Babson College.

In the episode, Richie and Guy explore the concept of being remarkable, growth, grit and grace, the importance of experiential learning, imposter syndrome, finding your passion, how to network and find remarkable people, dealing with failure, management and encouraging growth, work-life balance, measuring success through benevolent impact and much more.

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[AI and the Modern Data Stack] #184 Accelerating AI Workflows with Nuri Cankaya, VP of AI Marketing & La Tiffaney Santucci, AI Marketing Director at Intel

22 februari 2024 | 52 min

We’ve heard so much about the value and capabilities of generative AI over the past year, and we’ve all become accustomed to the chat interfaces of our preferred models. One of the main concerns many of us have had has been privacy. Is OpenAI keeping the data and information I give to ChatGPT secure? One of the touted solutions to this problem is running LLMs locally on your own machine, but with the hardware cost that comes with it, running LLMs locally has not been possible for many of us. That might now be starting to change.

Nuri Canyaka is VP of AI Marketing at Intel. Prior to Intel, Nuri spent 16 years at Microsoft, starting out as a Technical Evangelist, and leaving the organization as the Senior Director of Product Marketing. He ran the GTM team that helped generate adoption of GPT in Microsoft Azure products.

La Tiffaney Santucci is Intel’s AI Marketing Director, specializing in their Edge and Client products. La Tiffaney has spent over a decade at Intel, focussing on partnerships with Dell, Google Amazon and Microsoft.

In the episode, Richie, Nuri and La Tiffaney explore AI’s impact on marketing analytics, the adoptions of AI in the enterprise, how AI is being integrated into existing products, the workflow for implementing AI into business processes and the challenges that come with it, the importance of edge AI for instant decision-making in uses-cases like self-driving cars, the emergence of AI engineering as a distinct field of work, the democratization of AI, what the state of AGI might look like in the near future and much more.

About the AI and the Modern Data Stack DataFramed Series

This week we’re releasing 4 episodes focused on how AI is changing the modern data stack and the analytics profession at large. The modern data stack is often an ambiguous and all-encompassing term, so we intentionally wanted to cover the impact of AI on the modern data stack from different angles. Here’s what you can expect:

Why the Future of AI in Data will be Weird with Benn Stancil, CTO at Mode & Field CTO at ThoughtSpot — Covering how AI will change analytics workflows and tools
How Databricks is Transforming Data Warehousing and AI with Ari Kaplan, Head Evangelist & Robin Sutara, Field CTO at Databricks — Covering Databricks, data intelligence and how AI tools are changing data democratization
Adding AI to the Data Warehouse with Sridhar Ramaswamy, CEO at Snowflake — Covering Snowflake and its uses, how generative AI is changing the attitudes of leaders towards data, and how to improve your data management
Accelerating AI Workflows with Nuri Cankaya, VP of AI Marketing & La Tiffaney Santucci, AI Marketing Director at Intel — Covering AI’s impact on marketing analytics, how AI is being integrated into existing products, and the democratization of AI

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[AI and the Modern Data Stack] #183 Adding AI to the Data Warehouse with Sridhar Ramaswamy, CEO at Snowflake

21 februari 2024 | 45 min

Snowflake has been foundational in the data space for years. In the mid-2010s, the platform was a major driver of moving data to the cloud. More recently, it's become apparent that combining data and AI in the cloud is key to accelerating innovation. Snowflake has been rapidly adding AI features to provide value to the modern data stack, but what’s really been going on under the hood?

At the time of recording, Sridhar Ramaswamy was the SVP of AI at Snowflake, being appointed CEO at Snowflake in February 2024. Sridhar was formerly Co-Founder of Neeva, acquired in 2023 by Snowflake. Before founding Neeva, Ramaswamy oversaw Google's advertising products, including search, display, video advertising, analytics, shopping, payments, and travel. He joined Google in 2003 and was part of the growth of AdWords and Google's overall advertising business. He spent more than 15 years at Google, where he started as a software engineer and rose to SVP of Ads & Commerce.

In the episode, Richie and Sridhar explore Snowflake and its uses, how generative AI is changing the attitudes of leaders towards data, how NLP and AI have impacted enterprise business operations as well as new applications of AI in an enterprise environment, the challenges of enterprise search, the importance of data quality, management and the role of semantic layers in the effective use of AI, a look into Snowflakes products including Snowpilot and Cortex, the collaboration required for successful data and AI projects, advice for organizations looking to improve their data management and much more.

About the AI and the Modern Data Stack DataFramed Series

This week we’re releasing 4 episodes focused on how AI is changing the modern data stack and the analytics profession at large. The modern data stack is often an ambiguous and all-encompassing term, so we intentionally wanted to cover the impact of AI on the modern data stack from different angles. Here’s what you can expect:

Why the Future of AI in Data will be Weird with Benn Stancil, CTO at Mode & Field CTO at ThoughtSpot — Covering how AI will change analytics workflows and tools
How Databricks is Transforming Data Warehousing and AI with Ari Kaplan, Head Evangelist & Robin Sutara, Field CTO at Databricks — Covering Databricks, data intelligence and how AI tools are changing data democratization
Adding AI to the Data Warehouse with Sridhar Ramaswamy, CEO at Snowflake — Covering Snowflake and its uses, how generative AI is changing the attitudes of leaders towards data, and how to improve your data management
Accelerating AI Workflows with Nuri Cankaya, VP of AI Marketing & La Tiffaney Santucci, AI Marketing Director at Intel — Covering AI’s impact on marketing analytics, how AI is being integrated into existing products, and the democratization of AI

Links Mentioned in the Show:

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[AI and the Modern Data Stack] #182 How Databricks is Transforming Data Warehousing and AI with Ari Kaplan, Head Evangelist & Robin Sutara, Field CTO at Databricks

20 februari 2024 | 52 min

Databricks started out as a platform for using Spark, a big data analytics engine, but it's grown a lot since then. Databricks now allows users to leverage their data and AI projects in the same place, ensuring ease of use and consistency across operations. The Databricks platform is converging on the idea of data intelligence, but what does this mean, how will it help data teams and organizations, and where does AI fit in the picture?

Ari is Databricks’ Head of Evangelism and "The Real Moneyball Guy" - the popular movie was partly based on his analytical innovations in Major League Baseball. He is a leading influencer in analytics, artificial intelligence, data science, and high-growth business innovation. Ari was previously the Global AI Evangelist at DataRobot, Nielsen’s regional VP of Analytics, Caltech Alumni of the Decade, President Emeritus of the worldwide Independent Oracle Users Group, on Intel’s AI Board of Advisors, Sports Illustrated Top Ten GM Candidate, an IBM Watson Celebrity Data Scientist, and on the Crain’s Chicago 40 Under 40. He's also written 5 books on analytics, databases, and baseball.

Robin is the Field CTO at Databricks. She has consulted with hundreds of organizations on data strategy, data culture, and building diverse data teams. Robin has had an eclectic career path in technical and business functions with more than two decades in tech companies, including Microsoft and Databricks. She also has achieved multiple academic accomplishments from her juris doctorate to a masters in law to engineering leadership. From her first technical role as an entry-level consumer support engineer to her current role in the C-Suite, Robin supports creating an inclusive workplace and is the current co-chair of Women in Data Safety Committee. She was also recognized in 2023 as a Top 20 Women in Data and Tech, as well as DataIQ 100 Most Influential People in Data.

In the episode, Richie, Ari, and Robin explore Databricks, the application of generative AI in improving services operations and providing data insights, data intelligence, and lakehouse technology, the wide-ranging applications of generative AI, how AI tools are changing data democratization, the challenges of data governance and management and how tools like Databricks can help, how jobs in data and AI are changing and much more.

About the AI and the Modern Data Stack DataFramed Series

This week we’re releasing 4 episodes focused on how AI is changing the modern data stack and the analytics profession at large. The modern data stack is often an ambiguous and all-encompassing term, so we intentionally wanted to cover the impact of AI on the modern data stack from different angles. Here’s what you can expect:

Why the Future of AI in Data will be Weird with Benn Stancil, CTO at Mode & Field CTO at ThoughtSpot — Covering how AI will change analytics workflows and tools
How Databricks is Transforming Data Warehousing and AI with Ari Kaplan, Head Evangelist & Robin Sutara, Field CTO at Databricks — Covering Databricks, data intelligence and how AI tools are changing data democratization
Adding AI to the Data Warehouse with Sridhar Ramaswamy, CEO at Snowflake — Covering Snowflake and its uses, how generative AI is changing the attitudes of leaders towards data, and how to improve your data management
Accelerating AI Workflows with Nuri Cankaya, VP of AI Marketing & La Tiffaney Santucci, AI Marketing Director at Intel — Covering AI’s impact on marketing analytics, how AI is being integrated into existing products, and the democratization of AI

Links Mentioned in the Show:

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[AI and the Modern Data Stack] #181 Why the Future of AI in Data will be Weird with Benn Stancil, CTO at Mode & Field CTO at ThoughtSpot

19 februari 2024 | 41 min

One of the biggest surprises of the generative AI revolution over the past 2 years lies in the counter-intuitiveness of its most successful use cases. Counter to most predictions made about AI years ago, AI-assisted coding, specifically AI-assisted data work, has been surprisingly one of the biggest killer apps of generative AI tools and copilots. However, what happens when we take this notion even further? How will analytics workflows look like when generative AI tools can also assist us in problem-solving? What type of analytics use cases can we expect to operationalize, and what tools can we expect to work with when AI systems can provide scalable qualitative data instead of relying on imperfect quantitative proxies? Today’s guest calls this future “weird”.

Benn Stancil is the Field CTO at ThoughtSpot. He joined ThoughtSpot in 2023 as part of its acquisition of Mode, where he was a Co-Founder and CTO. While at Mode, Benn held roles leading Mode’s data, product, marketing, and executive teams. He regularly writes about data and technology at benn.substack.com. Prior to founding Mode, Benn worked on analytics teams at Microsoft and Yammer.

Throughout the episode, Benn and Adel talk about the nature of AI-assisted analytics workflows, the potential for generative AI in assisting problem-solving, how he imagines analytics workflows to look in the future, and a lot more.

