The Alldus Podcast – AI Mentors

Today's guest is Ela Osterbeger, Director of Data Science at Deliveroo. Ela heads up the Data Science team that works on the Delivery algorithms, Consumer care, Experimentation platform and Rider pricing. Prior to exploring data on pizza and finding the fastest route from A to B on a bike, she ran a data team at The Guardian. Ela is passionate about developing Data Scientists and creating an inclusive work environment.

In the episode, Ela will discuss:

Developing her problem-solving skills,

Building trust & strong relationships with stakeholders,

Transitioning into a leadership role,

What she looks for when hiring Data Scientists,

Improving the customer journey at Deliveroo, 

and How AI & Data Science are impacting the delivery industry.

Today's guest is Howard Friedman, Chief Data Scientist, Author and Professor at Columbia University. Howard has a great interest in applying data science with specific experience leading teams in the corporate, academic and public sectors. He has created five startup companies, as well as serving as the director of a Fortune 100 company.

His industry experience has focused mainly on the healthcare, finance, telecommunications and retail sectors, including supporting operations areas of large private equity firms, His skills include leading analytic teams, communicating to senior executive and lay-audiences as well as teaching data science to technical and non-technical teams. He also enjoys writing data-related books.

In the episode, Howard will discuss:

What he loves about his job,

How to transition from academia to industry,

Showing executives how to successfully digitalize your business,

His passion for the potential of data & technology in healthcare,

Preparing for the real-world of data,

and Advice on how to start a career in Data Science.

Today's guest is Leo Grady, CEO at Paige who are the leading computational pathology company focused on building AI to transform the clinical diagnosis and treatment of cancer. Paige has brought together the world's leading experts in data science, computational pathology and clinical practice with the mission of advancing clinical diagnosis and treatment of cancer, improving patient outcomes and upgrading the pathologist’s experience.

Leo is a seasoned healthcare technology professional, with over 15 years of experience in developing and deploying advanced machine learning, computer vision and medical imaging technologies. He has led the company to receive Breakthrough Device designation by the U.S. Food and Drug Administration (FDA), the first such designation for AI in cancer diagnosis.

In the episode, Leo will share with you:

Paige’s impact in treating cancer patients

Advice on moving from academia to industry

How you improve your communication skills

Building the ideal Data Science team

How to be an effective leader

New trends in AI in healthcare that excite him

What’s in store for the future at Paige

Today's guest is Ted Tanner, CTO and Chief Architect at IBM Watson Health. IBM Watson Health aspires to improve lives by addressing the world's most pressing health challenges through data and cognitive insights. Ted is responsible for the technology and platform directives across all of Watson Health genomics, pharmacology and oncology as it pertains specifically to AI-based technologies.

From being responsible for C-Level P&L at publicly traded corporations such as Apple and Microsoft, Ted also co-founded startup PokitDok Inc. which was acquired by Change Healthcare in 2018. He also published numerous articles in leading technical magazines and holds several patents in the areas of blockchain, semantics, machine learning, signal processing and signal protection.

In the episode, Ted will discuss:

The interesting roles he’s enjoyed over the years,

Transitioning from engineering into running his own business,

Learns he has taken into his role at IBM Watson,

Exciting projects at IBM Watson Health, such as Genomics & IoT,

How to start a career in AI and Machine Learning,

And Mentors who guided him in his career.

Today's guest is Deepna Devkar, Vice President of Data Science & Engineering at CNN Digital where she heads up the Data Intelligence team in New York. She works to understand the CNN audience across devices and build recommendation systems that increase user engagement across all CNN brands.

Deepna has worked primarily in the media industry with strong experience building and leading cross-functional teams. She enjoys working on projects ranging across audience segmentation, content recommendation and personalization. In 2018, she was recognized for her contribution as Folio's Top Women in Media, Corporate Champion.

In the episode, Deepna will discuss:

Her interesting Data Science journey to joining CNN,

How they are applying Data Science to transform CNN Digital,

Transitioning from academia into industry,

Challenges to be aware of moving into Leadership roles,

How to build a successful Data Science team,

Advice on how to kick start your Data Science career,

And What she loves about her role at CNN.

