AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

Artificial intelligence has been on the horizon for over seventy years. In fact, the term AI was officially coined in 1956. So, why does it seem so close but also so unattainable? In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss the question: Are we still repeating the same mistakes with AI?

Continue reading Are We Still Repeating the Same Mistakes with AI? [AI Today Podcast] at Cognilytica.

AI projects aren’t dying because of big problems. Rather it’s the small things that are causing projects to fail. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss what iteration really means for AI projects.

Continuous Model Iteration

We always say that AI projects are never set it and forget it.

Continue reading What Iteration Really Means with AI [AI Today Podcast] at Cognilytica.

Move Fast and Break Things worked for high flying Silicon Valley startup megatech companies but it doesn’t work for AI projects. Between 70%-80% of AI projects are failing to meet their objectives. With stats like this, it’s clear that breaking things isn’t leading to success in AI. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer dig into this topic.

Continue reading Why “Move Fast and Break Things” Doesn’t Work for AI [AI Today Podcast] at Cognilytica.

One of the most vexing problems in even today’s highly capable intelligence systems is for systems to actually understand what they are generating as output. Repeating a pattern, even a sophisticated pattern, while showing good knowledge of the pattern, doesn’t really help if the system doesn’t really understand what it is generating.  In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss this DIKUW pyramid and why the “U” understanding level is a critical, but often left out, layer of the pyramid.

Continue reading The Necessary (and often Missing) “U” in the DIKUW Pyramid [AI Today Podcast] at Cognilytica.

Soft skills are increasingly becoming important for AI, and in particular Generative AI. Collaboration can accelerate learning, creativity, and innovation. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss the critical skill of collaboration.

Why Collaboration skills are needed for AI

In this episode we discuss why collaboration skills are important to improve your interaction with AI systems.

Continue reading Soft Skills for AI: Why Collaboration is Key for AI Success [AI Today Podcast] at Cognilytica.

AI is being adopted by many organizations and they are seeing dramatic improvement, increased productivity, and cost savings. However, government at all levels, including local governments, are also seeing dramatic improvements when adopting AI. On this episode of AI Today we interview Roxy Ndebumadu. She is the District 4 Councilmember at Bowie, MD City Council.

Continue reading AI in Local Government: Interview with Roxy Ndebumadu [AI Today Podcast] at Cognilytica.

Effective communication is vital for enhancing both human-to-machine and human-to-human interactions with AI. Clear communication ensures more accurate and optimal outputs from AI systems. Additionally, AI tools can improve our communication skills by helping us better articulate and present our ideas and creative needs. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer continue with the soft skills series and discuss the soft skill of communication.

Continue reading Unlocking the power of Communication with AI [AI Today Podcast] at Cognilytica.

Creativity is a uniquely human trait that allows for the expression of individuality and a range of emotions. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer continue with our soft skills series discussing creativity.

AI, especially generative AI, is transforming personal and professional tasks like writing, report generation, and image creation, making them easier and more accessible.

Continue reading Soft Skills for AI: The Necessity & Enhancement of Creativity with AI [AI Today Podcast] at Cognilytica.

On May 17, 2024, Governor Jared Polis signed SB24-205, a pioneering law to protect Colorado consumers using AI systems. The legislation mandates transparency and accountability, ensuring AI technologies are developed ethically and fairly. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer interview Rep Manny Rutinel. He is a Colorado State Representative and a Prime Sponsor of the bill in the House.

Continue reading AI Accountability & Colorado’s Trailblazing AI Consumer Law: Interview with Rep Manny Rutinel [AI Today Podcast] at Cognilytica.

Generative AI has significantly influenced content creation, data analysis, and interactive communication, but there is a growing need for intelligent systems to perform tasks with minimal human input. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer dicuss the concept of Agentic AI, including what it is, and why it’s becoming popular.

Continue reading The Rise of Agentic AI [AI Today Podcast] at Cognilytica.

Companies of all sizes across the globe in just about every single industry are looking to see how AI can provide them a competitive edge. They want AI to provide efficiencies and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity in the field of AI for project professionals who are CPMAI certified and follow the CPMAI methodology.

Continue reading Applying CPMAI Methodology to AI Projects: Interview with Laetitia Callegari [AI Today Podcast] at Cognilytica.

The widespread adoption and use of generative AI means that folks no longer need to be an expert in “hard” skills such as statistics & probability, calculus, or linear algebra to get value from using Generative AI. Instead, the need to use soft skills such as communication, curiosity, problem solving, and adaptability is becoming more important.

Continue reading Why Critical Thinking is Crucial for AI [AI Today Podcast] at Cognilytica.

The Four-Part AI-Enabled Vision of the Future

In 2018, when at the time we thought AI hype couldn’t get any more hype-y, we at Cognilytica spent time thinking about what the broad implications of AI would be on our individual lives, our business and work lives, and on society in general. This thinking led us to put together our four-part vision we called the “AI-Enabled Vision of the Future”.

Continue reading Cognilytica’s AI-Enabled Vision of the Future: Pervasive Knowledge [AI Today Podcast] at Cognilytica.

The Four-Part AI-Enabled Vision of the Future

In 2018, when at the time we thought AI hype couldn’t get any more hype-y, we at Cognilytica spent time thinking about what the broad implications of AI would be on our individual lives, our business and work lives, and on society in general. This thinking led us to put together our four-part vision we called the “AI-Enabled Vision of the Future”.

Continue reading Cognilytica’s AI-Enabled Vision of the Future: Enhancing the Human Experience [AI Today Podcast] at Cognilytica.

The Four-Part AI-Enabled Vision of the Future

In 2018, when at the time we thought AI hype couldn’t get any more hype-y, we at Cognilytica spent time thinking about what the broad implications of AI would be on our individual lives, our business and work lives, and on society in general. This thinking led us to put together our four-part vision we called the “AI-Enabled Vision of the Future”.

Continue reading Cognilytica’s AI-Enabled Vision of the Future: AI-Augmented Everything [AI Today Podcast] at Cognilytica.

The Four-Part AI-Enabled Vision of the Future

In 2018, when at the time we thought AI hype couldn’t get any more hype-y, we at Cognilytica spent time thinking about what the broad implications of AI would be on our individual lives, our business and work lives, and on society in general. This thinking led us to put together our four-part vision we called the “AI-Enabled Vision of the Future”.

Continue reading Cognilytica’s AI-Enabled Vision of the Future: The AI-Enhanced Organization [AI Today Podcast] at Cognilytica.

Back in 2018, when at the time we thought AI hype couldn’t get any more hype-y, we at Cognilytica spent time thinking about what the broad implications of AI would be on our individual lives, our business and work lives, and on society in general. This thinking led us to put together our four-part vision we called the “AI-Enabled Vision of the Future”.

Continue reading Cognilytica’s AI-Enabled Vision of the Future – UPDATED [AI Today Podcast] at Cognilytica.

Generative AI is one of the most accessible forms of AI currently available. While in the past, you might have used AI without knowing it, you can use Generative AI purposefully in ways that have immediate and dramatic impact on your daily life. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss what soft skills are necessary to get what we want out of Generative AI.

Continue reading Prompt Engineering Best Practices: Soft Skills [AI Today Podcast] at Cognilytica.

AI, and in particular generative AI, is having a profound impact on just about every industry. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer interview Saby Waraich to discuss AI’s impact on Project Management. Saby is CIO at Clackamas Community College and and speaking at the PMI Austin, TX Professional Development Day May 2, 2024.

Continue reading AI’s Impact on Project Management: Interview with Saby Waraich [AI Today Podcast] at Cognilytica.

Effective communication is an important skill to have. And, in this AI-era it’s more important than ever. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer interview Patti DeNucci. She is an author, speaker, workshop facilitator, consultant and keynoting the PMI Austin, TX Professional Development Day May 2, 2024.

How does AI impact communication?

Continue reading AI’s Impact on Communication skills: Interview with Patti DeNucci [AI Today Podcast] at Cognilytica.

Experimenting, testing, and refining your prompts are essential. The journey to crafting the perfect prompt often involves trying various strategies to discover what works best for your specific needs. A best practice is to constantly experiment, practice, and try new things using an approach called “hack and track”. This is where you use a spreadsheet or other method to track what prompts work well as you experiment.

Continue reading Prompt Engineering Best Practices: Hack and Track [AI Today Podcast] at Cognilytica.

Plugins for Large Language Models (LLMs) are additional tools or extensions that enhance the LLM’s capabilities beyond its base functions. In this episode hosts Kathleen Walch and Ron Schmelzer discuss this topic in greater detail.

Can I use plugins with ChatGPT?

Plugins can access external databases, perform specific computations, or interact with other software and APIs to fetch real-time data, execute code, and more.

Continue reading Prompt Engineering Best Practices: Using Plugins [AI Today Podcast] at Cognilytica.

As folks continue to use LLMs, best practices are emerging to help users get the most out of LLMs. OpenAI’s ChatGPT allows users to tailor responses to match their tone and desired output goals. Many have reported that using custom instructions results in much more accurate, precise, consistent, and predictable results. But why would you want to do this and why does it matter?

Continue reading Prompt Engineering Best Practices: Using Custom Instructions [AI Today Podcast] at Cognilytica.

Companies of all sizes in every industry are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide them a competitive edge. They want to provide efficiencies and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity in the field of AI for professionals who are CPMAI certified and follow the CPMAI methodology.

Continue reading Applying CPMAI Methodology in the real world: Interview with George Fountain, Booz Allen Hamilton (BAH) [AI Today Podcast] at Cognilytica.

To improve the reliability and performance of LLMs, sometimes you need to break large tasks/prompts into sub-tasks. Prompt chaining is when a task is split into sub-tasks with the idea to create a chain of prompt operations. Prompt chaining is useful if the LLM is struggling to complete your larger complex task in one step. 

Continue reading Prompt Engineering Best Practices: What is Prompt Chaining? [AI Today Podcast] at Cognilytica.

LLMs are basically big “text predictors” that try to generate outputs based on what it expects is the most likely desired output based on what the user provides as the text-based input, the prompt. Prompts are natural language instructions for an LLM provided by a human so that it will deliver the desired results you’re looking for.

Continue reading Prompt Engineering Best Practices: Using a Prompt Pattern [AI Today Podcast] at Cognilytica.

AI is helping to re-imagine experiences of all sorts, including air travel. At the 2024 SXSW Conference and Festivals Bernadette Berger, who is Director of Innovation at Alaska Airlines presents on “The Sky’s the Limit: How AI will Re-imagine Airports”. In this episode of the AI Today podcast hosts and AI thought leaders Kathleen Walch and Ron Schmelzer have the opportunity to interview Bernadette.

Continue reading How AI will Re-imagine Air Travel: Interview with Bernadette Berger, Alaska Airlines [AI Today Podcast] at Cognilytica.

AI is having an impact on every industry, including healthcare. AI’s impact in the practice of medicine is helping to reshape the practice of medicine both now, and in the future. In this episode of the AI Today podcast we interview Dr. Jag Singh. He is a Professor of Medicine at Harvard Medical School, focusing on the application of AI in the practice of medicine.

Continue reading AI’s impact in the practice of medicine: Interview with Dr. Jag Singh, Mass General Brigham [AI Today Podcast] at Cognilytica.

During the SXSW 2024 event, Wei Li presented on AI Everywhere with Software and Hardware. In this episode of the AI Today podcast we interview Wei Li. He is VP/GM of the AI Software Engineering Team at Intel.

He shares with what insights from that talk and what he means by AI being everywhere in both hardware and software.

Continue reading AI Everywhere with Software and Hardware: Interview with Wei Li, Intel [AI Today Podcast] at Cognilytica.

As organizations continue to adopt AI the idea of innovation and sustainability are becoming important conversations. Intel wants to accelerate AI adoption by lowering barriers to entry for customers. In this episode of the AI Today podcast we interview Nuri Cankaya. He is the VP of AI Marketing at Intel.

Nuri sheds light on the myriad challenges faced by companies as they navigate the integration of AI with real-world data.

Continue reading Lowering Barriers to Entry for AI: Interview with Nuri Cankaya, Intel [AI Today Podcast] at Cognilytica.