About the AI and the Modern Data Stack DataFramed Series

This week we’re releasing 4 episodes focused on how AI is changing the modern data stack and the analytics profession at large. The modern data stack is often an ambiguous and all-encompassing term, so we intentionally wanted to cover the impact of AI on the modern data stack from different angles. Here’s what you can expect:

Why the Future of AI in Data will be Weird with Benn Stancil, CTO at Mode & Field CTO at ThoughtSpot — Covering how AI will change analytics workflows and tools
How Databricks is Transforming Data Warehousing and AI with Ari Kaplan, Head Evangelist & Robin Sutara, Field CTO at Databricks — Covering Databricks, data intelligence and how AI tools are changing data democratization
Adding AI to the Data Warehouse with Sridhar Ramaswamy, CEO at Snowflake — Covering Snowflake and its uses, how generative AI is changing the attitudes of leaders towards data, and how to improve your data management
Accelerating AI Workflows with Nuri Cankaya, VP of AI Marketing & La Tiffaney Santucci, AI Marketing Director at Intel — Covering AI’s impact on marketing analytics, how AI is being integrated into existing products, and the democratization of AI

Links Mentioned in the Show:

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#180 How AI is Changing Cybersecurity with Brian Murphy, CEO of ReliaQuest

12 februari 2024 | 32 min

Just as many of us have been using generative AI tools to make us more productive at work, so have bad actors. Generative AI makes it much easier to create fake yet convincing text and images that can be used to deceive and harm. We’ve already seen lots of high-profile attempts to leverage AI in phishing campaigns, and this is putting more pressure on cybersecurity teams to get ahead of the curve and combat these new forms of threats. However, AI is also helping those that work in cybersec to be more productive and better equip themselves to create new forms of defense and offense.

Brian Murphy is a founder, CEO, entrepreneur and investor. He founded and leads ReliaQuest, the force multiplier of security operations and one of the largest and fastest-growing companies in the global cybersecurity market. ReliaQuest increases visibility, reduces complexity, and manages risk with its cloud-native security operations platform, GreyMatter. Murphy grew ReliaQuest from a boot-strapped startup to a high-growth unicorn with a valuation of over $1 billion, more than 1,000 team members, and more than $350 million in growth equity with firms such as FTV Capital and KKR Growth.

In the full episode, Adel and Brian cover the evolution of cybersecurity tools, the challenges faced by cybersecurity teams, types of cyber threats, how generative AI can be used both defensively and offensively in cybersecurity, how generative AI tools are making cybersecurity professionals more productive, the evolving role of cybersecurity professionals, the security implications of deploying AI models, the regulatory landscape for AI in cybersecurity and much more.

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#179 Why ML Projects Fail, and How to Ensure Success with Eric Siegel, Founder of Machine Learning Week, Former Columbia Professor, and Bestselling Author

5 februari 2024 | 47 min

We are in a Generative AI hype cycle. Every executive looking at the potential generative AI today is probably thinking about how they can allocate their department's budget to building some AI use cases. However, many of these use cases won't make it into production.

In a similar vein, the hype around machine learning in the early 2010s led to lots of hype around the technology, but a lot of the value did not pan out. Four years ago, VentureBeat showed that 87% of data science projects did not make it into production. And in a lot of ways, things haven’t gotten much better. And if we don't learn why that is the case, generative AI could be destined to a similar fate.

Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series and its new sister, Generative AI World, the instructor of the acclaimed online course “Machine Learning Leadership and Practice – End-to-End Mastery,” executive editor of The Machine Learning Times, and a frequent keynote speaker. He wrote the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, as well as The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. Eric’s interdisciplinary work bridges the stubborn technology/business gap. At Columbia, he won the Distinguished Faculty award when teaching graduate computer science courses in ML and AI. Later, he served as a business school professor at UVA Darden. Eric also publishes op-eds on analytics and social justice.

In the episode, Adel and Eric explore the reasons why machine learning projects don't make it into production, the BizML Framework or how to bring business stakeholders into the room when building machine learning use cases, the skill gap between business stakeholders and data practitioners, use cases of organizations have leveraged machine learning for operational improvements, what the previous machine learning hype cycle can teach us about generative AI and a lot more.

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#178 Making SMARTER Decisions with Lori Silverman, author of Business Storytelling for Dummies

1 februari 2024 | 63 min

We don’t think about every decision we make. Some decisions are easy and intuitive, others can be riddled with doubt. In a business setting, decision-making is often crucial, and with that comes pressure to ensure we’re making the right decisions in the best way possible. We can often accompany decision-making with context, providing a narrative for how we might approach a decision, citing what data and insights have had significant input into our choices. But how do we approach storytelling and decision-making to breed success? There’s probably no better person to guide us through the ins and outs of decision-making than the co-author of Business Storytelling For Dummies.

Lori L. Silverman is the owner of Partners for Progress, a management consulting firm. As a business strategist, she has consulted with organizations in fifteen industries including financial services, insurance, manufacturing and petroleum companies, government entities, and professional associations. As a keynote speaker, Lori has positively impacted the lives of thousands of people. She has appeared on over fifty radio and television shows to speak about using stories in the workplace and is the co-author of Critical SHIFT and Stories Trainers Tell.

She’s a pioneer in the business storytelling field, author of five books, and is known worldwide for her work in collaborative data-informed decision-making.

In the episode, Richie and Lori cover common problems in business decision-making, connecting decision-making to business processes, analytics and decision-making, integrating data practitioners and decision-makers, the role of data visualization and narrative storytelling, the SMARTER decision-making methodology, the importance of intuition, challenges faced when applying decision-making methodologies and much more.

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#177 Avoiding Burnout for Data Professionals with Jen Fisher, Human Sustainability Leader at Deloitte

29 januari 2024 | 44 min

Arianna Huffington, co-founder of The Huffington Post, woke up in a pool of blood nursing a broken cheekbone after collapsing at her desk in 2007. Various stresses and pressures in her life had manifested themself into an episode of extreme mental exhaustion. This event was the catalyst for her to write a book on well-being as well as start the behavioral-change company Thrive Global. Many of us have, or will, experience burnout at some point. The build-up of stress, negative emotions, and internal tension may not result in the same shocking scene Huffington found herself in, but its effects are serious and permeate not just through our profession but into our home life as well. Stress and burnout are especially prevalent in working environments where there is an emphasis on urgency, and with the constant advancements we’ve seen in the data & AI sphere in the past year, leaders and practitioners working in the data space will need to know how to recognize the symptoms of burnout and create workplace cultures that prevent burnout in the first place.

Jen Fisher is Deloitte’s human sustainability leader. Previously, Fisher served as Deloitte’s first-ever chief well-being officer. She’s also a TEDx speaker, coauthor of the book, Work Better Together: How to Cultivate Strong Relationships to Maximize Well-Being and Boost Bottom Lines, editor-at-large for Thrive Global, and host of the “WorkWell” podcast series.

In the episode, Jen and Adel cover Jen’s own personal experience with burnout, the role of a Chief Wellbeing Officer, the impact of work on our overall well-being, the patterns that lead to burnout, defining well-being in the workplace, technology’s impact on our well-being, psychological safety in the workplace, how managers and leaders can looking after themselves and their teams, the future of human sustainability in the workplace and much more.

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#176 Data Trends & Predictions 2024 with DataCamp's CEO & COO, Jo Cornelissen & Martijn Theuwissen

25 januari 2024 | 32 min

#175 Inside Algorithmic Trading with Anthony Markham, Vice President, Quantitative Developer at Deutsche Bank

22 januari 2024 | 31 min

#174 The Future of Marketing Analytics with Cory Munchbach, CEO at BlueConic

18 januari 2024 | 50 min

Cookies were invented to help online shoppers, simply as an identifier so that online carts weren’t lost to the ether. Marketers quickly saw the power of using cookies for more than just maintaining session states, and moved to use them as part of their targeted advertising. Before we knew it, our online habits were being tracked, without our clear consent. The unregulated cookie-boom lasted until 2018 with the advent of GDPR and the CCPA. Since then marketers have been evolving their practices, looking for alternatives to cookie-tracking that will perform comparatively, and with the cookie being phased out in 2024, technologies like fingerprinting and new privacy-centric marketing strategies will play a huge role in how products meet users in the future.

Cory Munchbach has spent her career on the cutting edge of marketing technology and brings years working with Fortune 500 clients from various industries to BlueConic. Prior to BluConic, she was an analyst at Forrester Research where she covered business and consumer technology trends and the fast-moving marketing tech landscape. A sought-after speaker and industry voice, Cory’s work has been featured in Financial Times, Forbes, Raconteur, AdExchanger, The Drum, Venture Beat, Wired, AdAge, and Adweek. A life-long Bostonian, Cory has a bachelor’s degree in political science from Boston College and spends a considerable amount of her non-work hours on various volunteer and philanthropic initiatives in the greater Boston community.

In the episode, Richie and Cory cover successful marketing strategies and their use of data, the types of data used in marketing, how data is leveraged during different stages of the customer life cycle, the impact of privacy laws on data collection and marketing strategies, tips on how to use customer data while protecting privacy and adhering to regulations, the importance of data skills in marketing, the future of marketing analytics and much more.

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#173 Building Trustworthy AI with Alexandra Ebert, Chief Trust Officer at MOSTLY AI

15 januari 2024 | 51 min

#172 Data Storytelling and Visualization with Lea Pica from Present Beyond Measure

11 januari 2024 | 72 min

#171 Data Security in the Age of AI with Bart Vandekerckhove, Co-founder at Raito

8 januari 2024 | 46 min

#170 What Fortune 1000 Executives Believe about Data & AI in 2024 with Randy Bean, Innovation Fellow, Data Strategy, Wavestone

4 januari 2024 | 46 min

#169 Unlocking Efficiency Gains Through Process Mining with Wil van der Aalst and Cong Yu, Chief Scientist and VP Engineering at Celonis

28 december 2023 | 56 min

Regardless of profession, the work we do leaves behind a trace of actions that help us achieve our goals. This is especially true for those that work with data. For large enterprises where there are seemingly countless processes happening at any one time, keeping track of these processes is crucial. Given the scale of these processes, one small efficiency gain can leads to a staggering amount of time and money saved. Process mining is a data-driven approach to process analysis that uses event logs to extract process-related information. It can separate inferred facts, from exact truths, and uncover what really happens in a variety of operations.