Today's guest is Thomas Vincent, Head of Data Science at Getty Images. Thomas is an experienced statistician and programmer who is passionate about developing tools and pipelines to discover and retrieve underlying phenomenons and patterns in modern-day datasets. His work includes predictive analysis, NLP, data visualization and data analysis.

Getty Images is the most trusted and esteemed source of visual content in the world, with over 200 million assets available. They serve creative, business and media customers in almost 200 countries with images from over 200,000 contributors and hundreds of partners to provide comprehensive coverage of more than 130,000 news, sport and entertainment events around the globe.

In the episode, Thomas will discuss:

How they are using AI and Data Science at Getty Images,

Building and scaling a successful data science team,

What their ideal candidate looks like,

Why Getty Images is a great place to work,

How to stand out in the interview process,

What would he do differently if he was to start again,

and What’s in store at Getty Images in the near future.

Today's guest is Glenn Hofmann, Chief Analytics Officer at New York Life, one of America's largest mutual life insurance companies. For over 175 years, New York Life and their subsidiaries provide insurance, investment and retirement solutions. They believe in the importance of human guidance and intrusted relationships built on being there when customers need them most.

Glenn is an experienced Senior Executive in Insurance and Financial Services, who currently leads the corporate 50-person Data Science and AI function at New York Life. He is responsible for the foundations, relationships with many internal groups and a great variety of projects. He also leads their Data Science Academy, their internal education program for all New York Life employees.

In the episode, Glenn will discuss:

What he loves about his role at New York Life,

How he helped the company embrace a data-driven culture,

Exciting projects they are working on within the insurance industry,

Creating a successful data science team,

How to stand out in the job application process,

and Key learns in transitioning into a leadership position.

Today's guest is Paul Brenner, Head of Data Science at PlaceIQ where he defines the role of data science within the company. Paul ensures the team works on the most impactful projects, finds new ways that they can build new products that will fulfil their client's needs and helps promote education within the organization to keep PlaceIQ ahead of the competition.

Based in New York, PlaceIQ powers critical business and marketing decisions with location data, analytics and insights. Companies can uncover opportunities within the consumer journey by learning about and connecting with location-based audiences, measuring real-world ROI, and applying insights that drive intelligent marketing and successful business outcomes.

In the episode, Paul will discuss:

How he helped grow the Data Science function at PlaceIQ,

The different paths available for Data Scientists,

Advice on deciding when to apply Machine Learning in your business,

What to consider when making your next career move,

Building a high-performing data science team,

and His top interview tips.

Today's guest is Bob Bress, VP of Analytics and Business Intelligence at Freewheel. Bob is an Analytics leader with 15+ years of experience in developing and implementing complex analytical solutions for leading-edge technology and advertising programs. He is an expert in building Data Science and Business Intelligence teams from the ground up.

Freewheel empowers all segments of The New TV Ecosystem. They power the technology, data enablement, and convergent marketplaces required to ensure buyers and sellers can transact across all screens, across all data types and all sales channels, in order to ensure the ultimate goal in gaining the best results for marketers.

In the episode, Bob will discuss:

Freewheel’s current projects within TV advertising

What he loves about his job

How to add real business value through data science

Key traits to have for a successful data scientist

Building a successful data science team

Advice on how to interview more effectively

Future trends in media & advertising that excite him

Today's guest is Brigham Hyde PhD, Co-Founder and Advisor at Concerto Health AI, the Definitive Dataset for Real-World Data and the leader in AI Solutions for Precision Oncology. Enterprises integrate Concerto Health AI's Real-World Data, your data and third-party datasets to drive insights and decision-making across the enterprise.

Concerto Health AI's Advanced Patient Management Solutions bring patient management to guidelines, precision oncology decision support, and clinical research within a clinic or practise workflow to truly enable precision oncology and value-based care models.

In the show, Brigham will discuss:

What motivated him towards a career in Data Science

What he’s learned throughout his career

How they are applying AI at Concerto Health

3 key areas on how to become a great Data Scientist

Building an effective data science team

How to get involved within the HealthTech sector

Today's guest is Kenneth Schwartz, VP of Innovation and Analytics at HealthFirst. Healthfirst is a provider-sponsored health insurance company that serves more than 1.4 million members in downstate New York. Healthfirst offers top-quality Medicaid, Medicare Advantage, Child Health Plus, and Managed Long Term Care plans for their customers.