AI is having an impact on just about every industry and healthcare is no exception. In this episode of the AI Today podcast Cognilytica AI thought leaders Kathleen Walch and Ron Schmelzer interview Dr. Jesse Ehrenfeld. He is President of the American Medical Association (AMA). He also recently spoke at the 2024 SXSW Conference and Festivals.

Continue reading AI’s Impact on Healthcare: Interview with Dr. Jesse Ehrenfeld, AMA [AI Today Podcast] at Cognilytica.

The people side of AI is changing. Generative AI is reshaping how teams brainstorm, collaborate, and embrace the future. In this episode of the AI Today podcast we interview Ian Beacraft who is CEO at Signal and Cipher, and also CPMAI certified.

Is AI helping or hurting society?

In recent years the idea of responsible, ethical, and trustworthy AI has gained a lot of attention.

Continue reading The People Side of AI: Interview with Ian Beacraft, Signal and Cipher [AI Today podcast] at Cognilytica.

The Explainable AI Layer of the Cognilytica Trustworthy AI Framework addresses the technical methods that go into understanding system behavior and make black boxes less so. In this episode of the AI Today podcast Cognilytica AI experts Ron Schmelzer and Kathleen Walch discuss the interpretable and explainable AI layer.

The Explainable AI Layer

Separate from the notion of transparency of AI systems is the concept of AI algorithms being able to explain how they arrived at particular decisions.

Continue reading Explainable AI Concepts [AI Today Podcast] at Cognilytica.

Who is on the AI Team?

Continue reading Who is on the AI Team? [AI Today podcast] at Cognilytica.

Anyone looking to use and/or develop AI systems need ways that maintain trust, provide visibility and transparency, and utilize processes and methods that can provide greater oversight and accountability for potent AI systems that need to address – the layers of trustworthy AI. In this episode of the AI Today podcast Cognilytica thought leaders Kathleen Walch and Ron Schmelzer go over the Governed AI layer of the Cognilytica Trustworthy AI Framework.

Continue reading Governed AI Concepts [AI Today Podcast] at Cognilytica.

What are you really spending on in an AI Project? This is a question we often get asked. So, we wanted to spend some time on this podcast to discuss how to determine AI project costs.

First, it’s important to remember that it all comes down to scope. Our motto: Think Big. Start Small.

Continue reading Determining AI Project Costs [AI Today Podcast] at Cognilytica.

AI system transparency is about how we manage and run our AI systems. Transparency needs to address how you plan to provide visibility or transparency into how AI systems are created or applied. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the transparent layer of AI as part of Cognilytica’s Trustworthy AI Framework.

Continue reading Transparent AI Concepts [AI Today Podcast] at Cognilytica.

The best practice for any high risk, emerging technology project with ill-defined goals is: Think Big. Start Small. Iterate Often. But, what does that really mean? How do you think big? And how do you start small? What does iteration look like? And how does this connect to project scope? In this episode of the AI Today podcast we discuss what it means to think big when it comes to AI.

Continue reading Properly Scoping AI Projects [AI Today Podcast] at Cognilytica.

In the context of technology adoption, “crossing the chasm” refers to the pivotal moment when an emerging technology moves beyond the early adopters and innovators phase to reach the early majority of users. This concept, popularized by Geoffrey A. Moore in his book “Crossing the Chasm,” highlights the gap or “chasm” that exists between the initial acceptance of a technology by enthusiasts and visionaries and its broader acceptance by a more pragmatic, mainstream market.

Continue reading Has AI Crossed the Chasm? [AI Today Podcast] at Cognilytica.

What is pseudo AI?

While AI is all about machines that have the intelligence like people, Pseudo AI or “AI washing” is when a company or product claims that AI is being used for a specific task or feature, but in reality, it’s people doing that task. In the startup world, “faking it until you make it”, is a common practice.

Continue reading Pseudo AI: Still a Thing, Still a Problem [AI Today Podcast] at Cognilytica.

What is Data Debt?

Organizations are awash with data. And data has been growing at organizations for decades. Data is accumulating across many different systems, processes, and as organizations evolve, merge, and change. What comes out of this is the idea of data debt, which is the accumulation of data-related problems over time as a result of the accumulation of data systems.

Continue reading AI Education Series: Data Debt [AI Today Podcast] at Cognilytica.

What is a responsible AI?

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas.

Continue reading Trustworthy AI Series: Responsible AI Concepts [AI Today Podcast] at Cognilytica.

What can possibly go wrong when you embed someone else’s AI models in your systems? This episode of the AI Today podcast aims to answer this question. And, provide alternative options to Open Source AI. Despite the increasingly walled garden that is becoming the Large Language Models (LLMs) such as OpenAI’s ChatGPT, organizations are creating and embedding AI solutions powered by third-party models they have little visibility and control into.

Continue reading The Increasingly Anti-Competitive World of AI and Open Source AI [AI Today Podcast] at Cognilytica.

What are the 5 ethics in artificial intelligence?

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly.

Continue reading Trustworthy AI Series: Ethical AI Concepts [AI Today Podcast] at Cognilytica.

What is a Chief AI Officer (CAIO)?

There has been a lot of talk lately, including a new executive order in the US, about the need for a Chief AI Officer. But, what is this role? And, is it really needed? We wanted to spend some time in today’s podcast revisiting a topic we first wrote about in 2019.

Continue reading Do you need a Chief AI Officer? [AI Today Podcast] at Cognilytica.

In an era where Artificial Intelligence is revolutionizing various industries, professionals equipped with the right skills and certifications are in high demand. The Certified Project Management for AI (CPMAI) certification is a game-changer for those seeking to excel in planning, managing, and executing AI and ML projects. And for those looking to grow critical AI and data skills.

Continue reading Growing Key AI and Data Skills with CPMAI: Interview with Selvie Thevathasan [AI Today Podcast] at Cognilytica.

How can AI be trustworthy?

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough for organizations. You need to know how to build, use, and interact with these systems ethically and responsibly.

Continue reading The Layers of Trustworthy AI Revisited [AI Today Podcast] at Cognilytica.

It’s hard to have a conversation about AI these days without the topics of Generative AI and Large Language Models (LLMs) coming up. And, Large Language Models (LLMs) have been proving useful for a variety of things such as helping write text, write code, generate images, and help augment human workers. However, as people are using LLMs, they are demanding even greater accuracy and relevance to their specific industry and/or topic area.

Continue reading AI Glossary Series: Retrieval Augmented Generation (RAG) [AI Today Podcast] at Cognilytica.

In today’s fast paced landscape, AI has emerged as a transformative technology. It’s being used as an augmented intelligence tool to help people do their job and tasks better. AI is also being used to help people create content and art. It’s being used to make decisions, both big and small. Loan decisions, product recommendations, movie recommendations, and so much more.

Continue reading Overview of the Comprehensive Trustworthy AI Framework [AI Today Podcast] at Cognilytica.

How many categories of AI are there?

Artificial Intelligence and machine learning is maturing considerably. You can now find AI projects in every industry. At Cognilytica, we spend a considerable amount of time on use cases and how different industries are using AI. As we analyze hundreds of different use cases, interact with many customers, deliver our AI and ML training courses, and write dozens of articles we find that there are seven common patterns that seem to continuously show up in all these use cases.

Continue reading Revisiting the Seven Patterns of AI in 2024 [AI Today Podcast] at Cognilytica.

Companies of all sizes in just about every single industry across the globe are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity in the field of AI for professionals who are CPMAI certified and follow the CPMAI methodology.

Continue reading Applying CPMAI Methodology to AI Projects: Interview with Christina Kucek, CAI [AI Today Podcast] at Cognilytica.

Facial recognition falls under the recognition pattern of AI. On it’s own the technology is neutral. However, it’s the application and use (or misuse) of this technology that can have severe consequences. Rite Aid is one of the most recent companies to come under fire for their use of facial recognition. In this episode of the AI Today podcast we explore what happened that that caused the FTC to give retailer Rite Aid fa facial recognition ban for 5 years.

Continue reading Trustworthy AI Best Practices: Lessons Learned from the Rite Aid Facial Recognition Ban [AI Today Podcast] at Cognilytica.

Hyperpersonalization is focused on machine learning approaches that can develop a profile of an individual that can evolve over time rather than categorizing or “bucketing” an individual into a pre-defined category. One of the seven patterns of AI, the goal is to treat each individual as an individual. As you can imagine, this is a marketers dream.

Continue reading AI Today Podcast: Hyperpersonalization at Diageo: Interview with Nick Owen, Diageo at Cognilytica.

AI projects are really data-centric projects. After all, data is the heart of AI. So it should come as no surprise that project managers who are managing AI projects need to move beyond just general project management skills. These provide a good foundation for managing schedules, resources, and the people needed to meet organizational goals.

Continue reading AI Today Podcast: The Critical AI and Data Skills Needed for AI Project Managers at Cognilytica.

In this episode of the AI Today podcast we want to look at some of the biggest trends in AI, including where AI is headed in 2024 and what this means for you.

Generative AI Gets Embedded in Everything

The ease and availability of Generative AI makes it easy to embed in everything.

Continue reading AI Today Podcast: Looking ahead at AI (and AI Today) in 2024 at Cognilytica.

In this episode of the AI Today podcast we want to take a look back at some of the highlights in AI, including headline-making AI news. 2023 was the year for generative AI. It was also the year for Trustworthy AI.

Generative AI all day, every day

Despite a pullback in other areas, Venture Capital investment in AI continues to be hot in 2023.

Continue reading AI Today Podcast: Looking back at AI in 2023 at Cognilytica.

The EU AI Act is a groundbreaking law that is the first ever law that will regulate AI. It’s the world’s first comprehensive AI law. It’s the first major regulatory framework for AI at a continental level, and the world’s first rules on AI. One of the goals of the AI Act is to provide a comprehensive set of rules for trustworthy AI.

Continue reading AI Today Podcast: The EU AI Act – What does it mean for you? at Cognilytica.

AI continues to have an impact on just about every single industry. Companies are on their AI journey to see how it can help with hypersonalization, improve efficiencies, and help them gain a competitive edge. The Consumer Packaged Goods (CPG) industry is embracing AI in number of ways. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Nandini Nandakumar.

Continue reading AI Today Podcast: How AI is Transforming CPG: Interview with Nandini Nandakumar, Diageo at Cognilytica.

Depending on the type of AI project that you do, it can have different lengths to see ROI. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the different lengths of time to ROI for different types of AI projects.

Augmented Intelligence is where machines and humans work together to help assist the human to be better at tasks.

Continue reading AI Today Podcast: Different Time to ROI for Different Types of AI Projects at Cognilytica.

We often get asked what projects are appropriate for AI versus other forms of technology. So, we thought it was a great topic for a podcast. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer go over when to do automation versus AI.

Automation is using technology to perform repetitive tasks.

Continue reading AI Today Podcast: When to do Automation Versus AI at Cognilytica.

AI is impacting very about every single industry and pharma is no exception. AI has tremendous potential in streamlining processes, optimizing drug discovery, and enhancing patient care in ways we’ve never seen before. In this episode of the AI Today podcast we have an insightful conversation with Xiong (Sean) Liu. He is the Director of Data Science and AI at Novartis.

Continue reading AI Today Podcast: AI in Pharma – Interview with Xiong (Sean) Liu, Novartis at Cognilytica.

You may have heard the terms proof-of-concept, pilot, and production thrown around relating to various projects at your organization. But, do you know the difference between all of them?

And when running and AI project should you start with a proof-of-concept or pilot project?

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Proof-of-Concept, Pilot, and Production.

Continue reading AI Today Podcast: AI Glossary Series – Proof-of-Concept, Pilot, Production at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Anonymization, General Data Protection Regulation (GDPR), Uncanny Valley, explain how these terms relate to AI and why it’s important to know about them.

If you’re not familiar with the General Data Protection Regulation (GDPR) is a European Union regulation focused on data protection and privacy first published in 2016.

Continue reading AI Today Podcast: AI Glossary Series – Anonymization, General Data Protection Regulation (GDPR), Uncanny Valley at Cognilytica.

