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. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss prompt chaining. This is part 2 in our 6 part series on Prompt Engineering Best...

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. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer dig into using a prompt pattern. They explain what prompts are, why good prompts...

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. How is AI transforming the aviation industry? Transforming industries,...

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. He is also a practicing cardiologist at Mass General Brigham (MGB). He also recently presented at the 2024 SXSW Conference and...

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. Additionally, he shares the most successful application of AI projects both at Intel and with customers. But, with success there can also be challenges....

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. He also shares challenges organizations face with advanced...

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. What is the impact of artificial intelligence in healthcare? AI is probabilistic and not deterministic so the results will never be 100%...

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. During this interview Ian shares innovative ways that he is working with teams of all backgrounds to...

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...

Who is on the AI Team?

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. What is governing AI? At a...

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. Iterate Often. Starting small REALLY matters if you want to control costs. And, the cost has to do with the scope of the iteration. Next, you need to think about buy vs build. Can you buy an...

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. What does AI transparency mean? It's one thing to hear people talk about transparency, but what does it really mean in...

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. We discuss how to start with small accessible parts as well as how to incorporate the Seven Patterns of AI to...

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. Has AI crossed the...

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. And, unfortunately, this practice has been making it's way into AI. In this episode of the AI Today podcast, hosts Kathleen Walch and Ron Schmelzer discuss pseudo...

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. Additionally from data stored for a wide range of purposes, data processes, and other aspects. It results in...

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. In this episode of the AI Today podcast...

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. With the recent surge of interest in...

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. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas. Trustworthy AI...

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.  Whenever there’s a new major trend in IT, there’s a desire to signal to the world just how serious your organization is about that trend. AI is the hottest trend in technology in...

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. This episode of the AI Today podcast features an exclusive interview with Selvie Thevathasan, who is...

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. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas.  In this episode...

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. What is a retrieval augmented...