Wil van der Aalst is a full professor at RWTH Aachen University, leading the Process and Data Science (PADS) group. He is also the Chief Scientist at Celonis, part-time affiliated with the Fraunhofer FIT, and a member of the Board of Governors of Tilburg University.

His research interests include process mining, Petri nets, business process management, workflow management, process modeling, and process analysis. Wil van der Aalst has published over 275 journal papers, 35 books (as author or editor), 630 refereed conference/workshop publications, and 85 book chapters.

Cong Yu leads the CeloAI group at Celonis focusing on bringing advanced AI technologies to EMS products, building up capabilities for their knowledge platform, and ultimately helping enterprises in reducing process inefficiencies and achieving operational excellence.

Previously, Cong was Principal (Research) Scientist / Research Director at Google Research NYC from September 2010 to July 2022, leading the NYSD/Beacon Research Group, and also taught at NYU Courant Institute of Mathematical Sciences.

In the episode, Wil, Cong, and Richie explore process mining and its development over the past 25 years, the differences between process mining and ML, AI, and data mining, popular use cases of process mining, adoption from large enterprises like BMW, HP, and Dell, the requirements for an effective process mining system, the role of predictive analytics and data engineering in process mining, how to scale process mining systems, prospects within the field and much more.

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#168 Causal AI in Business with Paul Hünermund, Assistant Professor, Copenhagen Business School

18 december 2023 | 50 min

There are a few caveats to using generative AI tools, those caveats have led to a few tips that have quickly become second nature to those that use LLMs like ChatGPT. The main one being: have the domain knowledge to validate the output in order to avoid hallucinations. Hallucinations are one of the weak spots for LLMs due to the nature of the way they are built, as they are trained to correlate data in order to predict what might come next in an incomplete sequence. Does this mean that we’ll always have to be wary of the output of AI products, with the expectation that there is no intelligent decision-making going on under the hood? Far from it. Causal AI is bound by reason—rather than looking at correlation, these exciting systems are able to focus on the underlying causal mechanisms and relationships. As the AI field rapidly evolves, Causal AI is an area of research that is likely to have a huge impact on a huge number of industries and problems.

Paul Hünermund is an Assistant Professor of Strategy and Innovation at Copenhagen Business School. In his research, Dr. Hünermund studies how firms can leverage new technologies in the space of machine learning and artificial intelligence such as Causal AI for value creation and competitive advantage. His work explores the potential for biases in organizational decision-making and ways for managers to counter them. It thereby sheds light on the origins of effective business strategies in markets characterized by a high degree of technological competition and the resulting implications for economic growth and environmental sustainability.

His work has been published in The Journal of Management Studies, the Econometrics Journal, Research Policy, Journal of Product Innovation Management, International Journal of Industrial Organization, MIT Sloan Management Review, and Harvard Business Review, among others.

In the full episode, Richie and Paul explore Causal AI, its differences when compared to other forms of AI, use cases of Causal AI in fields like drug development, marketing, manufacturing, and defense. They also discuss how Causal AI contributes to better decision-making, the role of domain experts in getting accurate results, what happens in the early stages of Causal AI adoption, exciting new developments within the Causal AI space and much more.

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#167 What to Expect from AI in 2024 with Craig S. Smith, Host of the Eye on A.I Podcast

11 december 2023 | 50 min

#166 Optimizing Cloud Data Warehouses with Salim Syed, VP, Head of Engineering at Capital One Software

4 december 2023 | 33 min

Effective data management has become a cornerstone of success in our digital era. It involves not just collecting and storing information but also organizing, securing, and leveraging data to drive progress and innovation. Many organizations turn to tools like Snowflake for advanced data warehousing capabilities. However, while Snowflake enhances data storage and access, it's not a complete solution for all data management challenges. To address this, tools like Capital One’s Slingshot can be used alongside Snowflake, helping to optimize costs and refine data management strategies.

Salim Syed is a VP, Head of engineering for Capital One Slingshot product. He led Capital One’s data warehouse migration to AWS and is a specialist in deploying Snowflake to a large enterprise. Salim’s expertise lies in developing Big Data (Lake) and Data Warehouse strategy on the public cloud. He leads an organization of more than 100 data engineers, support engineers, DBAs and full stack developers in driving enterprise data lake, data warehouse, data management and visualization platform services.

Salim has more than 25 years of experience in the data ecosystem. His career started in data engineering where he built data pipelines and then moved into maintenance and administration of large database servers using multi-tier replication architecture in various remote locations. He then worked at CodeRye as a database architect and at 3M Health Information Systems as an enterprise data architect. Salim has been at Capital One for the past six years.

In this episode, Adel and Salim explore cloud data management and the evolution of Slingshot into a major multi-tenant SaaS platform, the shift from on-premise to cloud-based data governance, the role of centralized tooling, strategies for effective cloud data management, including data governance, cost optimization, and waste reduction as well as insights into navigating the complexities of data infrastructure, security, and scalability in the modern digital era.

Links Mentioned in the Show:

#165 Data & AI for Good, with Marga Hoek, Founder & CEO, Business for Good

27 november 2023 | 46 min

There's often a debate in technology ethics on whether technology is neutral or not. On one hand, critics have rightfully pointed out examples of technology exacerbating the climate crisis, amplifying bias as we've seen in our recent episode with Dr. Joy Buolamwini, or contributing to the spread of misinformation and disinformation. Conversely, we cannot deny the many wonderful things technology has given us, from better healthcare outcomes, to the ability to communicate wherever we are in the world, or to elevate the quality of life of everyone on the planet.

It is this duality, that today's guest, Marga Hoek, points to as to why technology is neutral, and why it is in our hands to use it for good.

Marga Hoek is a true visionary on sustainable business, capital, and technology and a successful business leader. As a three-time CEO, Board Member, Chair, and Founder of Business for Good, she applies her vision on how business can be a true force for good in practice. As a bestselling and multi-award-winning author, member of Thinkers50, and one of the most in-demand speakers on sustainable business and ESG investment, Marga Hoek has inspired many companies and leaders worldwide. She is also appreciated as a global voice for G20 and G7 Intergovernmental forums, international climate meetings and COPs, and many other prestigious global conferences.

In the episode, Adel and Marga explore the fourth industrial revolution and the eight technologies that combine to build it, the ethical application of technology and how it can be the biggest lever to combating climate change and building a sustainable society, how data and AI enable real-time information sharing leading to better early warning systems related to the environment, use cases of tech for good initiatives, how collaboration can bridge the gap in investment for sustainable business ventures and a lot more.

Links Mentioned In the Show:

#164 Driving Data Democratization with Lilac Schoenbeck, Vice President of Strategic Initiatives at Rocket Software

20 november 2023 | 46 min

#163 Upgrading Company Culture Using The Geek Way with Andrew McAfee, Principal Research Scientist at the MIT Sloan School of Management

13 november 2023 | 61 min

We are all guilty of getting excited about shiny new toys in whatever guise they present themselves to us. For many of us, lots of the recent shiny new toys have been ways of utilizing AI to update and iterate on the ways that we work. Leadership teams have been looking for ways that their organizations can incorporate AI solutions into their products, regardless of whether they might be the most valuable use of the company's time. A company that fails to incorporate new tools and technology will stagnate and fail altogether right? A failure to adapt to the new state of play will surely stop the company from becoming a high performer? Or will it? What sets apart high-performing organizations from their non high-performing counterparts?

It’s not shiny new toys. It’s culture. Counter to conventional wisdom, the norms and beliefs of an organization, and not the technology and tools it uses, is what drives its performance.

Andrew McAfee is a Principal Research Scientist at the MIT Sloan School of Management, co-founder and co-director of MIT’s Initiative on the Digital Economy, and the inaugural Visiting Fellow at the Technology and Society organization at Google. He studies how technological progress changes the world. His book, The Geek Way, reveals a new way to get big things done. His previous books include More from Less and, with Erik Brynjolfsson, The Second Machine Age.

McAfee has written for publications including Foreign Affairs, Harvard Business Review, The Economist, The Wall Street Journal, and The New York Times. He's talked about his work on CNN and 60 Minutes, at the World Economic Forum, TED, and the Aspen Ideas Festival, with Tom Friedman and Fareed Zakaria, and in front of many international and domestic audiences. He’s also advised many of the world’s largest corporations and organizations ranging from the IMF to the Boston Red Sox to the US Intelligence Community.

Throughout the episode, Adel and Andrew explore the four cultural norms of the Geek way, the evolutionary biological underpinnings of the traits high performing organizations exhibit, case studies in adapting organizational culture, the role of data in driving high performance teams, useful frameworks leaders can adopt to build high performing organizations, and a lot more.

Link mentioned in the show:

#162 Scaling Data Engineering in Retail with Mohammad Sabah, SVP of Engineering & Data at Thrive Market

6 november 2023 | 51 min

#161 Fighting for Algorithmic Justice with Dr. Joy Buolamwini, Artist-in-Chief and President of The Algorithmic Justice League

30 oktober 2023 | 54 min

In 2015 an MIT Researcher set out to build a mirror that would augment their face to look like those of their idols. The execution of this went well, until it came to testing. When the researcher came to use the mirror, no face was detected. The researcher was not detected in the mirror, until that is, she put on a white mask, at which point, the mirror worked as expected.

Three years later, a paper named ‘Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification’ was published by the same researcher. Its release started a wider conversation about bias within AI-based facial recognition systems, and about bias within AI in general. Work to fight against algorithmic bias, or ‘The Coded-Gaze’, has been ongoing since. But who spearheaded this work and highlighted these issues to the AI and tech community?

Dr. Joy Buolamwini is an AI researcher, artist, and advocate. In 2023, she is one of Time’s top 100 most influential people in AI. Joy founded the Algorithmic Justice League to create a world with more equitable and accountable technology. Her TED Featured Talk on algorithmic bias has over 1.5 million views and in 2020 Netflix released the documentary ‘Coded Bias’ following Joy’s research into the flaws of facial recognition systems. Her MIT thesis methodology uncovered large racial and gender bias in AI services from companies like Microsoft, IBM, and Amazon. Her research has been covered in over 40 countries, and as a renowned international speaker she has championed the need for algorithmic justice at the World Economic Forum and the United Nations. She serves on the Global Tech Panel convened by the vice president of European Commission to advise world leaders and technology executives on ways to reduce the harms of A.I.