Hadoop and MapReduce changed the world of big data. And data is the heart of AI, so it should come as no surprise that talk about big data in the context of AI. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Hadoop, MapReduce, explain how these terms relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Hadoop, MapReduce at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Algorithmic Discrimination, Governance, Pseudo AI. Why are these terms vital in the AI landscape? And what do they mean?

Algorithmic discrimination

If you’re unfamiliar with the term algorithmic discrimination, it’s when bias in data used to train the algorithm can result in unfair decisions and results.

Continue reading AI Today Podcast: AI Glossary Series – Algorithmic Discrimination, Governance, Pseudo AI at Cognilytica.

With the use of malicious AI on the rise, it’s hard to believe anything you read, hear, or see these days. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Malicious AI, Adversarial Attack, DeepFake, explain how these terms relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Malicious AI, Adversarial Attack, DeepFake at Cognilytica.

Companies of all sizes in just about every single industry across the globe are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity in the field of AI and for professionals who are CPMAI certified.

Continue reading AI Today Podcast: CPMAI in the Real World, Interview with Dr. Philipp Schlenkhoff, CPMAI at Cognilytica.

Generative AI continues to be a hot topic discussion. People are using generative AI to help with many things, but just like with any technology it’s important to understand it’s a tool. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss how to actually put Generative AI into the apps and products that you use including how to use it in production.

Continue reading AI Today Podcast: Generative AI Series: Implementing Generative AI in production at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Methodology, Waterfall, Agile, CRISP-DM, Cognitive Project Management for AI (CPMAI).

In this episde we explain how these terms relate to AI and why it’s important to know about them. Just about every single industry is using AI in some shape or form to help streamline and improve processes, increase productivity, gain a competitive edge, and stand out from others.

Continue reading AI Today Podcast: AI Glossary Series- methodology, waterfall, Agile, CRISP-DM, Cognitive Project Management for AI (CPMAI) at Cognilytica.

Conversation is a natural form of communication for humans. Therefore, it should come as no surprise that the future will be AI-Native. But what does an “AI-native future” mean? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Gi Jung Kim who is the CEO and co-founder of Coxwave.

Continue reading AI Today Podcast: Discussing the AI-Native Future: Interview with Gi Jung Kim, CEO & Co-Founder, CoxWave at Cognilytica.

It’s hard to have a conversation about AI these days without the topic of Generative AI coming up. People are using gen AI to help with many things from text creation, image creation, and more. But, just like with any technology, there can be a downside as well. 

However, what happens when we become too reliant on technology?

Continue reading AI Today Podcast: Generative AI Series: How to Avoid Getting Screwed with Generative AI at Cognilytica.

Companies of all sizes in just about every single industry from healthcare to finance to construction are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide a competitive edge. They want to be able to have technology provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity for people looking to manage these types of projects.

Continue reading AI Today Podcast: AI in Architecture, Engineering, and Construction (AEC): Interview with Sergio Villanueva-Meyer, CPMAI at Cognilytica.

AI systems have the potential to provide great value. But also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas.

Continue reading AI Today Podcast: Trustworthy AI Series: Explainable & Interpretable AI at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Black Box, Explainable AI (XAI), Interpretable AI, explain how these terms relate to AI and why it’s important to know about them.

📖 Learn about Black Box Technology 📦: Kathleen and Ron will unravel the mystery behind Black Box technology, explaining its connection to deep learning in the realm of artificial intelligence.

Continue reading AI Today Podcast: AI Glossary Series – Black Box, Explainable AI (XAI), Interpretable AI at Cognilytica.

Companies of all sizes in just about every single industry are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can be used. They want to see how AI can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity for people looking to manage these types of projects.

Continue reading AI Today Podcast: Lessons Learned from AI Project Management: Interview with Jonelle Martinez at Cognilytica.

It’s hard to have a conversation about AI these days without the topic of Generative AI coming up. People are using gen AI to help with many things such as generating content and images. However, just like with any technology there can be a downside as well. In this podcast episode hosts Kathleen Walch and Ron Schmelzer take a deeper look at ge AI.

Continue reading AI Today Podcast: Generative AI Series: The Drawbacks and Challenges of Generative AI at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define terms related to data. Because, data is the heart of AI. So it’s important to understand the role data plays in AI and ML projects. In this episode we go over the terms data engineer, data engineering, and data pipeline.

Continue reading AI Today Podcast: AI Glossary Series- Data Engineer, Data Engineering, Data Pipeline, Data Wrangling, Data feed, Data Governance, Data integration at Cognilytica.

AI systems have the potential to provide great value. But, also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum.

Continue reading AI Today Podcast: Trustworthy AI Series: Governed AI at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer delve into the diverse roles and concepts within the data universe: Data Science, Data Scientist, Citizen Data Scientist/Citizen Developer, and Data Custodian.

Data Science isn’t just a buzzword; it’s the art of transforming raw data into meaningful insights. And Data Scientists may be the sexiest job of the 21st Century, but do you know what they do?

Continue reading AI Today Podcast: AI Glossary Series – Data Science, Data Scientist, Citizen Data Scientist / Citizen Developer, Data Custodian at Cognilytica.

It’s hard to have a conversation about AI these days without the topic of Generative AI coming up. People are using generative AI and LLMs to help with many things. But what do these technologies mean at an organizational level? And how do you apply this technology for your organization?

In this podcast episode hosts Kathleen Walch and Ron Schmelzer take a deeper look at generative AI.

Continue reading AI Today Podcast: Generative AI Series: Foundation Models, Fine-Tuning, and Domain-Specific LLMs at Cognilytica.

Analytics are statistical and other methods to gain informational insight from data. Since data is the heart of AI, it makes sense analytics should be understood. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Analytics, Data Visualization, Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Proscriptive / Projective Analytics.

Continue reading AI Today Podcast: AI Glossary Series – Analytics, Data Visualization, Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Proscriptive / Projective Analytics at Cognilytica.

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas.

Continue reading AI Today Podcast: Trustworthy AI Series: AI System Transparency at Cognilytica.

Companies of all sizes in just about every single industry are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity for people looking to manage these types of projects and there is a significant and growing demand for skilled AI project managers across the whole range of AI capabilities.

Continue reading AI Today Podcast: Lessons Learned from AI Project Management: Interview with Jeff Eason, Salt Lake County Health Department at Cognilytica.

It’s hard to have a conversation about AI these days without the topic of Generative AI coming up. People are using generative AI to help with many things, including creating images. But what do these technologies mean at an organizational level? And how do you apply this technology for your organization? In this podcast episode hosts Kathleen Walch and Ron Schmelzer take a deeper look at generative AI for images, in particular Diffusion Models and Image Generation.

Continue reading AI Today Podcast: Generative AI Series: Diffusion Models and Image Generation at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Data, Dataset, Big Data, DIKUW Pyramid, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – DevOps, Machine Learning Operations (ML Ops)
• AI Glossary Series – Automated Machine Learning (AutoML)
• AI Glossary Series – Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, Data Transformation
• AI Glossary Series – Data Augmentation, Data Labeling, Bounding box, Sensor fusion
• AI Glossary Series – Data, Dataset, Big Data, DIKUW Pyramid

Continue reading AI Today Podcast: AI Glossary Series – Data Warehouse, Data Lake, Extract Transform Load (ETL) at Cognilytica.

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas.

Continue reading AI Today Podcast: Trustworthy AI Series: Responsible AI at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Data, Dataset, Big Data, DIKUW Pyramid, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – DevOps, Machine Learning Operations (ML Ops)
• AI Glossary Series – Automated Machine Learning (AutoML)
• AI Glossary Series – Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, Data Transformation
• AI Glossary Series – Data Augmentation, Data Labeling, Bounding box, Sensor fusion
• AI Glossary Series – Data, Dataset, Big Data, DIKUW Pyramid

Continue reading AI Today Podcast: AI Glossary Series – Structured Data, Unstructured Data, Semi-structured Data at Cognilytica.

It’s hard to have a conversation about AI these days without the topics of Generative AI and Large Language Models (LLMs) coming up. But what do these technologies mean at an organizational level? And how do you apply this technology for your organization? In this podcast episode hosts Kathleen Walch and Ron Schmelzer take a deeper look at what generative AI, Transformer Models, and LLMs are.

Continue reading AI Today Podcast: Generative AI Series: Generative AI & Large Language Models (LLMs) – How Do They Work? at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms V’s of Big Data, Data Volume, Exabyte / Petabyte / Yottabyte / Zettabyte, Data Variety, Data Velocity, Data Veracity, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – DevOps, Machine Learning Operations (ML Ops)
• AI Glossary Series – Automated Machine Learning (AutoML)
• AI Glossary Series – Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, Data Transformation
• AI Glossary Series – Data Augmentation, Data Labeling, Bounding box, Sensor fusion
• AI Glossary Series – Data, Dataset, Big Data, DIKUW Pyramid

Continue reading AI Today Podcast: AI Glossary Series – V’s of Big Data, Data Volume, Exabyte / Petabyte / Yottabyte / Zettabyte, Data Variety, Data Velocity, Data Veracity at Cognilytica.

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas.

Continue reading AI Today Podcast: Trustworthy AI Series: Ethical AI at Cognilytica.

Data is the heart of AI. So, of course we need to have a podcast about data! In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Data, Dataset, Big Data, DIKUW Pyramid.

Data is the basic unit of discrete values that convey meaning, facts, quantities, or other units that computers operate on for further processing, interpretation, and analysis.

Continue reading AI Today Podcast: AI Glossary Series – Data, Dataset, Big Data, DIKUW Pyramid at Cognilytica.

It’s one thing for us to talk about the Cognitive Project Management for AI (CPMAI) Methodology and the benefits it can bring to managers running AI and advanced data projects, but hearing directly how individuals are learning from and are applying the CPMAI Methodology can be incredibly valuable. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Chuck LaBarre, who is Chief Information Officer at ENI and is also CPMAI certified.

Continue reading AI Today Podcast: Applying CPMAI in the Real World – Interview with Chuck LaBarre, ENI at Cognilytica.

Data is critical to making AI and machine learning work. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Data Augmentation, Data Labeling, Bounding box, Sensor fusion.

Data Augmentation are the techniques used to enhance existing data through the use of additional data, manipulations on existing data, or combinations of data in various ways.

Continue reading AI Today Podcast: AI Glossary Series – Data Augmentation, Data Labeling, Bounding box, Sensor fusion at Cognilytica.

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas.

Continue reading AI Today Podcast: Trustworthy AI Series: The Layers of Trustworthy AI at Cognilytica.

Data is the heart of AI. So, therefore doing things associated with your data is going to be critical for AI projects. This includes Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, and Data Transformation.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms above and explain why they are important for AI projects.

Continue reading AI Today Podcast: AI Glossary Series – Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, Data Transformation at Cognilytica.

For anyone who has used or interacted with an AI system you know that trust is required for AI systems if you want them to deliver any meaningful benefit. And once trust is lost, it’s almost impossible to gain back. Therefore, making Trustworthy, ethical & responsible AI a reality is not just a policy statement or a press release.

Continue reading AI Today Podcast: Trustworthy AI Series: Why are trustworthy, ethical and responsible AI systems necessary? at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Robotic Process Automation (RPA), Attended bots, Unattended bots, Low Code, No Code, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – DevOps, Machine Learning Operations (ML Ops)
• AI Glossary Series – Automated Machine Learning (AutoML)
• AI Today Podcast: Roadmap Series: Getting Started on the Automation to Intelligence Journey
• AI Today Podcast Roadmap Series: From Automation to Intelligence – What should we automate and why
• AI Today Podcast: Automation to Intelligence Roadmap Series – What is a Business Process?

Continue reading AI Today Podcast: AI Glossary Series – Robotic Process Automation (RPA), Attended bots, Unattended bots, Low Code, No Code at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Automation, Robot, Robotics, Collaborative Robot (Cobot), explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – DevOps, Machine Learning Operations (ML Ops)
• AI Glossary Series – Automated Machine Learning (AutoML)
• AI Today Podcast: Roadmap Series: Getting Started on the Automation to Intelligence Journey
• AI Today Podcast Roadmap Series: From Automation to Intelligence – What should we automate and why
• AI Today Podcast: Automation to Intelligence Roadmap Series – What is a Business Process?