Kenneth is responsible for Healthfirst's Analytics Delivery, Data Science and Advanced Analytics teams delivering insights that improve the health of New Yorkers. Building capabilities in machine learning, text analytics and graph analysis that combined within a great user experience become first-class Data Products that empower business users throughout the company.

In the show, Kenneth will discuss:

How he transitioned into a career in tech and data science

The interesting work he does at Healthfirst

Challenges of working with legacy data

The benefits they are making to people’s lives

How to make the most out of AI and Data Science in your business

Today's guest is Gabi Steele, Data Visualization Manager at WeWork in New York City. The focus of Gabi’s work is at the intersection of data storytelling, community building and enterprise innovation. Gabi also co-designed and runs Data Cult, which is an innovative experience which empowers employees to solve real business problems using data.

Gabi leads data visualization and innovation at WeWork, which is the platform for creators, providing hundreds of thousands of members around the world with space, community, and services that enable them to do what they love and create their life's work. It is their mission is to create a world where people work to make a life, not just a living.

In the show, Gabi will tell you about:

How she became involved in the tech world

Interesting projects she is working on at WeWork

Effectively using your technical skills to improve business decision-making

Improving communication skills

How to get involved in data visualization and storytelling

Advice on how to become successful in your career

Today's guest is Ainul Huda, who is the Vice President of Analytics, Audience Development and Marketing at Global Media company Condé Nast in New York City. Ainul is an Executive with several years of leadership experience in Data & Analytics, Audience Development & Digital Growth, Strategy, Marketing, Business Planning, Financial Modeling and Operations.

Ainul supports content planning, drives audience growth, engagement & loyalty, as well as helping to maximize monetization across all of Condé Nast brands and functions. This is achieved through innovative marketing tactics & partnerships, comprehensive analysis & measurement, as well as supporting content, product & design optimization through recommendations and analytics.

In the show, Ainul will tell you about:

Developing a data-driven culture at Conde Nast

How to show stakeholders the business value of data analytics

The importance of communication skills

Building successful Data Science teams

The pros and cons of working within industry

Helpful tips on standing out in the interview process

Today's guest is Danti Chen, Head of Applied Data Science and Insights at Weber Shandwick in New York. Danti is responsible for leading the design and implementation of rigorous analytics using advanced data science techniques for client-oriented actionable insights and building out the Weber Shandwick's analytics function at a global scale.

Weber Shandwick is a leading global communications network that delivers next-generation solutions to brands, businesses and organizations in major markets around the world. Data-led, with earned ideas at the core, the agency deploys leading and emerging technologies to inform strategy, develop critical insights and heighten impact across multiple sectors.

In the episode, Danti will share:

Advice on moving from academia to industry

What she loves about her job

Challenges to be aware of working as a Data Science

How to improve your communication skills

Building a successful data science team

The benefits Weber Shandwick bring to clients

What’s in store for Weber Shandwick in the near future

 Today's guest is JT Kostman. JT has been recognized by his peers, the press and professional associations as one of the world's leading experts in Applied Artificial Intelligence and Cognitive Computing. A highly sought-after speaker, writer, and advisor, JT has earned a reputation for his ability to demystify frontier technologies and for developing practical, actionable, cost-efficient data solutions.

In the public sector, JT has hunted terrorists for U.S. Intelligence Agencies, tracked criminal networks for the FBI, advised on analytic strategies for the Department of Defense and led social media analysis for the 2012 Obama Campaign. In his earlier life, he served as a Paramedic, Police Officer, Deep-Sea Rescue Diver, and as a team leader with the U.S. Army Special Forces.

JT has led the development of industry-changing solutions while serving as Chief Data Officer for Time Inc., Chief Data Scientist for Samsung, and as an advisor to organizations ranging from tech startups to the Fortune 500. He has also has guided substantial investments in frontier technologies while serving as a Board Member of a PE/VC fund and as an advisor to numerous hedge funds, family offices, and institutional investors. 