As a creative science communicator, she has written op-eds on the impact of artificial intelligence for publications like TIME Magazine and New York Times. Her spoken word visual audit "AI, Ain't I A Woman?" which shows AI failures on the faces of iconic women like Oprah Winfrey, Michelle Obama, and Serena Williams as well as the Coded Gaze short have been part of exhibitions ranging from the Museum of Fine Arts, Boston to the Barbican Centre, UK. A Rhodes Scholar and Fulbright Fellow, Joy has been named to notable lists including Bloomberg 50, Tech Review 35 under 35, , Forbes Top 50 Women in Tech (youngest), and Forbes 30 under 30. She holds two masters degrees from Oxford University and MIT; and a bachelor's degree in Computer Science from the Georgia Institute of Technology. Fortune Magazine named her to their 2019 list of world's greatest leaders describing her as "the conscience of the A.I. Revolution."

In the episode, Richie and Joy discuss her journey into AI, the ethics of AI, the inception of Joy’s interest in AI bias, the Aspire Mirror and Gender Shades projects, The Algorithmic Justice League, consequences of biased facial recognition systems, highlights from Joy’s book (Unmasking AI), challenges in AI research such as misleading datasets and the importance of context, balancing working in AI and data while being an artist, and much more.

Links mentioned in the show:

#160 Adapting to the AI Era with Jason Feifer, Editor in Chief of Entrepreneur Magazine

23 oktober 2023 | 46 min

#159 Building Trustworthy AI with Beena Ammanath, Global Head of the Deloitte AI Institute

16 oktober 2023 | 39 min

Throughout the past year, we've seen AI go from a nice-to-have, to a must-have in almost every large organization’s boardroom. There’s been more and more focus deploy AI by leadership teams, and as a result, there's never been more pressure on the data team to deliver with AI. However, as the pressure to deliver with AI grows, the need to build safe and trustworthy experiences has also never been more important. But how do we balance between innovation and building these trustworthy experiences? How do you make responsible AI practical? Who should we get into the room when scoping safe AI use-cases?

Beena Ammanath is an award- winning senior technology executive with extensive experience in AI and digital transformation. Her career has spanned leadership roles in e-commerce, finance, marketing, telecom, retail, software products, service, and industrial domains. She is also the author of the ground breaking book, Trustworthy AI.

Beena currently leads the Global Deloitte AI Institute and Trustworthy AI/ Ethical Technology at Deloitte. Prior to this, she was the CTO-AI at Hewlett Packard Enterprise. A champion for women and multicultural inclusion in technology and business, Beena founded Humans for AI, a 501c3b non-profit promoting diversity and inclusion in AI. Her work and contributions have been acknowledged with numerous awards and recognition such as 2016 Women Super Achiever Award from World Women’s Leadership Congress and induction into WITI’s 2017 Women in Technology Hall of Fame.

Beena was honored by UC Berkeley as 2018 Woman of the Year for Business Analytics, by the San Francisco Business Times as one of the 2017 Most Influential Women in Bay Area and by the National Diversity Council as one of the Top 50 Multicultural Leaders in Tech.

In the episode, Beena and Adel delve into the core principles of trustworthy AI, the interplay of ethics and AI in various industries, how to make trustworthy AI practical, who are the primary stakeholders for ensuring trustworthy AI, the importance of AI literacy when promoting responsible and trustworthy AI, and a lot more.

Links mentioned in the Show

#158 Building Human-Centered AI Experiences with Haris Butt, Head of Product Design at ClickUp

9 oktober 2023 | 53 min

#157 Is AI an Existential Risk? With Trond Arne Undheim, Research Scholar in Global Systemic Risk at Stanford University

2 oktober 2023 | 47 min

It's been almost a year since ChatGPT was released, mainstreaming AI into the collective consciousness in the process. Since that moment, we've seen a really spirited debate emerge within the data & AI communities, and really public discourse at large. The focal point of this debate is whether AI is or will lead to existential risk for the human species at large.

We've seen thinkers such as Elizier Yudkowski, Yuval Noah Harari, and others sound the alarm bell on how AI is as dangerous, if not more dangerous than nuclear weapons. We've also seen AI researchers and business leaders sign petitions and lobby government for strict regulation on AI.

On the flip side, we've also seen luminaries within the field such as Andrew Ng and Yan Lecun, calling for, and not against, the proliferation of open-source AI. So how do we maneuver this debate, and where does the risk spectrum actually lie with AI? More importantly, how can we contextualize the risk of AI with other systemic risks humankind faces? Such as climate change, risk of nuclear war, and so on and so forth? How can we regulate AI without falling into the trap of regulatory capture—where a select and mighty few benefit from regulation, drowning out the competition in the meantime?

Trond Arne Undheim is a Research scholar in Global Systemic Risk, Innovation, and Policy at Stanford University, Venture Partner at Antler, and CEO and co-founder of Yegii, an insight network with experts and knowledge assets on disruption. He is a nonresident Fellow at the Atlantic Council with a portfolio in artificial intelligence, future of work, data ethics, emerging technologies, and entrepreneurship. He is a former director of MIT Startup Exchange and has helped launch over 50 startups. In a previous life, he was an MIT Sloan School of Management Senior Lecturer, WPP Oracle Executive, and EU National Expert.

In this episode, Trond and Adel explore the multifaceted risks associated with AI, the cascading risks lens and the debate over the likelihood of runaway AI. Trond shares the role of governments and organizations in shaping AI's future, the need for both global and regional regulatory frameworks, as well as the importance of educating decision-makers on AI's complexities. Trond also shares his opinion on the contrasting philosophies behind open and closed-source AI technologies, the risk of regulatory capture, and more.

Links mentioned in the show:

#156 Making Better Decisions using Data & AI with Cassie Kozyrkov, Google's First Chief Decision Scientist

25 september 2023 | 69 min

From the dawn of humanity, decisions, both big and small, have shaped our trajectory. Decisions have built civilizations, forged alliances, and even charted the course of our very evolution. And now, as data & AI become more widespread, the potential upside for better decision making is massive. Yet, like any technology, the true value of data & AI is realized by how we wield it.

We're often drawn to the allure of the latest tools and techniques, but it's crucial to remember that these tools are only as effective as the decisions we make with them. ChatGPT is only as good as the prompt you decide to feed it and what you decide to do with the output. A dashboard is only as good as the decisions that it influences. Even a data science team is only as effective as the value they deliver to the organization.

So in this vast landscape of data and AI, how can we master the art of better decision making? How can we bridge data & AI with better decision intelligence?

Cassie Kozyrkov founded the field of Decision Intelligence at Google where, until recently, she served as Chief Decision Scientist, advising leadership on decision process, AI strategy, and building data-driven organizations. Upon leaving Google, Cassie started her own company of which she is the CEO, Data Scientific. In almost 10 years at the company, Cassie personally trained over 20,000 Googlers in data-driven decision-making and AI and has helped over 500 projects implement decision intelligence best practices. Cassie also previously served in Google's Office of the CTO as Chief Data Scientist, and the rest of her 20 years of experience was split between consulting, data science, lecturing, and academia.

Cassie is a top keynote speaker and a beloved personality in the data leadership community, followed by over half a million tech professionals. If you've ever went on a reading spree about AI, statistics, or decision-making, chances are you've encountered her writing, which has reached millions of readers.

In the episode Cassie and Richie explore misconceptions around data science, stereotypes associated with being a data scientist, what the reality of working in data science is, advice for those starting their career in data science, and the challenges of being a data ‘jack-of-all-trades’.

Cassie also shares what decision-science and decision intelligence are, what questions to ask future employers in any data science interview, the importance of collaboration between decision-makers and domain experts, the differences between data science models and their real-world implementations, the pros and cons of generative AI in data science, and much more.

Links mentioned in the Show:

#155 Building Diverse Data Teams with Tracy Daniels, Chief Data Officer at Truist

18 september 2023 | 49 min

In data science, the push for unbiased machine learning models is evident. So much effort is made into ensuring the products we create are done thoughtfully and correctly, but are we investing the same effort in ensuring our teams, the very architects of these models, are diverse and inclusive? Bias in data can lead to skewed results, and similarly, a lack of diversity in teams can result in narrow perspectives. As we prioritize building diversity and inclusion into our data, it's equally crucial to embed these principles within our teams. So, who is best equipped to guide us in integrating DEI from a data perspective?

Tracy Daniels is the Chief Data Officer for Truist Financial Corporation. She leads the team responsible for Truist’s enterprise data capabilities, including strategy, governance, data platform delivery, client, master & reference data, and the centers of excellence for business intelligence visualization and artificial intelligence & machine learning. She is also

the executive sponsor for Truist’s Enterprise Technology & Operations Diversity Council. Daniels joined Truist in 2018. She has more than 25 years of banking and technology experience leading high performing technology portfolio, development, infrastructure and global operations organizations. Tracy enjoys participating in civic and philanthropic endeavors including serving on the Georgia State University Foundation Board of Trustees. She has been recognized as a National 2013 WOC STEM Rising Star award recipient, the 2017 Working Mother magazine Mother of the Year recipient, and a 2021 Women In Technology (WIT) Women of the Year in STEAM finalist.

In the episode Tracy and Richie discuss Truist's approach to Diversity, Equity, and Inclusion (DEI) and its alignment with the company's purpose and values, the distinction between diversity and inclusion, the positive outcomes of implementing DEI correctly, the importance of not missing opportunities both externally with customers and internally with talent, the significance of aligning diversity programs with business metrics and hiring to promote DEI, considerations for job advertisements that appeal to a diverse audience, and much more.

Links mentioned in the show:

#154 Building Ethical Machines with Reid Blackman, Founder & CEO at Virtue Consultants

11 september 2023 | 57 min

It's been a year since ChatGPT burst onto the scene. It has given many of us a sense of the power and potential that LLMs hold in revolutionizing the global economy. But the power that generative AI brings also comes with inherent risks that need to be mitigated.