Continue reading AI Today Podcast: AI Glossary Series – Automation, Robot, Robotics, Collaborative Robot (Cobot) at Cognilytica.

AI is proving transformational in every industry, including long established industries, and insurance is no exception. AI is able to optimize underwriting processes, enable more personalized insurance offerings, enhance the overall customer experience, as well as help with process improvements.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Connor Atchison who is the CEO of Wisedocs, a medical record review machine learning software for insurance carriers, healthcare providers, laws firms, and TPAs.

Continue reading AI Today Podcast: How AI is Transforming Insurance, Interview with Connor Atchison, Wisedocs at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Data Science Notebooks, Jupyter, Colab, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Data Drift, Model Drift, Model Retraining
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
• Glossary Series – Machine Learning Development Languages: Python, R, Julia, Scala

Continue reading AI Today Podcast: AI Glossary Series – Data Science Notebooks, Jupyter, Colab at Cognilytica.

Many organizations want to do AI, but the technical skills needed can present a challenge. Not all organizations have data scientists on hand. Yet, many organizations still want to benefits of AI. In recent years there have been tools and platforms created to help automate many of the aspects of building and developing ML models that previously required very specialized skills and talent.

Continue reading AI Today Podcast: AI Glossary Series – Automated Machine Learning (AutoML) at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Machine Learning Tools: Keras, PyTorch, Scikit Learn, TensorFlow, Apache Spark, Kaggle, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
• Glossary Series: Bias, Weight, Activation Function, Convergence, ReLU
• Glossary Series: Perceptron
• Glossary Series: Hidden Layer, Deep Learning
• Glossary Series: Loss Function, Cost Function & Gradient Descent
• Glossary Series: Backpropagation, Learning Rate, Optimizer
• Glossary Series: Feed-Forward Neural Network
• AI Glossary Series – Machine Learning, Algorithm, Model

Continue reading AI Today Podcast: AI Glossary Series – Machine Learning Tools: Keras, PyTorch, Scikit Learn, TensorFlow, Apache Spark, Kaggle at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Machine Learning Development Languages: Python, R, Julia, Scala, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
• Glossary Series: Hidden Layer, Deep Learning
• Glossary Series: Loss Function, Cost Function & Gradient Descent
• Glossary Series: Backpropagation, Learning Rate, Optimizer
• Glossary Series: Feed-Forward Neural Network
• AI Glossary Series – Machine Learning, Algorithm, Model
• AI Glossary Series – Model Tuning and Hyperparameter
• AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff

Continue reading AI Today Podcast: AI Glossary Series – Machine Learning Development Languages: Python, R, Julia, Scala at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms DevOps, Machine Learning Operations (ML Ops), explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Data Drift, Model Drift, Model Retraining
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer

Continue reading AI Today Podcast: AI Glossary Series – DevOps, Machine Learning Operations (ML Ops) at Cognilytica.

Data is the heart of AI. Which is why having good, clean data is so critical. But what happens when your data changes of over? What does that do to your models? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the terms Data Drift, Model Drift, and Model Retraining.

Continue reading AI Today Podcast: AI Glossary Series – Data Drift, Model Drift, Model Retraining at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Cloud ML, On-Premise, Edge Device, Machine Learning -as-a-Service (MLaaS), explain how these terms relates to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: Training Data, Epoch, Batch, Learning Curve
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
• Glossary Series: Bias, Weight, Activation Function, Convergence, ReLU
• Glossary Series: Perceptron
• Glossary Series: Hidden Layer, Deep Learning
• Glossary Series: Loss Function, Cost Function & Gradient Descent
• Glossary Series: Backpropagation, Learning Rate, Optimizer
• Glossary Series: Feed-Forward Neural Network
• Glossary Series: OpenAI, GPT, DALL-E, Stable Diffusion
• Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
• AI Glossary Series – Machine Learning, Algorithm, Model
• AI Today Podcast: AI Glossary Series – Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, Hot-Path Analytics

This episode is sponsored by Algolia:

Algolia Powers Discovery.

Continue reading AI Today Podcast: AI Glossary Series – Cloud ML, On-Premise, Edge Device, Machine Learning -as-a-Service (MLaaS) at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, and Hot-Path Analytics, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: Training Data, Epoch, Batch, Learning Curve
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
• Glossary Series: Bias, Weight, Activation Function, Convergence, ReLU
• Glossary Series: Perceptron
• Glossary Series: Hidden Layer, Deep Learning
• Glossary Series: Loss Function, Cost Function & Gradient Descent
• Glossary Series: Backpropagation, Learning Rate, Optimizer
• Glossary Series: Feed-Forward Neural Network
• Glossary Series: OpenAI, GPT, DALL-E, Stable Diffusion
• Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
• AI Glossary Series – Machine Learning, Algorithm, Model
• AI Glossary Series – Model Tuning and Hyperparameter
• AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff
• AI Glossary Series: Operationalization
• Interview with Alex Measure, BLS

This episode is sponsored by Algolia:

Algolia Powers Discovery.

Continue reading AI Today Podcast: AI Glossary Series – Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, Hot-Path Analytics at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Operationalization, explain how this term relates to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: Training Data, Epoch, Batch, Learning Curve
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
• Glossary Series: Bias, Weight, Activation Function, Convergence, ReLU
• Glossary Series: Perceptron
• Glossary Series: Hidden Layer, Deep Learning
• Glossary Series: Loss Function, Cost Function & Gradient Descent
• Glossary Series: Backpropagation, Learning Rate, Optimizer
• Glossary Series: Feed-Forward Neural Network
• Glossary Series: OpenAI, GPT, DALL-E, Stable Diffusion
• Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
• AI Glossary Series – Machine Learning, Algorithm, Model
• For more information on visit Algolia website
• FREE CPMAI Intro Course
• Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
• Glossary Series: Tokenization, Vectorization

This episode is sponsored by Algolia:

Algolia Powers Discovery.

Continue reading AI Today Podcast: AI Glossary Series – Operationalization at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Digital Transformation, Return on Investment (ROI), and Key Performance Indicator (KPI), explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary

• For more information on visit Algolia website
• Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
• Glossary Series: Tokenization, Vectorization

This episode is sponsored by Algolia:

Algolia Powers Discovery.

Continue reading AI Today Podcast: AI Glossary – Digital Transformation, Return on Investment (ROI), Key Performance Indicator (KPI) at Cognilytica.

In this episode of the AI Today Podcast hosts Kathleen Walch and Ron Schmelzer get to talk to Sean Mullaney who is the Chief Technology Officer (CTO) at Algolia. We discuss how AI is revolutionizing e-commerce. Sean shares how vectorization is being used to enhance the relevance and personalization of search results for e-commerce businesses.

Continue reading AI Today Podcast: Revolutionizing AI-Driven E-commerce Strategy, Interview with Sean Mullaney, Algolia at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Confusion Matrix, Accuracy, Precision, F1, Recall, Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curve, explain how these terms relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: Training Data, Epoch, Batch, Learning Curve
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
• Glossary Series: Bias, Weight, Activation Function, Convergence, ReLU
• Glossary Series: Perceptron
• Glossary Series: Hidden Layer, Deep Learning
• Glossary Series: Loss Function, Cost Function & Gradient Descent
• Glossary Series: Backpropagation, Learning Rate, Optimizer
• Glossary Series: Feed-Forward Neural Network
• Glossary Series: OpenAI, GPT, DALL-E, Stable Diffusion
• Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
• AI Glossary Series – Machine Learning, Algorithm, Model
• AI Glossary Series – Model Tuning and Hyperparameter
• AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff
• Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary

Continue reading AI Today Podcast: AI Glossary Series – Confusion Matrix, Accuracy, Precision, F1, Recall, Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curve at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Model Validation, Validation Data, Test Data, Cross-Validation, explain how these terms relate to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts?

Continue reading AI Today Podcast: AI Glossary Series – Model Validation, Validation Data, Test Data, and Cross-Validation at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Model Tuning and Hyperparameter, explain how these terms relate to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn how to apply AI and data using hands-on approaches and the latest technologies?

Continue reading AI Today Podcast: AI Glossary Series – Model Tuning and Hyperparameter at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss and define at a high level the terms OpenAI, GPT, DALL-E, and Stable Diffusion, and share why you should know these terms and how they relate to the overall AI landscape.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts?

Continue reading AI Today Podcast: AI Glossary Series – OpenAI, GPT, DALL-E, Stable Diffusion at Cognilytica.

Large Language Models (LLMs) are all the rage these days. It’s hard to have a conversation about AI without ChatGPT, Google Bard, or LLMs being brought up. However, what if these LLMs could learn more about you individually and provide a much more hyperpersonalized experience and responses?! In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Dmitry Shapiro who is CEO of YouAi.

Continue reading AI Today Podcast: Digitizing the Mind: Interview with Dmitry Shapiro, YouAi at Cognilytica.

Transformer models have proven to be especially powerful for Natural Language Processing applications and image generation, and have been popularized by models such as GPT-3, Stable diffusion, and BERT. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Transformer Networks, explain how these terms relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast – AI Glossary Series: Transformer Networks at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Boltzmann Machine, explain how these terms relate to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn how to apply AI and data using hands-on approaches and the latest technologies?

Continue reading AI Today Podcast: AI Glossary Series – Boltzmann Machine at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Decoder, AutoEncoder, Generative Adversarial Network (GAN), explain how these terms relate to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts?

Continue reading AI Today Podcast: AI Glossary Series – Encoder-Decoder, AutoEncoder, and Generative Adversarial Network (GAN) at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Convolutional Neural Network (CNN), explain how these terms relate to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn how to apply AI and data using hands-on approaches and the latest technologies?

Continue reading AI Today Podcast: AI Glossary Series – Convolutional Neural Network (CNN) at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM), explain how these terms relate to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts?

Continue reading AI Today Podcast: AI Glossary Series – Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM) at Cognilytica.

Usually used as a simple example for how deep learning neural networks work, a feed-forward neural network is the most basic, “vanilla” general kind of neural network. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Feed-Forward Neural Network, explain how these terms relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Feed-Forward Neural Network at Cognilytica.

In order for machine learning systems to work, they need to be trained on data. But there are different types of data and depending on the situation you may want to use one type of data over another, or a combination of different types. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms “Ground Truth” Data and Synthetic Data, explain how these terms relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – “Ground Truth” Data and Synthetic Data at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Pre-Trained Model and Transfer Learning, explain how these terms relate to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts?

Continue reading AI Today Podcast: AI Glossary Series – Pre-Trained Model and Transfer Learning at Cognilytica.

As AI applications become more complex and data-intensive, the need for scalable and efficient storage solutions becomes increasingly important. AI models require vast amounts of data to be processed, and as the size and complexity of these models continue to grow, so does the need for more storage. Storage considerations are critical for both the training and the deployment of AI models.

Continue reading AI Today Podcast: Why Data Storage Matters When it Comes to AI: Interview with Justin Emerson, Pure Storage at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms CPU, GPU, TPU, and Federated Learning, explain how these terms relate to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts?

Continue reading AI Today Podcast: AI Glossary Series – CPU, GPU, TPU, and Federated Learning at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Tokenization and Vectorization, explain how these terms relates to AI and why it’s important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn how to apply AI and data using hands-on approaches and the latest technologies?

Continue reading AI Today Podcast: AI Glossary Series – Tokenization and Vectorization at Cognilytica.

In order for machine learning systems to work they need to be trained on data. But as the old saying goes “garbage in is garbage out” so you need to make sure you have a dataset of prepared data that is cleaned so you can incrementally train a machine learning model to perform a particular task.

Continue reading AI Today Podcast: AI Glossary Series – Training Data, Epoch, Batch, Learning Curve at Cognilytica.