In the episode, JT will tell you about:

• His unique journey as a Data Scientist 
• Building a great Data Science team 
• 6 Key tips on how to be a successful Data Scientist 
• The importance of communications and storytelling 
• Focus on what you’re great at 
• What you need to know for a career in Data Science 

 Today's guest is Uday Kamath, Chief Analytics Officer at Digital Reasoning. Uday is experienced in building large analytics team, products, commercialization and technical sales and has a great interest in Machine Learning theory and practical implementations in NLP and Speech Analysis.

Uday is responsible for Digital Reasoning's Machine Learning Products and Innovation. By leveraging AI Techniques such as Deep Learning and Statistical Machine Learning, this allows them to create improving human communications through speech, images and text in several domains.

In the show, Uday will give his thoughts on:

• How he became attracted to the world of Data Science
• The work he does at Digital Reasoning
• Interesting projects within human trafficking, healthcare and finance
• New trends we should embrace such as XAI and Unsupervised Learning
• Building a great Data Science team
• What a great Data Scientist looks like

In today's episode, our guest is Ilya Meyzin. Ilya is the Vice President of Data Science Strategy and Operations at Dun & Bradstreet in New York.  Ilya leads innovation initiatives such as graph network analysis, anomaly detection, unstructured text synthesis at Dun & Bradstreet as well as business development efforts and delivery of selected customer projects.

Ilya has a has corporate strategy, business transformation and data science experience spanning 15 years in multiple industries, countries and enterprise domains. He previously advised Fortune 500 and private equity clients on growth strategy, market entry and conducted commercial due diligence on businesses ranging from start-ups to multi-billion multinationals.

Ilya has also participated in briefings to the President’s National Security Telecommunications Advisory Committee on Big Data analytics and also contributed to a white paper on Big Data, which was delivered to the Chinese State Council. Recently, he also delivered a presentation to senior government decision makers on AI trends in the private sector.

In the show, Ilya will tell you about:

• How he became involved in Data Science
• D&B’s data science projects in advanced anomaly detection
• Data Science: hype v reality
• The top skills you need for a career in Data Science
• The importance of understanding your business needs
• Advice on how to improve your communication skills
• How to be a stand out Data Scientist

Today's guest on the show is Sidney Madison Prescott, who is the Vice President of Intelligent Process Automation at BNY Mellon. BNY Mellon partner with internal business units to strategize ways to transform business processes through robotic automation. As a result of Intelligent Process implementations, employees are freed up from general swivel chair activities to handle more value add tasks for their extensive clientele.

After spending the past few years of her career in the cognitive automation space, Sidney knows what drives successful global robotics implementations and has excelled at delivering projects resulting in a seven-figure return on investment stats for Fortune 250 companies across the globe.

Sidney has filled many prominent leadership positions in support of women in technology, with an emphasis on driving mentorship programs for young professionals. This includes a stint with the American Association of University Women as a campus chapter President. Sidney was also recently nominated by the USA Women in Payments awards committee and a group of her peers, as a coveted “Rising Star in Payments” 2019 award recipient.

In the episode, Sidney will tell you about:

• What her work involves at BNY Mellon
• How she got involved in a Data Science career
• Making the transition from academia to industry
• How to build and manage the ideal Data Science team
• Redefining the stereotypical IT professional
• Advice on bringing your unique offering to a business

 Today's guest is Jim Harper, who is the co-founder and Chief Operating Officer at Sonde Health. Sonde Health is a digital medicine company based in Boston who are developing a voice-based technology platform with the potential to transform the way we monitor and diagnose mental and physical health.

Sonde Health's goal is to build new ways to follow mental and physical health to help you and your care team understand your health more completely so you know when and how to get the right help. They have the potential to advance their understanding of what it means to be and feel well.

In the show, Jim will tell you about:

• His interesting research in biotechnology
• Making the move from academia to industry
• Top tips on working with the problem you are looking to solve
• The importance of working with small data
• Being passionate about your career
• The fascinating projects at Sonde Health

Today's guest is Eben Esterhuizen who is the Senior Director of Data Science at Schireson in New York. Schireson is a leading data science firm delivering transformative solutions in marketing and media.

Schierson believes the transformational potential of data science requires the combination of superior technical capabilities and deep business context. This allows them to solve key business issues for clients and drive meaningful improvements to revenue and profitability.

Eben has extensive experience developing Python applications and an in-depth understanding of machine learning, statistical analysis and natural language processing. He also has a strong managerial and sales background with senior level-local and international experience. 