For those working in AI, the task at hand is monumental: to chart a safe and ethical course for the deployment and use of artificial intelligence. This isn't just a challenge; it's potentially one of the most important collective efforts of this decade. The stakes are high, involving not just technical and business considerations, but ethical and societal ones as well.

How do we ensure that AI systems are designed responsibly? How do we mitigate risks such as bias, privacy violations, and the potential for misuse? How do we assemble the right multidisciplinary mindset and expertise for addressing AI safety?

Reid Blackman, Ph.D., is the author of “Ethical Machines” (Harvard Business Review Press), creator and host of the podcast “Ethical Machines,” and Founder and CEO of Virtue, a digital ethical risk consultancy. He is also an advisor to the Canadian government on their federal AI regulations, was a founding member of EY’s AI Advisory Board, and a Senior Advisor to the Deloitte AI Institute. His work, which includes advising and speaking to organizations including AWS, US Bank, the FBI, NASA, and the World Economic Forum, has been profiled by The Wall Street Journal, the BBC, and Forbes. His written work appears in The Harvard Business Review and The New York Times. Prior to founding Virtue, Reid was a professor of philosophy at Colgate University and UNC-Chapel Hill.

In the episode, Reid and Richie discuss the dominant concerns in AI ethics, from biased AI and privacy violations to the challenges introduced by generative AI, such as manipulative agents and IP issues. They delve into the existential threats posed by AI, including shifts in the job market and disinformation. Reid also shares examples where unethical AI has led to AI projects being scrapped, the difficulty in mitigating bias, preemptive measures for ethical AI and much more.

Links mentioned in the show:

#153 From Data Literacy to AI Literacy with Cindi Howson, Chief Data Strategy Officer at ThoughtSpot

4 september 2023 | 39 min

For the past few years, we've seen the importance of data literacy and why organizations must invest in a data-driven culture, mindset, and skillset. However, as generative AI tools like ChatGPT have risen to prominence in the past year, AI literacy has never been more important. But how do we begin to approach AI literacy? Is it an extension of data literacy, a complement, or a new paradigm altogether? How should you get started on your AI literacy ambitions?

Cindi Howson is the Chief Data Strategy Officer at ThoughtSpot and host of The Data Chief podcast. Cindi is a data analytics, AI, and BI thought leader and an expert with a flair for bridging business needs with technology. As Chief Data Strategy Officer at ThoughtSpot, she advises top clients on data strategy and best practices to become data-driven, speaks internationally on top trends such as AI ethics, and influences ThoughtSpot’s product strategy.

Cindi was previously a Gartner Research Vice President, the lead author for the data and analytics maturity model and analytics and BI Magic Quadrant, and a popular keynote speaker. She introduced new research in data and AI for good, NLP/BI Search, and augmented analytics, bringing both BI bake-offs and innovation panels to Gartner globally. She’s frequently quoted in MIT, Harvard Business Review, and Information Week. She is rated a top 12 influencer in big data and analytics by Analytics Insight, Onalytca, Solutions Review, and Humans of Data.

In the episode, Cindi and Adel discuss how generative AI accelerates an organization’s data literacy, how leaders can think beyond data literacy and start to think about AI literacy, the importance of responsible use of AI, how to best communicate the value of AI within your organization, what generative AI means for data teams, AI use-cases in the data space, the psychological barriers blocking AI adoption, and much more.

Links Mentioned in the Show:

The Data Chief Podcast

ThoughtSpot Sage

BloombergGPT

Radar: Data & AI Literacy

Course: AI Ethics

Course: Generative AI Concepts

Course: Implementing AI Solutions in Business

Introducing Data & AI Literacy Month

1 september 2023 | 2 min

#152 How Data can Enable Effective Leadership with Dr. Constance Dierickx, The Decision Doctor

28 augusti 2023 | 56 min

#151 How Data Science Can Sustain Small Businesses with Kendra Vant, Executive GM Data & AI Products at Xero

21 augusti 2023 | 51 min

#150 Unlocking the Power of Data Science in the Cloud

14 augusti 2023 | 39 min

#149 Expanding the Scope of Generative AI in the Enterprise with Bal Heroor, CEO and Principal at Mactores

7 augusti 2023 | 60 min

#148 Why AI is Eating the World with Daniel Jeffries, Managing Director at AI Infrastructure Alliance

31 juli 2023 | 60 min

#147 The Past, Present & Future of Generative AI—With Joanne Chen, General Partner at Foundation Capital

24 juli 2023 | 37 min

#146 Do Spreadsheets Need a Rethink? With Hjalmar Gislason, CEO of GRID

17 juli 2023 | 54 min

#145 Why AI will Change Everything—with Former Snowflake CEO, Bob Muglia

10 juli 2023 | 54 min

#144 Intel CTO Steve Orrin on How Governments Can Navigate the Data & AI Revolution

3 juli 2023 | 49 min

#143 Fighting the Climate Crisis with Data

26 juni 2023 | 37 min

#142 Is Data Science Still the Sexiest Job of the 21st Century?

19 juni 2023 | 46 min

About 10 years ago, Thomas Davenport & DJ Patil published the article "Data Scientist: The Sexiest Job of the 21st Century" in the Harvard Business Review. In this piece, they described the bourgeoning role of the data scientist and what it will mean for organizations and individuals in the coming decade.

As time has passed, data science has become increasingly institutionalized. Once seen as a luxury, it is now deemed a necessity in every modern boardroom. Moreover as technologies like AI and systems like ChatGPT keep astonishing us with their capabilities in handling data science tasks, it raises a pertinent question: Is Data Science Still the Sexiest Job of the 21st Century?

In this episode, we invited Thomas Davenport on the show to share his perspective on where data science & AI are at today, and where they are headed. Thomas Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative for the Digital Economy, and a Senior Advisor to Deloitte Analytics. He has written or edited twenty books and over 250 print or digital articles for Harvard Business Review (HBR), Sloan Management Review, the Financial Times, and many other publications. One of HBR’s most frequently published authors, Thomas has been at the forefront of the Process Innovation, Knowledge Management, and Analytics and Big Data movements. He pioneered the concept of “competing on analytics” with his 2006 Harvard Business Review article and his 2007 book by the same name. Since then, he has continued to provide cutting-edge insights on how companies can use analytics and big data to their advantage, and then on artificial intelligence.

Throughout the episode, we discuss how data science has changed since he first published his article, how it has become more institutionalized, how data leaders can drive value with data science, the importance of data culture, his views on AI and where he thinks its going, and a lot more.

Links from the Show:

Working with AI by Thomas Davenport

The AI Advantage: How to Put the Artificial Intelligence Revolution to Work by Thomas Davenport

Harvard Business Review

New Vantage Partners

CCC Intelligent Solutions

Radar AI

#141 How Data Science is Transforming the NBA

12 juni 2023 | 49 min

Historically in elite team sports, there has often been a dynamic between players and their inherent abilities, and the vision of the coach. In many sports, we’ve seen coaching strategies influence the future of how the game is played.

As the era of professionalism swept across many elite sports in the 90s, we saw the highest-level sports teams achieve a competitive edge by looking at the data, with sports fans often noticing a difference in the ‘feel’ of the way their team plays. In Basketball specifically, we have recently seen the rise of the 3-pointer, a riskier and much more difficult shot to accurately hit, even for professional players. But what has driven the rise of the 3-pointer? Is it another trend among coaches, or does the answer lie with data-based insights and the analysts producing these insights?

Seth Partnow is the Director of North American Sports at StatsBomb, where he previously served as their Director of Basketball Analytics. Prior to joining StatsBomb in 2021, Seth was the Director of Basketball Research for the Milwaukee Bucks basketball team. Seth is also an accomplished Analyst and Author, having worked as an NBA Analyst for The Athletic since 2019 and having published his own book on basketball analytics, The Midrange Theory. Seth’s knowledge and insight bridges the gap between data analytics and elite US sport.

In the episode, Seth and Richie look into the intricate dynamics of elite basketball. Seth explores the challenges of attributing individual contributions in a sport where the outcome is significantly influenced by the complex interplay between players.

Drawing from his extensive experience in the field, Seth discusses the complexities of analyzing player performance, the nuances of determining why certain players get easier or harder shots, and the difficulty of attributing credit for defensive achievements to individual players.

Seth provides a comprehensive overview of the various roles within sports analytics, from data engineers to analysts, and highlights the importance of finding one's niche within these roles, particularly in the context of elite basketball.

Seth also shares his personal journey into basketball analytics, offering valuable insights and advice for those interested in pursuing a career in this field, stressing the importance of introspection and understanding the unique lifestyle associated with working for a sports team, while also offering industry-agnostic advice on how to approach analyzing and using data in any context.

#140 How this Accenture CDO is Navigating the AI Revolution

5 juni 2023 | 48 min

In the realm of Applied Intelligence, Accenture leads the way in harnessing the power of data and AI to transform industries. From consumer products to life sciences, retail, and aerospace, Accenture's influence is far-reaching. But what drives the organization? How does it navigate the complex landscape of data modernization and transformation? And more importantly, how does it leverage technology not just as an enabler, but as a catalyst for innovation?

Tracy Ring leads Accenture’s Applied Intelligence Products Category Group, in this role she has leadership across Consumer and Industrial Products, Automotive, Life Sciences, Retail and Aerospace and Defense. As the CDO and Global Generative AI lead for Life Sciences, she personally anchors the NA Applied Intelligence Life Sciences practice of more than 500 practitioners. Tracy has created solutions for Generative AI, Data led transformation, Artificial Intelligence, Data and Cloud Modernization, Analytics, and the organization and operating model strategies for next-generation adoption and AI fluency.

In the episode, Tracy initially clarifies the difference between data modernization and data transformation, highlighting their distinct meanings and why the terms aren’t interchangeable.

Tracy also emphasizes the importance of involving business end-users from the outset of data projects as well as advocating for a product-oriented approach to data.

The discussion also covers the topic of team diversity and inclusivity. Tracy shares practical advice on how to build diverse teams and create an environment that encourages curiosity and open dialogue. Tracy also shares her perspective on the future of work and the importance of fostering meaningful conversations in the workplace. She advocates for an attitude of infinite curiosity within teams.

