AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion
Latest Episodes
AI Everywhere with Software and Hardware: Interview with Wei Li, Intel [AI Today Podcast]
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 a
Lowering Barriers to Entry for AI: Interview with Nuri Cankaya, Intel [AI Today Podcast]
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.
AI’s Impact on Healthcare: Interview with Dr. Jesse Ehrenfeld, AMA [AI Today Podcast]
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
The People Side of AI: Interview with Ian Beacraft, Signal and Cipher [AI Today podcast]
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
Explainable AI Concepts [AI Today Podcast]
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
Governed AI Concepts [AI Today Podcast]
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 accountabil
Determining AI Project Costs [AI Today Podcast]
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 i
Transparent AI Concepts [AI Today Podcast]
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 th
Properly Scoping AI Projects [AI Today Podcast]
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