Practical AI
Daniel Whitenack and Chris Benson
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!
Episodi
Models, Harnesses, and Multi-Agent Systems
Models, Harnesses, and Multi-Agent Systems
Reconstructing how OpenAI agents attacked Hugging Face
Surviving the New Economics of a Post-Agentic World
The Future of AI Infrastructure with CoreWeave
Building Durable AI Agents
Image Generation and Visual Intelligence with Black Forest Labs
AIUC-1: Building trust in AI agents
Zero Trust for AI Agents
Breaking down the 2026 Stanford AI Index Report
Rebooting Enterprise AI with MCP and Kubernetes
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