In the context of life sciences, Tracy highlights the high stakes involved and underscores the need for responsible AI, data sharing, and data privacy. She also points out that the challenges in this field are more similar than dissimilar to those in other industries.

Tune in for a wealth of insights from a seasoned leader in the field of Applied Intelligence.

#139 How Data Scientists Can Thrive in the FMCG Industry

29 maj 2023 | 42 min

#138 Data Science & AI in the Gaming Industry

22 maj 2023 | 38 min

#137 Navigating Parenthood with Data

15 maj 2023 | 45 min

[DataFramed AI Series #4] Building AI Products with ChatGPT

11 maj 2023 | 56 min

[DataFramed AI Series #3] GPT and Generative AI for Data Teams

10 maj 2023 | 39 min

With the advances in AI products and the explosion of ChatGPT in recent months, it is becoming easier to imagine a world where AI and humans work seamlessly together—revolutionizing how we solve complex problems and transform our daily lives. This is especially the case for data professionals.

In this episode of our AI series, we speak to Sarah Schlobohm, Head of AI at Kubrick Group. Dr. Schlobohm leads the training of the next generation of machine learning engineers. With a background in finance and consulting, Sarah has a deep understanding of the intersection between business strategy, data science, and AI. Prior to her work in finance, Sarah became a chartered accountant, where she honed her skills in financial analysis and strategy. Sarah worked for one of the world's largest banks, where she used data science to fight financial crime, making significant contributions to the industry's efforts to combat money laundering and other illicit activities. Sarah shares her extensive knowledge on incorporating AI within data teams for maximum impact, covering a wide array of AI-related topics, including upskilling, productivity, and communication, to help data professionals understand how to integrate generative AI effectively in their daily work.

Throughout the episode, Sarah explores the challenges and risks of AI integration, touching on the balance between privacy and utility. She highlights the risks data teams can avoid when using AI products and how to approach using AI products the right way. She also covers how different roles within a data team might make use of generative AI, as well as how it might effect coding ability going forward.

Sarah also shares use cases for those in non-data teams, such as marketing, while also highlighting what to consider when using outputs from GPT models. Sarah shares the impact chatbots might have on education calling attention to the power of AI tutors in schools.

Sarah encourages people to start using AI now, considering the barrier to entry is so low, and how that might not be the case going forward. From automating mundane tasks to enabling human-AI collaboration that makes work more enjoyable, Sarah underscores the transformative power of AI in shaping the future of humanity.

Whether you're an AI enthusiast, data professional, or someoone with an interest in either this episode will provide you with a deeper understanding of the practical aspects of AI implementation.

[DataFramed AI Series #2] How Organizations can Leverage ChatGPT

9 maj 2023 | 47 min

With the advent of any new technology that promises to make humans lives easier, replacing concious actions with automation, there is always backlash. People are often aware of the displacement of jobs, and often, it is viewed in a negative light. But how do we try to change the collective understanding to one of hope and excitement? What use cases can be shared that will change the opinion of those that are weary of AI?

Noelle Silver Russell is the Global AI Solutions & Generative AI & LLM Industry Lead at Accenture, responsible for enterprise-scale industry playbooks for generative AI and LLMs. In this episode of our AI series, Noelle discusses how to prioritize ChatGPT use cases by focusing on the different aspects of value creation that GPT models can bring to individuals and organizations. She addresses common misconceptions surrounding ChatGPT and AI in general, emphasizing the importance of understanding their potential benefits and selecting use cases that maximize positive impact, foster innovation, and contribute to job creation.

Noelle draws parallels between the fast-moving AI projects today and the launch of Amazon Alexa, which she worked on, and points out that many of the discussions being raised today were also talked about 10 years ago. She discusses how companies can now use AI to focus both on business efficiencies and customer experience, no longer having to settle for a trade-off between the two.

Noelle explains the best way for companies to approach adding GPT tools into their processes, which focusses on taking a holistic view to implementation. She also recommends use-cases for companies that are just beginning to use AI, as well as the challenges they might face when deploying models into production, and how they can mitigate them.

On the topic of the displacement of jobs, Noelle draws parallels from when Alexa was launched, and how it faced similar criticisms, digging into the fear that people have around new technology, which could be transformed into enthusiasm. Noelle suggests that there is a burden on leadership within organizations to create a culture where people are excited to use AI tools, rather than feeling threatened by them.

[DataFramed AI Series #1] ChatGPT and the OpenAI Developer Ecosystem

8 maj 2023 | 55 min

Introducing the DataFramed AI Series

5 maj 2023 | 2 min

#136 Scaling the Data Culture at Salesforce

1 maj 2023 | 40 min

#135 Building the Case for Data Literacy

24 april 2023 | 39 min

Data literacy is becoming increasingly recognized as a valuable skill in today's workforce. We all interact with data on a daily basis, and organizations are now realizing the tremendous benefits of having a workforce that is well-versed in data, from interacting with dashboards to data analysis and data science. But, it all starts with data literacy.

In this episode, we speak with Valerie Logan, CEO and Founder of The Data Lodge. Valerie is committed to data literacy, she believes that in today's digital society, data literacy is a life skill. With advisory services, bootcamps, a resource library and community services at The Data Lodge, Valerie is certifying the world’s first Data Literacy Program Leads and pioneering the path forward in cracking the data culture code. Valerie is also known for helping popularize the term "Data Literacy." In this episode, she shares insights on what a successful data literacy journey looks like, best practices for evangelizing data literacy programs, how to avoid siloed efforts between departments and much more.

Valerie sheds light on the difficulties organizations face when trying to prioritize data literacy and data culture. She suggests that this is because humans are still at the center of organizations, and changing their behaviour is a challenge. She also talks about what data literacy means, and how the definition adapts to use cases.

Valerie offers guidance on how to secure executive buy-in for data upskilling programs, explaining that finding a sponsor for the program is the first step. She also talks about the importance of extending buy-in to people who are less directly involved with data and upskilling, emphasizing how the program will help strategic objectives.

Valerie also provides insights on the hallmarks of an effective pilot program for data literacy, suggesting that organizations go where there's already interest and that a good pilot is one where before and after effects can be measured. She also shares tips on how organizations can ensure that their data literacy program helps them achieve their strategic business goals.

Throughout the episode, Valerie outlines the benefit and scope data literacy can have on an organization, with one of the most pertinent pieces of wisdom being a warning to organisations that risk ignoring upskilling and investing in data.

Links mentioned in the show:

#134 Building Great Machine Learning Products at Opendoor

17 april 2023 | 40 min

#133 Building a Safer Internet with Data Science

10 april 2023 | 43 min

#132 The Past, Present, and Future, of the Data Science Notebook

3 april 2023 | 42 min

The concept of literate programming, or the idea of programming in a document, was first introduced in 1984 by Donald Knuth. And as of today, notebooks are now the defacto tool for doing data science work. So as the data tooling space continues to evolve at breakneck speed, what are the possible directions the data science notebook can take?

In this episode of DataFramed, we talk with Dr. Jodie Burchell, Data Science Developer Advocate at JetBrains, to find out how data science notebooks evolved into what they are today, what her predictions are for the future of notebooks and data science, and how generative AI will impact data teams going forward.

Jodie completed a Ph.D. in clinical psychology and a postdoc in biostatistics before transitioning into data science. She has since worked for 7 years as a data scientist, developing products ranging from recommendation systems to audience profiling. She is also a prolific content creator in the data science community.

Throughout the episode, Jodie discusses the evolution of data science notebooks over the last few years, noting how the move to remote-based notebooks has allowed for the seamless development of more complex models straight from the notebook environment.

Jodie and Adel’s conversation also covers tooling challenges that have led to modern IDEs and notebooks, with Jodie highlighting the importance of good database tooling and visibility. She shares how data science notebooks have evolved to help democratize data for the wider organization, the tradeoffs between engineering-led approaches to tooling compared to data science approaches, what generative AI means for the data profession, her predictions for data science, and more.

Tune in to this episode to learn more about the evolution of data science notebooks and the challenges and opportunities facing the data science community today.

Links to mentioned in the show:

[Radar Recap] Unleashing the Power of Data Teams in 2023

30 mars 2023 | 44 min

[Radar Recap] Building an Enterprise Data Strategy that Puts People First

29 mars 2023 | 41 min

[Radar Recap] Navigating the Future with Data Literacy: How Organizations Can Thrive in 2023 & Beyond

28 mars 2023 | 47 min

[Radar Recap] Value Creation with the Modern Data Stack

27 mars 2023 | 44 min

#131 How the Aviation Industry Leverages Data Science

20 mars 2023 | 35 min

Data leaders play a critical role in driving innovation and growth in various industries, and this is particularly true in highly regulated industries such as aviation. In such industries, data leaders face unique challenges and opportunities, working to balance the need for innovation with strict regulatory requirements. This week’s guest is Derek Cedillo, who has 27 years of experience working in Data and Analytics at GE Aerospace. Derek currently works as a Senior Manager for GE Aerospace’s Remote Monitoring and Diagnostics division, having previously worked as the Senior Director for Data Science and Analytics.

In the episode, Derek shares the key components to successfully managing a Data Science program within a large and highly regulated organization. He also shares his insights on how to standardize data science planning across various projects and how to get a Data Scientists to think and work in an agile manner. We hear about ideal data team structures, how to approach hiring, and what skills to look for in new hires.

The conversation also touches on what responsibility Data Leaders have within organizations, championing data-driven decisions and strategy, as well as the complexity Data Leaders face in highly regulated industries. When it comes to solving problems that provide value for the business, engagement and transparency are key aspects. Derek shares how to ensure that expectations are met through clear and frank conversations with executives that try to align expectations between management and Data Science teams.

Finally, you'll learn about validation frameworks, best practices for teams in less regulated industries, what trends to look out for in 2023 and how ChatGPT is changing how executives define their expectations from Data Science teams.

Links to mentioned in the show:

The Checklist Manifesto by Atul Gawande

Team of Teams by General Stanley McChrystal

The Harvard Data Science Review Podcast

Relevant Links from DataCamp:

Article: Storytelling for More Impactful Data Science

Course: Data Communication Concepts

Course: Data-Driven Decision-Making for Business

#130 The Path to Becoming a Kaggle Grandmaster

13 mars 2023 | 50 min

#129 Increasing Diverse Representation in Data Science

6 mars 2023 | 35 min

#128 Unlocking Scalable ROI for Data Teams

27 februari 2023 | 44 min

#127 How Data Scientists Can Thrive in Consulting

20 februari 2023 | 42 min

#126 Make Your A/B Testing More Effective and Efficient

13 februari 2023 | 50 min

#125 Building Trust in Data with Data Governance

6 februari 2023 | 41 min

Special Announcement!