Backpropagation was one of the innovations by Geoff Hinton that made deep learning networks a practical reality. But have you ever heard of that term before and know what it is at a high level? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Backpropagation, Learning Rate, and Optimizer, explain how these terms relates to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Backpropagation, Learning Rate, and Optimizer at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Loss Function, Cost Function and Gradient Descent, explain how these terms relates to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: Artificial Intelligence
• Glossary Series: Artificial General Intelligence (AGI), Strong AI, Weak AI, Narrow AI
• Glossary Series: Heuristic & Brute-force Search
• AI Glossary Series – Machine Learning, Algorithm, Model
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
• Glossary Series: Bias, Weight, Activation Function, Convergence, ReLU
• Glossary Series: Perceptron
• Glossary Series: Hidden Layer, Deep Learning

Continue reading AI Today Podcast: AI Glossary Series – Loss Function, Cost Function and Gradient Descent at Cognilytica.

Deep Learning is powering this current wave of AI interest. But do you really know what Deep Learning is? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms hidden layer and deep learning, explain how these terms relates to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series- Hidden Layer and Deep Learning at Cognilytica.

The Perceptron was the first artificial neuron. The theory of the perceptron was first published in 1943 by McCulloch & Pitts, and then developed in 1958 by Rosenblatt. So yes, this was developed in the early days of AI. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Perceptron and explain how the term relates to AI and why it’s important to know about it.

Continue reading AI Today Podcast: AI Glossary Series – Perceptron at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Bias, Weight, Activation Function, Convergence, and ReLU and explain how they relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Machine Learning, Algorithm, Model
• Glossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning
• Glossary Series: Dimension, Curse of Dimensionality, Dimensionality Reduction
• Glossary Series: Feature, Feature Engineering
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer

Continue reading AI Today Podcast: AI Glossary Series – Bias, Weight, Activation Function, Convergence, and ReLU at Cognilytica.

If we can replicate neurons and how they are connected, can we replicate the behavior of our brains? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms (Artificial) Neural Networks, Node, and layer, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – (Artificial) Neural Networks, Node (Neuron), Layer at Cognilytica.

For a number of reasons, it can be important to reduce the number of variables or identified features in input training data so as to make training machine learning models faster and more accurate. But what are the techniques for doing this? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Feature Reduction, Principal Component Analysis (PCA), and t-SNE, explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Feature Reduction, Principal Component Analysis (PCA), and t-SNE at Cognilytica.

For time-consuming parts of the machine learning workflow people often look for tricks and techniques to help speed up the process. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms feature and feature engineering, explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Feature and Feature Engineering at Cognilytica.

Regression is a statistical and mathematical technique to find the relationship between two or more variables. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Regression and Linear Regression and explain how they relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Machine Learning, Algorithm, Model
• Glossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning
• Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary
• Glossary Series: Clustering, Cluster Analysis, K-Means, Gaussian Mixture Model

Continue reading AI Today Podcast: AI Glossary Series – Regression and Linear Regression at Cognilytica.

The idea of grouping similar types of data together is the main idea behind clustering. Clustering supports the goals of Unsupervised Learning which is finding patterns in data without requiring labeled datasets. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Clustering, Cluster Analysis, K-Means, and Gaussian Mixture Model, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series- Clustering, Cluster Analysis, K-Means, Gaussian Mixture Model at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define DeepBlue, including what it is and why it’s notable for AI.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Symbolic Systems & Expert Systems
• AI Glossary Series: Cognitive Technology

Continue reading AI Today Podcast: AI Glossary Series – Deep Blue at Cognilytica.

Before this latest wave of AI where neural nets became the hottest algorithm of choice, an approach to machine learning that uses logic and constructs similar to the way that humans reason through problems called Symbolic Systems were actually the system of choice. Popularized in the late 1980s and early 1990s expert systems became the AI system of choice for organizations investing in cognitive technology.

Continue reading AI Today Podcast: AI Glossary Series: Symbolic Systems & Expert Systems at Cognilytica.

Sometimes for reasons such as improving performance or robustness it makes sense to create multiple decision trees and average the results to solve problems related to overfitting. Or, it makes sense to boost certain decision trees. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Random Forest and Boosted Trees, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Random Forest and Boosted Trees at Cognilytica.

Sometimes for reasons such as improving performance or robustness it makes sense to combine the results of multiple different models trained on the same data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Ensemble Models, and explain how it relates to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Ensemble Models at Cognilytica.

There are many algorithms that can be used for classification and it’s important to at least know them at a high level. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Support Vector Machine & Kernel Method, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Decision Trees at Cognilytica.

There are many algorithms that can be used for classification and it’s important to at least know them at a high level. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Support Vector Machine & Kernel Method, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Support Vector Machine & Kernel Method at Cognilytica.

There are many algorithms that can be used for classification and it’s important to at least know them at a high level. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms K-Nearest Neighbor and Lazy Learning, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series: K-Nearest Neighbor and Lazy Learning at Cognilytica.

Probabilities play a big part in AI and machine learning. After all, AI systems are Probabilistic systems that must learn what to do. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Bayes’ Theorem, Bayesian Classifier, Naive Bayes, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Bayes’ Theorem, Bayesian Classifier, Naive Bayes at Cognilytica.

Determining which categories or “classes” data belongs to in the core aspect of classification. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer have a discussion with Bill Raymond who is the host of the Agile In Action podcast. We discuss why project managers should pay attention to AI, how the areas of Agile and AI are intersecting, and how artificial intelligence fits within the project management space both from running AI projects to also how AI will enhance the project manager’s role.

Continue reading AI Today Podcast: How AI and Project Management Fit Together: Interview with Bill Raymond, Agile in Action Podcast at Cognilytica.

When it comes to building ML models, you want to make a model simple enough so that it can handle a wide range of real-world data on the one hand, but not too simple that it overgeneralizes or underfits the available data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Overfitting, Underfitting, Bias, Variance, and Bias/Variance Tradeoff, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Dimension, Curse of Dimensionality, Dimensionality Reduction, and explain how they relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: Artificial Intelligence
• AI Glossary Series – Machine Learning, Algorithm, Model
• Glossary Series: Prediction, Inference, and Generalization
• Glossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning

Continue reading AI Today Podcast: AI Glossary Series – Dimension, Curse of Dimensionality, Dimensionality Reduction at Cognilytica.

Pattern recognition in general is what machine learning systems do. They use an algorithm to learn patterns from data that can be then used to make predictions on new data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Pattern Recognition and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series- Pattern Recognition at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define terms related to Machine Learning Approaches including Supervised Learning, Unsupervised Learning, Reinforcement Learning and explain how they relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: Artificial Intelligence
• AI Glossary Series – Machine Learning, Algorithm, Model
• Glossary Series: Probabilistic & Deterministic
• Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary
• Glossary Series: Regression, Linear Regression
• Glossary Series: Clustering, Cluster Analysis, K-Means, Gaussian Mixture Model
• Glossary Series: Goal-Driven Systems & Roboadvisor
• Understanding the Goal-Driven Systems Pattern of AI

Continue reading AI Today Podcast: AI Glossary – Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning at Cognilytica.

Even though the term Artificial Intelligence does not have an agreed upon definition, the term machine learning does have a definition. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Machine Learning, Algorithm, Model and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Machine Learning, Algorithm, Model at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss and define at a high level DeepMind, AlphaGo, and AlphaZero.

Show Notes:

• FREE Intro To CPMAI Mini Course
• CPMAI Training and Certification
• AI Today Podcast #94: Understanding the Goal-Driven Systems Pattern of AI
• AI Glossary

Continue reading AI Today Podcast: AI Glossary – DeepMind, AlphaGo, and AlphaZero at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schemlzer define and discuss at a high level the terms Prediction, Inference, and Generalization, why it’s important to understand these terms, and how they fit into the overall picture of AI.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: Machine Learning, Algorithm, Model
• Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary
• Glossary Series: Regression, Linear Regression

Continue reading AI Today Podcast: AI Glossary Series – Prediction, Inference, and Generalization at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schemlzer define and discuss at a high level the terms Heuristic & Brute-force Search, why it’s important to understand these terms, and how they fit into the overall picture of AI.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary

Continue reading AI Today Podcast: AI Glossary Series – Heuristic & Brute-force Search at Cognilytica.

One of the seven patterns of AI, the objective of goal driven systems is to find the most optimal path or solution to a problem. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schemlzer define and discuss at a high level the terms Goal-Driven Systems as well as Roboadvisor, why it’s important to understand these terms, and how they fit into the overall picture of AI.

Continue reading AI Today Podcast: AI Glossary Series – Goal-Driven Systems & Roboadvisor at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Probabilistic & Deterministic and explain how they relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Artificial Intelligence

Continue reading AI Today Podcast: AI Glossary Series – Probabilistic & Deterministic at Cognilytica.

The objective of the hyperpersonalization pattern of AI is to treat each individual as an individual. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define and discuss at a high level the terms Personalization, Recommendation, and Hyperpersonalization, how they are related, and why it’s important to have a light level understanding of these terms, and how machine learning makes hyperpersonalization possible.

Continue reading AI Today Podcast: AI Glossary Series: Personalization, Recommendation, and Hyperpersonalization at Cognilytica.

The objective of the recognition pattern of AI is to have machines identify and understand the real world and unstructured data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define and discuss at a high level the terms Recognition Systems, Computer Vision, and ImageNet, how they are related, and why it’s important to have a light level understanding of these terms.

Continue reading AI Today Podcast: AI Glossary Series: Recognition Systems, Computer Vision, ImageNet at Cognilytica.

Named after researcher and AI pioneer Alan Turing, the Turing Test aims to test whether a machine or system is “intelligent” by putting the system to a test. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the Turing Test at a high level and discuss if it’s now possibly an overly simplistic assessment of whether or not machines have achieved necessary levels of intelligence.

Continue reading AI Today Podcast: AI Glossary Series: Turing Test at Cognilytica.

Virtual agents and chatbots have been proving useful at organizations. But is their real potential yet to be tapped? In this episode of the AI Today Podcast hosts Kathleen Walch and Ron Schmelzer interview Pat Calhoun who is CEO of Espressive. He shares with us where he thinks virtual agents are headed in 2023 including why he thinks virtual agents will be the next Intranet, what the pervasiveness of chatbots means for organizations, and the impact virtual agents will have on the way we work.

Continue reading AI Today Podcast: Where Virtual Agents are headed in 2023, Interview with Pat Calhoun, CEO of Espressive at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define AI Today the term Conversational Systems. We also define the terms Chatbots, Voice Assistants, and Machine Translation and explain how they relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Natural Language Processing (NLP)
• AI Glossary Series – Content Summarization & Analysis,Sentiment Analysis
• AI Today Podcast #104: Patterns of AI – Conversation / Human Interaction
• AI Today Podcast #012: Chatbots – Are they Useful?

Continue reading AI Today Podcast: AI Glossary Series-Conversational Systems, Chatbots, Voice Assistants, Machine Translation at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define Content Summarization and Analysis and Sentiment Analysis. We explain at a high level what these terms are and how they relate to AI.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Natural Language Processing (NLP)
• AI Glossary Series – Conversational Systems, Chatbots, Voice Assistants, Machine Translation
• AI Today Podcast #104: Patterns of AI – Conversation / Human Interaction

Continue reading AI Today Podcast: AI Glossary Series: Content Summarization and Analysis, Sentiment Analysis at Cognilytica.

Cybernetics has actually been around longer than the term AI. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define what Cybernetic systems are at a high level.

Show Notes:

• FREE Intro To CPMAI Mini Course
• CPMAI Training and Certification
• AI Glossary

Continue reading AI Today Podcast: Glossary Series: Cybernetics at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer have a discussion with the hosts of PM Point of View Podcast Kendall Lott and Mike Fortezza. We discuss why project managers should pay attention to AI, why data-centric approaches are needed to run AI projects, and how CPMAI can enhance PM’s ability to run data projects.

Continue reading AI Today Podcast: How AI and Project Management Fit Together: Interview with Kendall Lott and Mike Fortezza, PM Point of View Podcast at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define Natural Language Processing (NLP), Natural Language Understanding (NLU), Natural Language Generation (NLG), Speech-to-Text, Test-to-Speech, and (Automated) Speech Recognition. We share how these terms are related and how they fit into AI.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Content Summarization & Analysis, Sentiment Analysis
• AI Glossary Series – Conversational Systems, Chatbots, Voice Assistants, Machine Translation
• AI Today Podcast #104: Patterns of AI – Conversation / Human Interaction

Continue reading AI Today Podcast: AI Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define Autonomous Systems, as well as related terms including Levels of Autonomy, Autonomous vehicle, and Autonomous (automated) Retail.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• AI Today Podcast #112: Patterns of AI – Autonomous Systems
• AI Today Podcast #055: Autonomous Business Process (ABP)
• AI Today Podcast #37: Life with Level 5 Autonomous Vehicles
• The AI-Enabled Future
• AI Today Podcast #29: The First Autonomous Vehicle Fatality — Now What?