In the show, Eben will discuss:

• How he became interested in a career in AI and Machine Learning
• Interesting projects they are working on at Schireson
• The good and bad with the rise of Artificial Intelligence in society
• The growing trend of Explainable AI
• Tools and techniques needed to upskill into XAI
• How to become a stand out Data Scientist

Today’s guest is Dr. Michael Ferrari. Michael is the Founder, Managing Partner & Principal at Atlas Research Innovations. They provide applied research, scientific analysis and bespoke services to clients in the private and public sectors, government and academia with an emphasis on climate, risk, agriculture, environment, energy, water, IoT & space.

Michael has spent nearly two decades as a scientist, engineer and economist in a wide variety of industries. Most of this work falls at the food-water-energy-infrastructure nexus and encompasses Data Science, Spatial Informatics, AI/Machine Learning, Financial & Physical Risk, Smart City & Earth Observation Technologies, and more.

Michael earned his PhD from Rutgers where his research focused on better understanding the Industrial/Environmental interface and the Earth/Space/Biosphere complex from both information systems and an evolutionary perspective.  His doctoral work in numerical modelling and applied mathematics was supported by the NASA Goddard Institute for Space Studies.

In today’s episode, Michael will share with you:

• His interesting work at Atlas Research Innovations
• What he loves about his job
• Key tips on making the move from academia to industry
• The exciting world of IoT
• How to effectively apply AI within your business
• Building a great Data Science team
• The importance of being involved in the Data Science community

Today’s guest on the show is Kendell Timmers. Kendell is the VP of Advertising Analytics at the New York Times. Kendell is a digital data expert and problem solver with a deep domain knowledge across ad tech. She also has a  passion for developing talent having built a robust group of analysts focused on advertising data products, testing, and analytics. 

Kendell is also responsible for creating innovative data products to serve the advertising needs at New York Times. She also leads the design of campaign-level analytics products to provide key insights to their advertisers as well as partnering with the tech, advertising, marketing and newsroom teams to align on the testing strategy for the advertising experience. 

In the show, Kendell will tell you about:

• What attracted her to a career in AI and Data Science
• How the New York Times are maximising their revenue through Advertising
• The impact of AI and Machine Learning at the New York Times
• What she loves most about her job
• Pros and Cons of a career in Data Science
• Amazing tips on how to interview more effectively

In today's episode, host JP Valentine is joined by Alex Siegman, AI Technical Program Manager at Dow Jones in New York City. Alex is an experienced leader in AI and Machine Learning and he is focused on managing projects, products and people to successfully design, develop and deploy revenue-driving technologies.

In the show, Alex will share with you:

• How he became involved in a career in Artificial Intelligence
• Moving from Artificial Narrow Intelligence into Artificial General Intelligence
• How Dow Jones are leveraging AI within their organisation
• Advice on how to forge a career in AI and Data Science
• Transitioning into a Data Science career from a unique background
• What a great Data Scientist looks like

Today's guest is Michael Krigsman, who is an industry analyst and host of CXO Talk. He is recognized internationally as an analyst, writer, and commentator and has been recognised as one of the top executive interviewers and panel discussion leaders in the world.

In the show today, Michael will tell you about:

• Creating CXO Talk
• His learnings from interviewing business leaders
• The importance of understanding the problem you want to solve
• His favourite examples of Applied AI in industry
• Advice on how to apply AI within your organization

Today’s guest is Ashleigh Faith, who is the Director of Data and Semantic Enrichment in EBSCO Information Services. Ashleigh specializes in multilingual search and annotation optimization strategies focused on semantics, interoperability, natural language and realized through ontologies.

Her domain focus is STEM subject matter -particularly in transportation, mechanical, medical, and electrical engineering technology. Ashleigh’s novel techniques for machine learning have resulted in an F-measure of 89% based on STEM vernacular and she is also well versed in managing technical IP as well as leveraging data intelligence to its highest potential.