3 februari 2023 | 2 min

#124 Using AI to Improve Data Quality in Healthcare

30 januari 2023 | 41 min

#123 Why We Need More Data Empathy

23 januari 2023 | 44 min

#122 How Organizations Can Bridge the Data Literacy Gap

16 januari 2023 | 43 min

#121 ChatGPT and How Generative AI is Augmenting Workflows

12 januari 2023 | 48 min

#120 Data Trends & Predictions for 2023

9 januari 2023 | 39 min

#119 Data-Driven Thinking for the Everyday Life

31 december 2022 | 56 min

#118 How Power BI Empowers Collaboration

19 december 2022 | 39 min

#117 Successful Data & Analytics in the Insurance Industry

12 december 2022 | 47 min

#116 Value Creation Within the Modern Data Stack

5 december 2022 | 48 min

#115 Inside the Generative AI Revolution

28 november 2022 | 33 min

#114 How Chelsea FC Uses Analytics to Drive Matchday Success

21 november 2022 | 47 min

#113 Successful Frameworks for Scaling Data Maturity

14 november 2022 | 44 min

#112 Data Journalism in the Age of COVID-19

7 november 2022 | 35 min

#111 The Rise of the Julia Programming Language

31 oktober 2022 | 43 min

#110 Behind the Scenes of Transamerica’s Data Transformation

24 oktober 2022 | 45 min

#109 How Data Leaders Can Build an Effective Talent Strategy

17 oktober 2022 | 48 min

#108 The Hallmarks of Successful Data Training Programs

10 oktober 2022 | 48 min

#107 The Deep Learning Revolution in Space Science

3 oktober 2022 | 53 min

#106 How CBRE is Increasing Data Literacy for Over 3,000 Employees

26 september 2022 | 48 min

#105 What Data Visualization Means for Data Literacy

19 september 2022 | 42 min

#104 How the Data Community Can Accelerate Your Data Career

12 september 2022 | 35 min

#103 How Data Literacy Skills Help You Succeed

5 september 2022 | 52 min

Announcing Data Literacy Month

2 september 2022 | 2 min

#102 How an Always-Learning Culture Drives Innovation at Shopify

29 augusti 2022 | 41 min

#101 How Real-Time Data Accelerates Business Outcomes

22 augusti 2022 | 45 min

#100 Embedded Machine Learning on Edge Devices

15 augusti 2022 | 52 min

#99 Post-Deployment Data Science

8 augusti 2022 | 34 min

#98 Interpretable Machine Learning

1 augusti 2022 | 51 min

#97 How Salesforce Created a High-Impact Data Science Organization

25 juli 2022 | 44 min

#96 GPT-3 and our AI-Powered Future

18 juli 2022 | 64 min

#95 How to Build a Data Science Team from Scratch

11 juli 2022 | 39 min

#94 How Data Science Enables Better Decisions at Merck

4 juli 2022 | 40 min

#93 How Data Science Drives Value for Finance Teams

27 juni 2022 | 37 min

#92 Democratizing Data in Large Enterprises

20 juni 2022 | 43 min

#91 Building a Holistic Data Science Function at New York Life Insurance

13 juni 2022 | 38 min

#90 How Data Science is Transforming the Healthcare Industry

6 juni 2022 | 36 min

[DataFramed Careers Series #4]: Acing the Data Science Interview

2 juni 2022 | 39 min

[DataFramed Careers Series #3]: Accelerating Data Careers with Writing

1 juni 2022 | 31 min

[DataFramed Careers Series #2] What Makes a Great Data Science Portfolio

31 maj 2022 | 51 min

[DataFramed Careers Series #1] Launching a Data Career in 2022

30 maj 2022 | 40 min

DataFramed Careers Series Special Announcement!

27 maj 2022 | 2 min

Introducing the DataFramed Careers Series. Over the past year hosting the DataFramed podcast, we've had the incredible privilege of having biweekly conversations with data leaders at the forefront of the data revolution. This has led to fascinating conversations on the future of the modern data stack, the future of data skills, and how to build organizational data literacy.

However, as the DataFramed podcast grows, we want to be able to provide the data science community across the spectrum from practitioners to leaders, with distilled insights that will help them manoeuvre their careers effectively. And we want to do that more often.

This is why we’re excited to announce the launch of a four-day DataFramed Careers Series. Throughout next week, we will interview four different thought leaders and experts about what it takes to break into data science in 2022, best practices to stand out from the crowd, building a brand in data science, and more. Moreover, this episode series will mark DataFramed’s transition from biweekly to weekly.

Starting Monday the 30th of May, DataFramed will become a weekly podcast.

For next week’s DataFramed Careers Series, we’ll be covering the ins and outs of building a career in data, and the different aspects of standing out from the crowd during the job hunt. We’ll be hearing from Sadie St Lawrence, CEO and Founder of Women in Data on what it takes to launch a data career in 2022. Nick Singh, Co-author of Ace the Data Science Interview and 2nd time guest of DataFramed will join us to discuss what makes a great data science portfolio project. Khuyen Tran, Developer Advocate at Prefect on will outline how writing can accelerate a data career, and Jay Feng, CEO of Interview Query will join us to provide tips and frameworks on acing the data science interview.

For future DataFramed episodes, we’ll definitely still cover the different aspects of building a data-driven organization, cover the latest advancements in data science, building data careers, and more. So expect more varied guests, topics, and more specials series like this one in the future.

#85 Building Data Literacy at Starbucks

16 maj 2022 | 35 min

#84 Building High-Impact Data Teams at Capital One

2 maj 2022 | 35 min

#83 Empowering the Modern Data Analyst

17 april 2022 | 36 min

#82 Successful Digital Transformation Puts People First

3 april 2022 | 45 min

#81 The Gradual Process of Building a Data Strategy

21 mars 2022 | 49 min

#80 The Rise of Hybrid Jobs & the Future of Data Skills

7 mars 2022 | 43 min

#79 Delivering Smarter Cities & Better Public Policy w/ Data

21 februari 2022 | 48 min

#78 How Data & Culture Unlock Digital Transformation

7 februari 2022 | 36 min

#77 Acing the Data Science Interview

24 januari 2022 | 57 min

#76 Providing Financial Inclusion with Data Science, with Vishnu V Ram, VP of Data Science and Engineering at Credit Karma

29 november 2021 | 52 min

#75 The Data Storytelling Skills Data Teams Need with Andy Cotgreave, Technical Evangelist at Tableau

15 november 2021 | 51 min

#74 Harnessing the Power of Collaboration with Engineering Manager at Lucid Software, Brian Campbell

1 november 2021 | 34 min

#73 Scaling AI Adoption in Financial Services with Chief Strategy Officer and Head of Financial Services at TruEra Shameek Kundu

18 oktober 2021 | 61 min

#72 Building High Performing Data Teams with Syafri Bahar, VP of Data Science at Gojek

4 oktober 2021 | 51 min

#71 Scaling Machine Learning Adoption: A Pragmatic Approach

20 september 2021 | 50 min

#70 Beyond the Language Wars: R & Python for the Modern Data Scientist

6 september 2021 | 56 min

#69 Effective Data Storytelling: How to Turn Insights into Action

23 augusti 2021 | 52 min

#68 The Future of Responsible AI

9 augusti 2021 | 45 min

#67 Operationalizing Machine Learning with MLOps

26 juli 2021 | 35 min

#66 The Path to Building Data Cultures

12 juli 2021 | 31 min

#65 Preventing Fraud in eCommerce with Data Science

28 juni 2021 | 52 min

#64 Creating Trust in Data with Data Observabilty

14 juni 2021 | 43 min

#63 The Past and Present of Data Science

31 maj 2021 | 67 min

#62 From Predictions to Decisions

17 maj 2021 | 52 min

#61 Creating Smart Cities with Data Science

3 maj 2021 | 44 min

New DataFramed Episodes

26 april 2021 | 15 min

#60 Data Privacy in the Age of COVID-19

15 maj 2020 | 76 min

#59 Data Science R&D at TD Ameritrade

1 april 2019 | 51 min

#58 Critical Thinking in Data Science

25 mars 2019 | 59 min

#57 The Credibility Crisis in Data Science

18 mars 2019 | 55 min

#56 Data Science at AT&T Labs Research

11 mars 2019 | 57 min

#55 Getting Your First Data Science Job

4 mars 2019 | 69 min

#54 Women in Data Science

25 februari 2019 | 47 min

#53 Data Science, Gambling and Bookmaking

18 februari 2019 | 54 min

#52 Data Science at the BBC

11 februari 2019 | 62 min

#51 Inclusivity and Data Science

4 februari 2019 | 62 min

#50 Weapons of Math Destruction

26 november 2018 | 56 min

#49 Data Science Tool Building

19 november 2018 | 58 min

#48 Managing Data Science Teams

12 november 2018 | 50 min

#47 Human-centered Design in Data Science

5 november 2018 | 63 min

#46 AI in Healthcare, an Insider's Account

29 oktober 2018 | 62 min

#45 Decision Intelligence and Data Science

22 oktober 2018 | 66 min

#44 Project Jupyter and Interactive Computing

15 oktober 2018 | 65 min

#43 Election Forecasting and Polling

8 oktober 2018 | 65 min

#42 Full Stack Data Science

1 oktober 2018 | 51 min

#41 Uncertainty in Data Science

24 september 2018 | 59 min

#40 Becoming a Data Scientist

17 september 2018 | 61 min

#39 Data Science at Stitch Fix

10 september 2018 | 60 min

#38 Data Products, Dashboards and Rapid Prototyping

3 september 2018 | 51 min

#37 Data Science and Insurance

27 augusti 2018 | 60 min

#36 Data Science and Ecology

20 augusti 2018 | 56 min

#35 Data Science in Finance

13 augusti 2018 | 59 min

#34 Data Journalism & Interactive Visualization

6 augusti 2018 | 56 min

#33 Pharmaceuticals and Data Science

30 juli 2018 | 60 min

#32 Data Science at Doctors without Borders

23 juli 2018 | 55 min

#31 Chatbots, Conversational Software & Data Science

16 juli 2018 | 57 min

#30 Data Science at McKinsey

9 juli 2018 | 57 min

#29 Machine Learning & Data Science at Github

2 juli 2018 | 59 min

#28 Organizing Data Science Teams

25 juni 2018 | 59 min

#27 Data Security, Data Privacy and the GDPR

18 juni 2018 | 57 min

#26 Spreadsheets in Data Science

11 juni 2018 | 59 min

#25 Data Science for Everyone

4 juni 2018 | 53 min

#24 Data Science in the Cloud

28 maj 2018 | 60 min

#23 Online Experiments at Booking.com

21 maj 2018 | 59 min

#22 Robust Data Science with Statistical Modeling

14 maj 2018 | 57 min

#21 The Fight Against Cancer

7 maj 2018 | 54 min

#20 Kaggle and the Future of Data Science

30 april 2018 | 52 min

#19 Automated Machine Learning

23 april 2018 | 60 min

#18 Deep Learning at NVIDIA

16 april 2018 | 51 min

#17 Biology and Deep Learning

9 april 2018 | 58 min

DataFramed

Welcome to DataFramed, a weekly podcast exploring how artificial intelligence and data are changing the world around us.