Continue reading AI Today Podcast: AI Glossary Series- Autonomous Systems at Cognilytica.

Like all technologies, Artificial Intelligence (AI) is not immune to the waves of obscurity, hyped promotion, plateauing of interest, and decline. In fact, the AI industry has been through two such major waves of interest, hype, plateau, and decline, commonly referred to as the “AI Winters”. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define an “AI Winter” at a high level.

Continue reading AI Today Podcast: AI Glossary Series: AI Winters at Cognilytica.

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However we are seeing the cross section of AI and project management and felt it was important to bring in PM experts to the discussion. In this episode hosts Kathleen Walch and Ron Schmelzer interview Bob Payne who is host of the Agile Toolkit podcast.

Continue reading AI Today Podcast: An Agile Perspective on AI – Interview with Bob Payne, host of the Agile Toolkit podcast at Cognilytica.

Cognilytica has spent a considerable amount of time on AI use cases and how different industries are using various AI and cognitive technologies and we’ve found that there are seven common patterns that seem to continuously show up in all these use cases. In this podcast hosts Kathleen Walch and Ron Schmelzer define at a high level the seven patterns of AI and explain how they can be used to shortcut AI projects.

Continue reading AI Today Podcast: AI Glossary Series: Seven Patterns of AI at Cognilytica.

It’s one thing for us to talk about the Cognitive Project Management for AI (CPMAI) Methodology and the benefits it can bring to project managers running AI and advanced data projects, but hearing directly how individuals are applying the CPMAI Methodology and how it has directly benefit their projects can be incredibly valuable. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Andre Barcaui who is a Brazilian project manager and professor and he is also CPMAI certified.

Continue reading AI Today Podcast: Applying CPMAI in the real world, Interview with Andre Barcaui, CPMAI at Cognilytica.

Rather than replacing humans with autonomous agents, businesses and agencies can see significant value in enhancing the capabilities of their existing staff and leveraging AI as a “force multiplier” that enables them to do more with their existing resources. This is the key idea behind the concept of Augmented Intelligence. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the idea of augmented intelligence and what it means when AI can be used to assist humans, rather than replacing them.

Continue reading AI Today Podcast: AI Glossary Series: Augmented Intelligence at Cognilytica.

On the AI Today podcast we regularly interview thought leaders and practitioners who are implementing and managing AI and cognitive technology projects at various companies and government agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Galen Low, host of The Digital Project Manager podcast and co-founder of the Digital Project Manager.

Continue reading AI Today Podcast: Interview with Galen Low, host of The Digital Project Manager podcast at Cognilytica.

Sometimes, talking about what is and isn’t AI isn’t helpful given the lack of a commonly accepted definition of AI. Instead we find that using the term Cognitive technologies when we’re talking about goals of Machines mimicking and approaching Human Intelligence can provide much better results.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Cognitive Technology.

Continue reading AI Today Podcast: AI Glossary Series: Cognitive Technology at Cognilytica.

On the AI Today podcast we regularly interview thought leaders and practitioners who are implementing and managing AI and cognitive technology projects at various companies and government agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Ann Campea who is the host of The Everyday PM Podcast. Her podcast focuses on project management and we discuss how the project management industry has changed and evolved with technological advancements, how she sees artificial intelligence impact the project management space, as well as what opportunities AI will bring to project managers.

Continue reading AI Today Podcast: AI in Project Management, Interview with Ann Campea, host of The Everyday PM Podcast at Cognilytica.

In order to understand the goal of Artificial General Intelligence (AGI) which is also sometimes reffered to as Strong AI, it’s important to understand the difference between strong AI versus narrow or weak AI. In this episode of the AI Today podcast, hosts Kathleen Walch and Ron Schmelzer share the definitions for AGI/Strong AI and Narrow/Weak AI and explain why the terms Strong AI and Weak AI have fallen out of favor in recent years.

Continue reading AI Today Podcast: AI Glossary Series: Artificial General Intelligence (AGI), Strong AI, Weak AI, Narrow AI at Cognilytica.

Companies of all sizes in just about every single industry are looking to see how Artificial Intelligence (AI) and machine learning (ML) can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity for people looking to manage these types of projects and there is a significant and growing demand for skilled AI project managers across the whole range of AI capabilities.

Continue reading AI Today Podcast: Best Practices in AI Project Management: Excerpts from our Enterprise Data & AI CPMAI Panel at Cognilytica.

The term Artificial Intelligence (AI) was coined in 1956. Despite the fact that the term is now decades old, there still is no commonly accepted definition. In this episode of the AI Today podcast, hosts Kathleen Walch and Ron Schmelzer share Cognilytica’s definition for AI.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary

Continue reading AI Today Podcast: AI Glossary Series: Artificial Intelligence at Cognilytica.

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Greg Mester who is host of the 5am Mester Scrum podcast. As his podcast talks about Scrum and Agile, he shares with us common misunderstandings about Agile and Scrum, how he sees AI helping Application or Agile Teams, and how the role of project managers is evolving.

Continue reading AI Today Podcast: Bringing AI & Agile Together: Interview with Greg Mester, host of the 5am Mester Scrum podcast at Cognilytica.

It’s one thing for us to talk about the Cognitive Project Management for AI (CPMAI) Methodology and the benefits it can bring to managers running AI and advanced data projects, but hearing directly how individuals are applying the CPMAI Methodology can be incredibly valuable. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Andrew Stone who is Lead Specialist – Product Owner, Data Science at Maximus and he is also CPMAI certified.

Continue reading AI Today Podcast: Applying CPMAI in the Real World, Interview with Andrew Stone, Maximus at Cognilytica.

When putting together your Ethical and Responsible AI Framework it’s important to remember that it needs to be actually implemented. Why spend all this time and resources to put together a framework just to let it sit on a shelf untouched. Remember: Ethical & Responsible AI is something you do, not a statement! In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer talk more about this topic and why it’s so important to actually do AI right which means doing ethical and responsible AI right as well.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: Ethical & Responsible AI is something you do, not a statement at Cognilytica.

When working on your ethical and responsible AI framework you should not overlook the roles, boards, and committees that will need to be put in place to ensure that the framework is actually implemented and updated as needed for overall AI project success for the long term. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer provide a high level overview on how to set up your organization for ethical and responsible AI success.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: Setting up your organization for ethical & responsible AI success at Cognilytica.

The pace of adoption for artificial intelligence (AI) and cognitive technologies continues unabated with widespread, worldwide, rapid adoption of AI and its various patterns. However with any transformative technology laws and regulations may be slow to catch up with the quickly changing technology. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the global and regional impacts laws and regulations have related to data and AI.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: Impact of Emerging Laws and Regulations on AI at Cognilytica.

Not all algorithms are explainable. So does that mean that it’s ok to not provide any explanation on how your AI system got to the decision it did if you’re using one of those “black box” algorithms? The answer should obviously be no. So, what do you do then when creating Ethical and Responsible AI systems to address this issue around explainable and interpretable AI?

Continue reading AI Today Podcast: Ethical & Responsible AI Series: Explainable and Interpretable AI at Cognilytica.

In order to have people use AI systems they need to feel that they can trust these systems. That includes putting measures in place around AI Auditability, Traceability, and System Control. But what exactly does that mean and how do you do this in the context of your Ethical and Responsible AI Framework? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss issues related to AI Auditability, Traceability, and System Control, why it’s important to be transparent with users, and what steps and controls you should have in place.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: AI Auditability, Traceability, and System Control at Cognilytica.

When building Ethical and Responsible AI systems it’s important to think about AI System Transparency. These are ethical principles that focus on giving human users as much visibility into overall system behavior, including issues of visibility into data and AI configuration, appropriate disclosure and user consent, means for gaining visibility into bias and potential mitigation of that bias, and use of open systems.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: AI System Transparency at Cognilytica.

In order to have people use AI systems they need to feel that they can trust these systems. That includes when they system provides an answer they may not want to hear. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss issues related to AI Today Podcast: Ethical & Responsible AI Series: Disclosure & Consent including why it’s important to disclose to users they are interacting with an AI, why it’s important to be transparent with users, and what steps you should consider to have users provide consent.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: Disclosure & Consent at Cognilytica.

If data is the heart of AI, then it should come as no surprise that data privacy plays a big role in building ethical and responsible AI systems. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss issues related to AI and data privacy, why it’s important to stay up to date on these topics, how they can impact your project, and additional factors that need to be taken into consideration when building trustworthy AI systems.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: AI & Data Privacy at Cognilytica.

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss issues that related to AI safety and security and why building trustworthy AI is critical for the success of the project.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: AI Safety & Security at Cognilytica.

Construction companies are increasingly using AI in a range of ways to tackle a number of challenges. From optimizing work schedules to improving workplace safety to keeping a secure watch on construction facilities, AI in the construction industry is already producing value. One such company, ALICE Technologies, is focused on a different challenge: scheduling. In this podcast hosts Kathleen Walch and Ron Schmelzer interview with René Morkos, CEO of ALICE Technologies and Adjunct Professor at Stanford.

Continue reading AI Today Podcast: AI in Construction – Interview with René Morkos, CEO of ALICE Technologies at Cognilytica.

Organizations are increasingly making use of AI systems to power their operations and enable a wide range of applications from the trivial to the mission-critical. As a result it’s more important than ever to understand the many complex issues related to AI and Data fairness and bias. In this Ethical and Responsible AI Series hosts Kathleen Walch and Ron Schemlzer dig deeper into the role data plays in AI, and how building AI systems with fairness in mind is critical.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: AI & Data Fairness & Bias at Cognilytica.

Organizations are increasingly making use of AI systems to power their operations and enable a wide range of applications from the trivial to the mission-critical. Many of the concepts of AI ethics generally revolve around the set of what is “right” vs “wrong” with regards to intelligent systems. However, the sort of ethical concepts that are discussed in AI ethics frameworks tend to cluster around five different areas including: Societal Ethical AI, Responsible AI, Trustworthy AI, AI Governance, and Interpretable and Explainable AI.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: The Layers of Ethical AI & A Framework for Ethical & Responsible AI at Cognilytica.

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. As more organizations adopt AI technologies the need to do AI ethically and responsibly is becoming incredibly important.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: Why is Ethical & Responsible AI Necessary? at Cognilytica.

Companies of all sizes in just about every single industry are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity for people looking to manage these types of projects and there is a significant and growing demand for skilled AI project managers across the whole range of AI capabilities.

Continue reading AI Today Podcast: Adopting AI Best Practices – Interview with Krystene Jennings, Centene at Cognilytica.

It’s one thing for us to talk about the Cognitive Project Management for AI (CPMAI) Methodology and the benefits it can bring to managers running AI and advanced data projects, but hearing directly how individuals are applying the CPMAI Methodology can be incredibly valuable. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Karen McCann who is a Product Manager at Toshiba Global Commerce Solutions and is also CPMAI certified.

Continue reading AI Today Podcast: Applying CPMAI in the Real World – Interview with Karen McCann, Toshiba Global Commerce Solutions at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer revisit the discussion around common reasons why AI projects fail. Sometimes AI systems can be too creepy and go into the uncanny valley. The uncanny valley is a relationship between the degree of an object’s resemblance to a human being and the emotional response to the object.

Continue reading AI Today Podcast: AI Failures Series: Falling into the Uncanny Valley at Cognilytica.

It’s one thing for us to talk about the Cognitive Project Management for AI (CPMAI) Methodology and the benefits it can bring to managers running AI and advanced data projects, but hearing directly how companies are applying the CPMAI Methodology can be incredibly valuable. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Charles Mendoza, who is Sr.