In the episode, Ashleigh will tell you about:

• Interesting research into auto linguistics on words and languages
• Advice on making the move from academia to industry
• How to influence the key decision makers
• The importance of creating opportunities and building relationships
• Her work in semantic enrichment at EBSCO
• The future of AI and Machine Learning on IoT and Cybersecurity

Today’s guest on the show is Charlie Berg, VP of Engineering at Avant-Garde Health. Charlie has been actively engaged in building and leading teams that have successfully brought new technology products to market in the energy, healthcare, design industries as well as discrete manufacturing markets, such as entertainment and financial services.

In his current role, Avant-Garde Health partner with healthcare providers to optimize long-term patient outcomes and costs. They create tools to expose and influence the discrete decisions that shape each patients’ path through the healthcare system. This translates to working with significant clinical, financial and operational datasets to model, analyze and inform the provision of care.

In this episode, Charlie will discuss:

• The great work going on at Avant-Garde Health
• Advice to figure out the problem you are looking to solve
• What Data Scientists can learn from Engineering Projects
• Learning from your successes and failures
• Being involved with the Boston CTO Club

Today’s guest on the show is Ben Taylor, co-founder and Chief Data Officer at Ziff AI. Ben’s mission is to further the boundaries of what is possible with data science. His current project combines the power of genetic programming with deep learning to automate network design and he believes human expertise and creativity are being replaced by powerful new methods.

Ben is best known for my machine learning work with the data science community and with HireVue. Ben was Hirevue’s first data scientist and was able to partner with engineering to build out one of the first video interview prediction engines called HireVue Insights. It has since seen fantastic use cases and growth where large Fortune companies are dramatically reducing time to hire from six weeks to just six days.

In this episode, Ben will tell you about:

• How Ben got involved in data science and the work he does at Ziff AI
• How AI and Data Science can help improve your business
• Advice to data scientists and companies on how to add the most value
• How to influence data science within your organization
• Where the future of AI and Data Science is heading in the near future
• Creating a discussion on AI Ethics

Today’s guest is David Ledbetter, who is the Senior Data Scientist at the Children’s Hospital Los Angeles. David is an experienced data scientist and deep learning researcher that works closely with clinicians to bridge the gap between healthcare professionals and data scientists.

David is focused on fostering communication and enabling collaborations that are able to solve real clinical problems that require significant cross-disciplinary expertise. He also has a passion for training aspiring data scientists looking to break into the healthcare sector to make a meaningful impact.

In the episode, David will tell you about:

• Building the foundations at the Children’s Hospital in Los Angeles
• Examples of how data science affects patients lives for the better
• Having the right onboarding process for moving into industry
• The importance of effective communications
• How AI will change the future of the healthcare sector

Today’s guest Benjamin Lohnes, Principal Analytic Consultant at Epsilon. Ben is an experienced Database marketing professional with experience in developing and implementing customer relationship and customer life-cycle marketing initiatives, email marketing, customer segmentation, broad business analysis, technical end-user application training, and medium to large technical project management.

He has years of experience in managing highly technical people, projects, and resources. His current focus is codifying the way in which stories are told across a variety of disciplines, with the ultimate goal being to find the common threads that can be used in organizations to tell clearer, more relevant stories that cascade throughout the organization ending with the most impactful story for the client.

In the show today, Ben will tell you about:

• Interesting work he does at Epsilon
• The importance of communication and storytelling
• Understanding who your audience is to achieve ROI
• Top tips on how to add real value as a Data Scientist
• Why you should share your knowledge with others

In this episode, our guest is Zhen Wang. Zhen is an experienced health and marketing data scientist who leads the data science team to support direct mail and display programs at Wayfair. She is responsible for leading Wayfair’s innovations in customer-level real-time bidding, uplift modeling, personalized display advertisement and 3rd party data implementation.

Zhen moved to Boston for the Insight Health Data Science program and eventually joined Wayfair when she got really excited about the data challenges and learning opportunities at their Data Science team. She is also an avid science fiction reader and also likes to spend her free time thinking about ideas to apply machine learning to understand principles of traditional Chinese medicine.

In the episode, Zhen will share with you:

• Why she loves working in Data Science
• 3 key tips on making the move from academia into industry
• How Wayfair use Data Science to influence the customer journey
• Advice on how to interview more effectively
• Building the ideal Data Science team

Today’s guest is Hendrik Brackmann, Head of Data Science at Finiata based in Berlin. Finiata is making a huge impact in the financial industry by providing working capital financing for freelancers and SME’s over a fully automated data-driven scoring technology, which provides same-day decision-making and liquidity.