Om podden

Avsnitt

#295 How To Get Hired As A Data Or AI Engineer with Deepak Goyal, CEO & Founder at Azurelib Academy

#294 Six Skills Data Professionals Need To Succeed with Abhijit Bhaduri, Brand Evangelist & Former General Manager of Global L&D at Microsoft

#293 Unlocking Humanity in the Age of AI with Faisal Hoque, Founder and CEO of SHADOKA

#292 Offline A/B Testing: Experimentation in Brick and Mortar with Philipp Paraguya, Chapter Lead Data Science at ALDI DX

#291 Developments in Speech AI with Alon Peleg & Gill Hetz, COO and VP of AI at aiOla

#290 Scaling Responsible AI Literacy with Uthman Ali, Global Head of Responsible AI at BP

#289 How I Nearly Got Fired For Running An A/B Test with Vanessa Larco, Former Partner at New Enterprise Associates

#288 How Generative AI is Transforming Finance with Andrew Reiskind, CDO at Mastercard

#287 Self-Service Generative AI Product Development at Credit Karma with Madelaine Daianu, Head of Data & AI at Credit Karma

#286 Data Science Trends from 2 Kaggle Grandmasters with Jean-Francois Puget, Distinguished Engineer at NVIDIA & Chris Deotte, Senior Data Scientist at NVIDIA

#285 Building an Analytics Production Line with Lee Feinberg, CEO at DecisionViz

Industry Roundup #3: The Rise of Reasoning LLMs, OpenAI Operator, Project Stargate, and Gemini’s Struggle for Recognition

#284 How Optimization Powers Decision Intelligence with Duke Perrucci & Ed Klotz, CEO and Senior Mathematical Optimization Specialist at Gurobi Optimization

#283 Data Storytelling With High ROI: How to Create Great Thought Leadership with Cindy Anderson & Anthony Marshall, CMO and Senior Research Director at IBM

#282 Navigating the Challenges of Product Integrations with Gil Feig, Co-Founder and CTO of Merge

#281 Developing AI Products That Impact Your Business with Venky Veeraraghavan, Chief Product Officer at DataRobot

#280 Can We Create A Universal AI Employee? with Surojit Chatterjee, CEO of Ema

#279 Customer Strategy in the Age of AI with David Edelman, Harvard Business School Fellow, Executive Advisor with BCG

#278 Building Multi-Modal AI Applications with Russ d'Sa, CEO & Co-founder of LiveKit

#277 How Generative AI is Changing Leadership with Christie Smith, Founder of the Humanity Institute and Kelly Monahan, Managing Director, Upwork Research Institute

#276 Why Getting AI Ethics Right Really Matters with Christopher DiCarlo, Professor at University of Toronto, Senior Researcher and Ethicist at Convergence Analysis

#275 Did Gen AI Kill NLP? with Meri Nova, Technical Founder at Break into Data

#274 Data Trends & Predictions 2025 with DataCamp's CEO & COO, Jonathan Cornelissen & Martijn Theuwissen

#273 Reviewing Our Data Trends & Predictions of 2024 with DataCamp's CEO & COO, Jonathan Cornelissen & Martijn Theuwissen

#272 The Unreasonable Effectiveness of AI in Software Development with Eran Yahav, CTO of Tabnine

#271 Creating High Quality AI Applications with Theresa Parker & Sudhi Balan, Rocket Software

Best of 2024: Data & AI Trends in 2024, with Tom Tunguz, General Partner at Theory Ventures

Best of 2024: 50 Years of SQL with Don Chamberlin, Computer Scientist and Co-Inventor of SQL

Best of 2024: The Art of Prompt Engineering with Alex Banks, Founder and Educator, Sunday Signal

Best of 2024: Data Storytelling and Visualization with Lea Pica from Present Beyond Measure

#270 Leadership in the AI Era with Dana Maor, Senior Partner at McKinsey & Company

#269 Governing Data Models with Sarah Levy, CEO and Co-Founder at Euno

#268 Scaling AI in the Enterprise with Abhas Ricky, Chief Strategy Officer at Cloudera

Industry Roundup #2: AI Agents for Data Work, The Return of the Full-Stack Data Scientist and Old languages Make a Comeback

#267 No More NoSQL? How AI is Changing the Database with Sahir Azam, Chief Product Officer at MongoDB

#266 Edge AI with Derek Collison & Justyna Bak, CEO & VP of Marketing at Synadia

#265 What You Need to Know About the EU AI Act with Dan Nechita, EU Director at Transatlantic Policy Network

#264 From Gen AI to Gen BI with Omri Kohl, CEO and Co-Founder of Pyramid Analytics

Industry Roundup #1: OpenAI vs Anthropic, Claude Computer Use, NotebookLM

#263 The Data to AI Journey with Gerrit Kazmaier, VP and GM of Data Analytics at Google Cloud

#262 Self-Service Business Intelligence with Sameer Al-Sakran, CEO at Metabase

#261 Low Code Data Science with Michael Berthold, CEO and co-founder of KNIME

#260 Harnessing the Power of Now With Real-Time Analytics with Zuzanna Stamirowska & Hélène Stanway

#259 Getting the Data For Your Data-Driven Decisions with Jonathan Bloch & Scott Voigt

#258 Machine Learning for Ride Sharing at Lyft, with Rachita Naik, ML Engineer at Lyft

#257 Can You Use AI-Driven Pricing Ethically? with Jose Mendoza, Academic Director & Clinical Associate Professor at NYU

#256 From Deep Learning to SuperIntelligence with Terry Sejnowski, Head of Computational Neurobiology at Salk Institute

#255 Not Only Vector Databases: Putting Databases at the Heart of AI, with Andi Gutmans, VP and GM of Databases at Google

#254 Career Skills for Data Professionals with Wes Kao, Co-Founder of Maven

#253 The Infrastructure Supporting the Data Revolution with Saad Siddiqui, General Partner at Titanium Ventures

#252 Is Big Data Dead? MotherDuck and the Small Data Manifesto with Ryan Boyd Co-Founder at MotherDuck

#251 The New Toolkit For CDOs with Adrian Estala, VP, Field Chief Data Officer at Starburst

#250 How Data and AI are Changing Data Management with Jamie Lerner, CEO, President & Chairman at Quantum

#249 Towards Self-Service Data Engineering with Taylor Brown, Co-Founder and COO at Fivetran

#248 Effective Product Management for AI with Marily Nika, Gen AI Product Lead at Google Assistant

#247 Aligning AI with Enterprise Strategy with Leon Gordon, CEO at Onyx Data

#246 AI and the Future of Art with Kent Keirsey, Founder & CEO at Invoke

#245 Can We Make Generative AI Cheaper? With Natalia Vassilieva, Senior VP & Field CTO & Andy Hock, VP, Product & Strategy at Cerebras Systems

#244 Using Data to Optimize Costs in Healthcare with Travis Dalton and Jocelyn Jiang President/CEO & VP of Data & Decision Science at MultiPlan

#243 No-Code LLMs In Practice with Birago Jones & Karthik Dinakar, CEO & CTO at Pienso

#242 Data Storytelling for Kids with Cole Nussbaumer Knaflic, Founder and CEO of Storytelling with Data

#241 Getting Generative AI Into Production with Lin Qiao, CEO and Co-Founder of Fireworks AI

#240 Generative AI in the Enterprise with Steve Holden, Senior Vice President and Head of Single-Family Analytics at Fannie Mae

#239 New Models for Digital Transformation with Alison McCauley Chief Advocacy Officer at Think with AI & Founder of Unblocked Future

#238 Data & AI for Improving Patient Outcomes with Terry Myerson, CEO at Truveta

#237 Guardrails for the Future of AI with Viktor Mayer-Schönberger, Professor of Internet Governance and Regulation at the University of Oxford

#236 Optimizing Sales Using AI with Ellie Fields, CPEO at Salesloft

#235 Developing Generative AI Applications with Dmitry Shapiro, CEO of MindStudio

#234 High Performance Generative AI Applications with Ram Sriharsha, CTO at Pinecone

#233 Generative AI at EY with John Thompson, Head of AI at EY

#232 How are Businesses Really Using AI? With Tathagat Varma, Global TechOps Leader at Walmart Global Tech

#231 Manage Your Data Better with Shinji Kim, CEO at Select Star

#230 Scaling Experimentation at American Express with Amit Mondal, VP & Head of Digital Analytics & Experimentation at American Express

#229 Inside Meta's Biggest and Best Open-Source AI Model Yet with Thomas Scialom, Co-Creator of Llama3

#228 Are Spreadsheets Still Relevant For Data Analysis? with Jordan Goldmeier, Author of Data Smart

#227 DataFramed x Analytics On Fire: Riding the AI Hype Cycle with Mico Yuk, Co-Founder at Data Storytelling Academy