Continue reading AI Today Podcast: Lessons learned from AI Project Management – Interview with Charles Mendoza, Maximus at Cognilytica.

If you have ever tried to apply Agile methodologies to your AI projects you’ve probably noticed that Agile is challenged by the requirements of AI systems. We need to evolve Agile Methodologies from a Data-First Perspective. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer revisit the Agile Manifesto and Agile Methodologies and share why AI and data-centric methodologies, and specifically CPMAI Methodology, are needed for running AI projects successfully.

Continue reading AI Today Podcast: Why can’t we use Agile for AI? at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss what AI in the cloud really means. They break down what is the cloud with a technical definition and then an economic definition to level set the topic and then dig into the question: What does AI have to do with the Cloud?

Continue reading AI Today Podcast: AI in the Cloud at Cognilytica.

Our AI Failures Series podcast was so popular we wanted to revisit some of the main reasons why we see AI projects fail. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer revisit the discussion around common reasons why AI projects fail. Not every vendor solution solves your problem, regardless of what they may tell you.

Continue reading AI Today Podcast: Revisiting AI Failures – Vendor Driven Causes of Failure at Cognilytica.

Back in 2012 an article was published in HBR stating that Data Scientist was the sexiest job of the 21st Century. However, about a decade later, does this still hold true? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss how Data Project Manager is becoming the new sexy job title of the next decade, why certifications for PMs matter, and how certifications like CPMAI are quickly gaining traction in the PM community.

Continue reading Is Data Scientist still the sexiest job of the 21st Century? at Cognilytica.

Far too often, agencies, organizations, and consulting firms are running data and AI projects without taking the right steps to ensure their success. Agile and iterative approaches have become adopted best practices for application development projects, but why don’t we have something similar when it comes to advanced analytics, big data, and AI projects? Without using best-practices approaches that standardize steps for data preparation, data identification, and data protection, it’s hard to achieve the success you’re expecting, wasting money and resources, leading to failure.

Continue reading AI Today Podcast: An Intro to CPMAI Methodology at Cognilytica.

Like all technologies, Artificial Intelligence (AI) is not immune to the waves of obscurity, hyped promotion, plateauing of interest, and decline. In fact, the AI industry has been through two such major waves of interest, hype, plateau, and decline, commonly referred to as the “AI Winters”. Is the next AI Winter approaching? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the 3 main reasons for a winter: decline in investment, interest, and research.

Continue reading AI Today Podcast: Is the next AI Winter approaching? at Cognilytica.

Level 3 Intelligent Automation allows you to address the greatest challenges of unpredictability and variability and be able to achieve autonomous process discovery, autonomous process analytics, and autonomous process optimization. But is Level 3 Intelligent Automation right for your team or process? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss what Level 3 Intelligent Automation is, what questions you need to ask to identify opportunities for Level 3 automation, and some of the challenges with Level 3 automation.

Continue reading AI Today Podcast: Automation Roadmap Series: Level 3 Intelligent Automation at Cognilytica.

Level 2 Intelligent Automation allows you to address greater challenges of unpredictability and variability. But how do you know if Level 2 Intelligent Automation is even right for your team? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss what Level 2 Intelligent Automation is, how to go beyond NLP & computer vision to use cognitive technology to help spot patterns & anomalies, as well as some of the challenges Level 2 Intelligent Automation presents.

Continue reading AI Today Podcast: Automation Roadmap Series: Level 2 Intelligent Automation at Cognilytica.

Adding intelligence to automation enables greater degrees of variability and unpredictability. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss what it means to have Level 1 automation to handle variability and unpredictability, how to incorporate NLP and computer vision to help handle tasks with unstructured data, some of the challenges Level 1 automation can present, and what the key ingredient to Level 1 automation is.

Continue reading AI Today Podcast: Automation Roadmap Series: Advancing to Level 1 Intelligent Automation at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer dive deep into Level 0 Automation, why so-called “dumb” automation provides tremendous value to your team when implemented correctly. This episode shares examples for immediate ROI with Level 0 automation, how your team should go about identifying and prioritizing opportunities for Level 0 automation, how to plan and iterate, then implement automation.

Continue reading AI Today Podcast: Automation Roadmap Series: Starting with Level 0 Automation at Cognilytica.

For organizations who want to get started on their AI journey, a great first place to start is with automation. However, what exactly do you automate? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss how to find automation opportunities in business processes, questions your team should ask when figuring out what to automate, and when and when not to start with “low hanging fruit”.

Continue reading AI Today Podcast: Automation to Intelligence Roadmap Series: What to automate? at Cognilytica.

In our first ever AI Today podcast we asked the question “Does AI Matter?” and we revisited this question in our one year anniversary podcast as well. Now about 5 years from our first ever podcast episode we wanted to ask this question again: Does AI still matter in 2022? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer dig into this question and share how AI has changed and evolved over the past 5 years.

Continue reading AI Today Podcast: Does AI Still Matter in 2022? at Cognilytica.

For organizations who want to get started on their AI journey, a great first place to start is with automation. However before even figuring out what to automate you should have a solid understanding of your business processes and tasks. But, what exactly is a business process? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss what a business process is, define processes versus tasks, and bring this into the context of automation.

Continue reading AI Today Podcast: Automation to Intelligence Roadmap Series – What is a Business Process? at Cognilytica.

Data science is transforming business and generating new value across the organization. However, for large organizations they need a centralized group that centers on a discipline’s vision, governance, technique, and framework. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer Venkat Gunnu who is Senior Director, Data Science & Innovation at Comcast.

Continue reading AI Today Podcast: Interview with Venkat Gunnu, Senior Director, Data Science & Innovation at Comcast at Cognilytica.

For organizations who want to get started on their AI journey, a great first place to start is with automation. However, figuring out what to automate, why to automate, and what return on investment (ROI) it will provide can be tricky. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss level 0 automation – what is it, why organization should look to automate processes, and what questions to ask in order to get started.

Continue reading AI Today Podcast Roadmap Series: From Automation to Intelligence – What should we automate and why at Cognilytica.

Shopify has over 1.7 million merchants across over 175 countries, with hundreds of millions of consumers shopping at their stores. By leveraging the scale of their data they are able to create new experiences for their merchants, and apply Machine Learning at scale. In this episode of the AI Today podcast, hosts Kathleen Walch and Ron Schmelzer interview Ella Hilal, who is the Head of Data Science, Engineering, Revenue and Growth at Shopify.

Continue reading AI Today Podcast: Implementing AI at Scale, Interview with Ella Hilal, Head of Data Science, Engineering, Revenue and Growth at Shopify at Cognilytica.

As companies are looking to leverage cognitive technology, and deploying machine learning models, organizations need to make sure they have the correct people, processes, and technology in place to succeed. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss with Anil Kumar, Exec. Director AI Industrialization at Verizon what AI industrialization is and how Verizon is moving from pockets of AI/ML to AI/ML being implemented across the organization.

Continue reading AI Today Podcast: What is AI Industrialization? Interview with Anil Kumar, Exec. Director at Verizon at Cognilytica.

The idea of bringing organizations from automation to intelligence is about the journey, not the destination. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss and overview of the automation to intelligence journey including introducing benefits of automation, discussing why the automation journey matters, and how to go about moving up the ladder of automation to intelligence.

Continue reading AI Today Podcast: Roadmap Series: Getting Started on the Automation to Intelligence Journey at Cognilytica.

Heavily regulated industries such as healthcare can pose unique challenges, but also provide unique opportunities with it comes to AI and ML. In this episode of the AI Today podcast, hosts Kathleen Walch and Ron Schmelzer interview Vignesh Shetty who is Senior Vice President & General Manager Edison AI and Platform at GE Healthcare Digital.

Continue reading AI Today Podcast: AI and Healthcare – Interview with Vignesh Shetty SVP & GM Edison AI and Platform at GE Healthcare Digital at Cognilytica.

At a very fundamental level facial recognition is a way of recognizing a human face through technology. Seems straight forward enough, right? Not so fast. For many industries, facial recognition technology is still a gray area, clouded with mystery and mistrust. In this episode of the AI Today podcast, hosts Kathleen Walch and Ron Schmelzer provide an overview of how facial recognition works, discuss the concerns and issues around facial recognition technology, news about how the technology was misused or raised ethical concerns, and pose the question: Is facial recognition technology a technology that is too difficult to get right in practice?

Continue reading AI Today Podcast: The Challenges and Issues with Facial Recognition at Cognilytica.

Machine learning algorithms need examples of data from which they can learn, especially supervised machine learning algorithms. However, one big challenge for those looking to put machine learning into practice is the lack of a sufficient quantity of good quality data examples from which to train systems. To address the needs for large quantities of high quality data, vendors have emerged to provide computer-generated data, known as synthetic data, that matches the range and quality of data needed to train systems.

Continue reading AI Today Podcast: Overview of Synthetic Data at Cognilytica.

This podcast episode provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. Data is at the heart of AI. It should be no surprise then that proper data management is crucial for AI projects. This podcast is an excerpt from our Cognilytica Education course discussing data pipelines. In this clip we discuss the training pipeline the inference pipeline.

Continue reading AI Today Podcast: AI Education Series: Data Pipelines at Cognilytica.

As the markets for Data, Automation, Analytics, and AI continue to evolve, so too does Cognilytica’s coverage of these areas. In today’s podcast we discuss how we are expanding our current Cognilytica Classification of the AI Vendor Ecosystem to include a data infrastructure layer. Within this layer falls data generation, big data storage and query, and data engineering and DataOps.

Continue reading AI Today Podcast: The Expanding Data Infrastructure Layer at Cognilytica.

In order for many machine learning algorithms to be trained, especially supervised learning algorithms, they need to be fed relevant data along with the desired meaning of the data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer provide an overview of the data labeling market, what “ground truth” labeling is, the different data labeling and annotation needs, and data labeling and annotation use cases.

Continue reading AI Today Podcast: An Overview of the Data Labeling Market at Cognilytica.

On today’s AI Today podcast hosts Kathleen Walch and Ron Schmelzer are going to do their annual AI Market Forecast & Trends. They will spend some time reflecting on what they are seeing in the market and where they forecast the AI markets will go in 2022. They will talk about the Data Labeling, Data Engineering & Preparation, ML Platforms, ML Ops, and RPA markets.

Continue reading AI Today Podcast: The State of AI (and AI Today) heading into 2022 at Cognilytica.

With 2021 quickly fading into the rear view mirror it’s time to do our annual yearly AI recap. On today’s podcast hosts Kathleen Walch and Ron Schmelzer are going to take a look back at 2021 as it relates to AI and share some of the hottest news from the past year, including acquisitions and fund raises, and some of our favorite podcasts of 2021.

Continue reading AI Today Podcast: Looking back at AI (and AI Today) in 2021 at Cognilytica.

AI is not new – in fact the term was coined in 1956. Why then, if it’s been around for decades, and we are now on our third major wave of AI interest and hype, do we keep making the same mistakes that have brought us to two previous AI Winters? Are we still overpromising what AI can deliver?

Continue reading AI Today Podcast: AI Failure Series – Overpromising and Underdelivering at Cognilytica.

Earlier in 2021, The National Security Commission on AI (NSCAI) published their final report that presents the NSCAI’s strategy for winning the artificial intelligence era and provides a strategy to get the United States AI-ready by 2025. On this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer had the opportunity to interview Gilman Louie who is one of 15 commissioners for the National Security Commission on AI (NSCAI) and co-founder and partner of Alsop Louie Partners, an early-stage technology venture capital firm.

Continue reading AI Today Podcast: Interview with Gilman Louie, Commissioner for the National Security Commission on AI (NSCAI) at Cognilytica.

For anyone following AI, it should come as no surprise that countries around the world are taking a vested interest in AI. In 2021 the NSCAI published their final report explaining the steps the United States must take to responsibly use AI for national security and defense, defend against AI threats, and promote AI innovation.

Continue reading AI Today Podcast: Interview with Mignon Clyburn, Commissioner for the National Security Commission on AI (NSCAI) at Cognilytica.

It’s important for organizations to understand all that’s involved that goes into the model. A common reason that AI projects fail is that the team does not understand the model and data lifecycle. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer dig deeper into this subject and share tips for organizations to overcome this common issue.

