Podcast
Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
Practical AI is hosted by Daniel Whitenack , Chris Benson and Jerod Santo .
5 Nov 2026
Abundant Intelligence at the Midwest AI Summit Part 2
With Don Barger , Darren Taillie and Mark Lay
29 Oct 2026
Abundant Intelligence at the Midwest AI Summit
With Heidi Porter , Kevin Solorio , Chris Shinkle and Andrew Dunlap
22 Oct 2026
Exploit Development, Agentic Vulnerability Discovery, and Fake PoCs
With Spencer McIntyre
15 Oct 2026
8 Oct 2026
Narrative intelligence and the human advantage
With Reed Frerichs
1 Oct 2026
Open models and the future of Physical AI with NVIDIA
With Ming-Yu Liu
24 Sep 2026
From AGENTS.md to Enterprise Deployment
With Nick Kuhn
17 Sep 2026
How to get discovered in AI search
With Liam Dunne and Ben Moore
10 Sep 2026
Computer-Use Agents and the Future of the Agentic Internet
With Demetrios Brinkmann
3 Sep 2026
Less about Models; More about Architecture
With Chetan Gupta
28 Aug 2026
Building the Foundation for the Agentic AI Era
With Angie Jones
25 Aug 2026
AI Proficiency: From Users to Builders
With Mike Lewis
Demetrios Brinkmann (5 episodes), Joyce Nabende (4 episodes), Adam Stacoviak (3 episodes), Rajiv Shah (3 episodes), Natalie Pistunovich (3 episodes), Donato Capitella (2 episodes), José Valim (2 episodes), Don Beyer (2 episodes), Prashanth Rao (2 episodes), Solana Larsen (2 episodes), Andrew Burt (2 episodes), Jared Zoneraich (2 episodes), and 309 more.