Having successfully expanded to Poland and aiming to further grow throughout Europe, it is Finiata’s vision to become the leading European tech company, by enabling freelancers and SME’s to reap the rewards of their hard work immediately and celebrate instant payments of their invoices.

In the show today, Hendrik will tell you about:

• Interesting projects he is working on at Finiata
• Advice on making the move from academia to industry
• How to influence AI and Data Science within your company
• The importance of a data-driven environment
• Building a Data Science team
• How to make the most out of your Data Science career

Today’s guest is Favio Vazquez. Favio has a strong passion for data science, machine learning and big data. He loves new challenges, working with a good team and having interesting problems to solve by using his knowledge and expertise in science, data analysis, visualization and automatic learning to help the world become a better place.

He is the creator of Ciencia y Datos, which brings data science into the Spanish world with posts, articles, webinars and courses. Favio is also a Data Science course instructor at Business Science University where he created the Data Science for Business with Python course. He delivers content that is easy to learn and apply to business and organizations, as well as helping you develop solutions for real-world, large-scale problems.

In the show today, Favio will tell you about:

• How he became so passionate about Data Science
• The importance of an open-source community
• How to add real value to your Data Science career
• Understanding the KPI’s and goals of your business
• Exciting courses you can get involved in from 2019
• The benefits of having a Data Science team in your company

Today’s guest is Kristen Kehrer, who is the founder of Data Moves Me. Kristen started her journey to becoming a Data Scientist without knowing it but wanted to be analyzing data, building models, and helping to guide business decisions. Since 2010, she has utilized Data Science across multiple industries, including the utilities, healthcare, and eCommerce

Prior to attaining her Master’s Degree, she was a high school math teacher and always enjoyed tutoring, coaching and mentoring. Her passion is leveraging her experience with the end-to-end job search for Data Science positions to help others effectively market their skills to land a job in this field. The coaching she had personally received was invaluable to how she approached the job search and is thrilled to share her expertise with others.

In the episode, Kristen will share with you:

• The importance of communication and influence
• The role of Data Science in business
• Challenges to be aware of within data science
• Key Questions to prepare for in interviews
• How to structure your resumé
• Tips and courses she offers on her blog Data Moves Me

Today’s guest is Justin Fortier, who is a Principal Data Scientist with ViralGains. Justin helped build the AI team at ViralGains, which is a video advertising platform that enables marketers to engage people with relevant brand stories in the venues and contexts that people most favor.

Justin is an accomplished AI, machine learning and data science executive with more than 20 years of experience developing actionable insights and recommendations, which have driven profitable growth for several industry leaders. Justin has also built world-class data science teams and regularly speaks about the equal effectiveness of both business and technology.

In this episode, Justin will discuss:

• What he loves about his job as a Data Scientist
• How to add value to your business using Data Science
• Making the move from working in Academia into Industry
• Advice on how to make the most of your Data Science career
• The importance of focusing on the problem you are looking to solve

Today’s guest is James Aylward, who is the SVP , Head of Data Product at Pluralsight in Boston. Pluralsight are the technology learning platform that helps technology leaders evaluate the technical abilities of their teams, align learning to key business objectives and close skills gaps in critical areas like cloud, mobile, security and data.

James leads the Pluralsight IQ and IRIS AI teams that consist of Product, Design, Data Science, MachineLearning and Engineering function. He is committed to democratizing technology skills through the application of human-centred data science product development. Pluralsight are trying to change the way the world learns technology skills.

In the episode, James will discuss:

• How to understand your customer’s needs
• Making the most out of your Data Science team
• How AI will transform the customer experience
• Staying ahead of the game
• How to start applying AI within your business

Today’s guest is Keith Santarelli. Keith is a Data Science R&D Team Leader at Agero. He has over a decade of experience as an innovative thought leader in the development of novel signal processing algorithms for real-world systems. Keith has broad leadership experience and was previously responsible for multiple mission-critical projects for the United States Armed Forces.

In the episode, Keith will share:

• Interesting projects, such as detecting road accidents in real-time
• Making the transition from Academia to Industry
• What makes a great Data Scientist?
• His favourite Interview Questions
• Developing good Communication skills