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.