Continue reading AI Today Podcast: AI Failure Series – Not Understanding the Model & Data Lifecycle at Cognilytica.

AI is not the solution to all problems. And, not every vendor solution solves your problem, regardless of what they may tell you. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer continue the discussion around common reasons why AI projects fail. In this episode they dig into issues that can happen when companies don’t ask the right questions and get caught up believing vendor and industry hype.

Continue reading AI Today Podcast: AI Failure Series – Believing Vendor & Industry Hype at Cognilytica.

Far too often, organizations move forward with AI projects without having a clear understanding of how their AI and ML models are going to be used in the real world. This lack of real world understanding is a major reasons why AI projects fail. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer dig deeper into this topic, and share ways companies can overcome this issue.

Continue reading AI Today Podcast: AI Failure Series – The Real World Mismatch at Cognilytica.

Countries across the world are understanding that they can take advantage of the tremendous transformation presented by AI and cognitive technologies and position themselves for global competitiveness in the future. As a result, countries are coming up with their own unique AI strategies. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Albert King, Chief Data Officer of the Scottish Government to discuss the Scottish AI strategy that was published in March 2021.

Continue reading AI Today Podcast: Interview with Albert King, Chief Data Officer of the Scottish Government at Cognilytica.

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Felipe Flores, host of Data Futurology Podcast. On his podcast he talks about Data Science through a human lens and discusses the human side of data with leaders from across the globe.

Continue reading AI Today Podcast: Data Science through a Human Lens – Interview with Felipe Flores, host of Data Futurology Podcast at Cognilytica.

In order for projects to be successful, the time between concept to execution needs to be reasonably set. Far too often, we see the iteration time of AI projects to be months, if not years, from the initial pilot. Additionally, we see organizations run a proof of concept in a controlled lab setting (why?) rather than a pilot using real world systems.

Continue reading AI Today Podcast: AI Failure Series – Iteration Time & Proof of Concept vs. Pilots at Cognilytica.

This podcast episode provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. Data is at the heart of AI. It should be no surprise then that proper data management is crucial for AI projects. This podcast is an excerpt from our Cognilytica Education course “Managing Data for AI”. In this clip we discuss the history of how we stored data in the past and moving from transactional systems to analytics systems.

Continue reading AI Today Podcast: AI Education Series: Managing Data for AI at Cognilytica.

The saying garbage in is garbage out couldn’t be more true when it comes to data being fed into AI and ML models. In this podcast, hosts Kathleen Walch and Ron Schmelzer discuss the importance of data quality and why bad data is a main reason for AI project failure.

Show Notes:

• CPMAI Methodology
• CPMAI MethodologyIntro to CPMAI webinar
• AI Today Podcast: AI Failure Series – Data Quantity & Data Understanding Issues
• AI Today Podcast: AI Failure Series – ROI Misalignment

Continue reading AI Today Podcast: AI Failure Series- Data Quality Issues at Cognilytica.

Organizations are finding that data is only part of their AI strategy. In order to fully utilize their data, they need to be able to make sense of that data and effectively communicate the story their data is telling. In this episode of the AI Today podcast, hosts Kathleen Walch and Ron Schmelzer interview Mara Pometti, Global AI Strategist at IBM.

Continue reading AI Today Podcast: From Data Reporter to AI Strategist, Interview with Mara Pometti, Global AI Strategist at IBM at Cognilytica.

AI and ML projects revolve around data so it’s important to understand how much data you really need. Understanding how to plan, manage, and operationalize AI & ML Projects is crucial for project success. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer continue the discussion around common reasons why AI projects fail.

Continue reading AI Today Podcast: AI Failure Series – Data Quantity & Data Understanding Issues at Cognilytica.

This podcast episode provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. When creating ML models it’s important to focus on model evaluation and testing and evaluating AI models vs. the heuristic. This podcast is an excerpt from our Cognilytica Education course “Model Evaluation and Testing”. In this clip we discuss what is overfit and underfit and bias and variance of data.

Continue reading AI Today Podcast: AI Education Series: Model Evaluation and Testing at Cognilytica.

In order for a project to be successful, there needs to be some positive return on the investment (ROI) involved to get this project off the ground and into production. This ROI can be measured by cost savings, but also by people savings, resource savings, and/or time allocation savings.

A common reason we see AI projects fail is that the ROI is not justified.

Continue reading AI Today Podcast: AI Failure Series – ROI Misalignment at Cognilytica.

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Jessie J. Smith and Dylan Doyle, hosts of the Radical AI podcast. On their podcast they try to probe and advance the field of Artificial Intelligence Ethics so it was only natural to discuss what they see as the most common themes around responsible and ethical use of AI as well as where we currently stand with ethical AI.

Continue reading AI Today Podcast: The State of Ethical AI – Interview with Radical AI Podcast hosts Jessie J. Smith and Dylan Doyle at Cognilytica.

As part of the AI Failure Series, on this podcast, hosts Kathleen Walch and Ron Schmelzer dig into common themes and reasons we have seen why AI projects fail.

Why are so many AI projects failing when they don’t need to be? Various sources are quoting AI project failure rates upwards of 70-80%.

Continue reading AI Today podcast: AI Failure Series- AI projects are NOT like traditional software development projects at Cognilytica.

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Sanyam Bhutani, host of Chai Time Data Science podcast. As his podcast talks about Data Science, he shares with us where things really stand in enterprises with data science, some of the biggest trends emerging in data and data science today, and some of the mundane but crucial aspects to data science that people need to be aware of.

Continue reading AI Today Podcast: Data science in the Enterprise: Interview with Sanyam Bhutani, host of Chai Time Data Science podcast at Cognilytica.

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Alexandra Petrus, host of the Applied AI Pod. On her podcast she talks to anyone who is applying AI today including startup founders, startup engineers, AI community leaders, research scientists, innovation leaders, product builders, passionate AI practitioners.

Continue reading AI Today Podcast: Insights into the AI Startup Scene: Interview with Alexandra Petrus, host of the Applied AI Pod at Cognilytica.

This podcast episode provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. There are many paths to data science and different skills are needed for creating successful data scientists. These skills include curiosity, analytical thinking, performing analysis, taking a strong position and arguing that position, being a data driven problem solver, having an impact-driven mindset, and being good at storytelling.

Continue reading AI Today podcast: AI Education Series: Thinking and Acting Like a Data Scientist at Cognilytica.

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Andy Ilachinski and David Broyles, hosts of the AI with AI podcast. On their podcast they explore the latest breakthroughs in artificial intelligence and autonomy, as well as their military implications so naturally we discussed with them some of the biggest trends they are seeing emerging out of AI today, some of the challenges to AI adoption especially in military applications, and some of the surprising insights and trends they have seen over the 4 years they have hosted their podcast.

Continue reading AI Today Podcast: Interview with Andy Ilachinski and David Broyles, hosts of the AI with AI podcast at Cognilytica.

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Liberty Vittert & Xiao-Li Meng, hosts of the Harvard Data Science Review (HDSR) podcast. On their podcast they discuss news, policy, and business through the lens of data science so they shared ways in which data is being used or misused as well as some of the most interesting articles published in Harvard Data Science Review.

Continue reading AI Today Podcast: Interview with Harvard Data Science Review (HDSR) Podcast hosts Liberty Vittert & Xiao-Li Meng at Cognilytica.

This podcast episode provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. For AI to have a lasting positive impact it must be done responsibly. In our education we go into great detail explaining and breaking down AI, including fundamentals of AI including terms and concepts of AI and how it all fits together.

Continue reading AI Today Podcast: AI Education Series: Ethical & Responsible AI at Cognilytica.

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Craig Smith, host of the Eye on AI podcast. Just like with our podcast, Craig interviews thought leaders in AI. He shares with us interesting insights and common themes he has seen among guests as well as what guests have surprised him.

Continue reading AI Today Podcast: Interview with Craig Smith, host of Eye on AI podcast at Cognilytica.

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. In this episode hosts Kathleen Walch and Ron Schmelzer interview Alex Castrounis, the host from AI with Alex YouTube channel and Why of AI founder. We discuss the area of responsible AI including ethics, fairness, and safety as well as some of the biggest trends emerging in AI today.

Continue reading AI Today Podcast: From IndyCar To AI: An Interview With Alex Castrounis at Cognilytica.

This podcast episode provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. In our education we go into great detail explaining and breaking down AI, including fundamentals of AI including actually learning the terms and concepts of AI and how it all fits together. This podcast is an excerpt from our Cognilytica Education course “Data Preparation of AI”.

Continue reading AI Today Podcast: AI Education Series: Data Preparation for AI at Cognilytica.

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview David Asboth and Shaun McGirr, the hosts from Half Stack Data Science podcast. As their podcast talks about realities of Data Science in the enterprise, they share with us where things really stand in enterprises with their data science practices and some of the biggest trends emerging in data and data science today.

Continue reading AI Today Podcast: Interview with David Asboth and Shaun McGirr from Half Stack Data Science podcast at Cognilytica.

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Francesco Gadaleta, host of the Data Science at Home podcast. As his podcast talks about about data and data science trends, Francesco shares with us some of the biggest trends emerging in this area today as well as how organizations are dealing with and managing their data.

Continue reading AI Today Podcast: Interview with Francesco Gadaleta, host of Data Science at Home podcast at Cognilytica.

This podcast episode provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. In our education we go into great detail explaining and breaking down AI, including fundamentals of AI including actually learning the terms and concepts of AI and how it all fits together. This podcast is an excerpt from our Cognilytica Education course “Fundamentals of AI”.

Continue reading AI Today Podcast: AI Education Series: Fundamentals of AI at Cognilytica.

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Andrey Kurenkov and Sharon Zhou from the Let’s Talk AI Podcast. As their podcast covers the latest AI news, we discussed what they are seeing as some of the biggest trends emerging out of AI today.

Continue reading AI Today Podcast: Interview with Andrey Kurenkov and Sharon Zhou from Let’s Talk AI Podcast at Cognilytica.

Automation has provided tremendous value to organizations and agencies of all sorts. However, if you want to see real value from automation, and in particular Robotic Process Automation (RPA), it’s important to know what these bots can and can’t do, and how AI is being applied to help handle more complex tasks.

Hosts Kathleen Walch and Ron Schmelzer walk through different methodologies including the Cognitive Project Management for AI (CPMAI) methodology to provide you with the foundation needed for project success, especially as you incorporate AI into your intelligent automation projects.

Continue reading AI Today Podcast: Methodologies and Best Practices for Successful RPA Implementation at Cognilytica.

This podcast episode is part of our AI Education series and provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. In this podcast we’re sharing a clip from our Best Practices & Methodologies for Successful AI Implementation course. Knowing best practices for implementing AI on a large scale is critical for the success of your project.

Continue reading AI Today Podcast: AI Education Series: Best Practices & Methodologies for Successful AI Implementation at Cognilytica.

Many companies are trying to adopt AI at their organization. However, it’s important to have the right mindset and methodologies in place when adopting a transformative technology. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Sagar Indurkhya who is Head of NLP at Virtualitics. He shares with us challenges he has seen organizations face regarding AI and ML adoption, especially for non-technical users.

Continue reading AI Today Podcast: Interview with Sagar Indurkhya, Head of NLP at Virtualitics at Cognilytica.

The legal profession is still largely dominated by humans. However, AI and ML is steadily being adopted, enhancing legal processes and activities of all sorts. In this episode of the AI Today podcast, Cognilytica analysts interview Rick McFarland, Chief Data Officer at LexisNexis. He shares with us some of the challenges with AI adoption in the legal profession as well as some of the opportunities he sees around domain specific AI-driven Q&A platforms.

Continue reading AI Today Podcast: Are Legal Digital Assistants the future? Interview with Rick McFarland, Chief Data Officer at LexisNexis at Cognilytica.

This podcast episode provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. In our education we go into great detail explaining and breaking down AI, including applications of AI. Because, it’s one thing to learn the terms and concepts of AI but it’s another thing to see how AI can actually be applied.

Continue reading AI Today Podcast: AI Education Series: Applications of AI at Cognilytica.