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Practical AI

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PodcastPractical AI

Open models and the future of Physical AI with NVIDIA

As AI moves beyond the cloud and into robots, vehicles, and other physical systems, new approaches to models, simulation, and inference are emerging. Daniel and Chris are joined by Ming-Yu Liu, Vice President of Cosmos Lab at NVIDIA, who shares his perspective on open models, world models, and the future of physical AI. They explore why open models matter for innovation, how world models can help AI understand and simulate the physical world, and what it could take to build increasingly capable physical AI systems.Featuring: Ming-Yu Liu – LinkedInDaniel Whitenack – Website, GitHub, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:NVIDIA CosmosSponsors:Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#ticketsPrediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiResources and Events:Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026

1 Oct share.transistor.fm

PodcastPractical AI

From AGENTS.md to Enterprise Deployment

AI agents are moving beyond laptops and prototypes and into enterprise environments where security, compliance, scalability, and reliability matter. Nick Kuhn from VMware Tanzu Platform joins Daniel and Chris to discuss what changes (and what doesn’t) when deploying agents alongside traditional applications. They explore agent build packs, MCP gateways, shared memory, identity, sandboxing, and what enterprises can learn from years of platform engineering. Nick also shares practical advice for organizations adopting agents today and looks at what the future of AI could mean for enterprise teams and software development.Featuring: Nick Kuhn – LinkedInDaniel Whitenack – Website, GitHub, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XSponsors:Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#ticketsPrediction Guard: A self-hosted AI control plane for running agents in high impact environments.

24 Sept share.transistor.fm

PodcastPractical AI

How to get discovered in AI search

In a Practical AI podcast episode, Liam Dunne and Ben Moore from Discovered Labs discuss how AI search is changing how people discover information. They explore the shift from traditional search engine optimization to AI search, what happens behind the scenes when large language models generate answers, and why appearing only in source citations isn't enough. They explain concepts like AI visibility, Reddit strategy, and how AI models represent information in their weights. They also look ahead to a future where AI agents don't just find websites but can interact with them and take actions on behalf of users.

17 Sept share.transistor.fm

PodcastPractical AI

Computer-Use Agents and the Future of the Agentic Internet

In the podcast, Demetrios Brinkmann and Chris Benson discuss how AI agents are becoming increasingly skilled at using computers and interacting with software to perform tasks on behalf of users. They cover topics including MCP (the standard that connects AI models to tools), agent harnesses (frameworks that govern how agents function), and how agents can communicate with each other. They also discuss how these tools are already automating everyday tasks, the challenges of implementing them in enterprises, and how the relationship between AI models and agent harnesses is evolving.

10 Sept share.transistor.fm

PodcastPractical AI

Less about Models; More about Architecture

In the podcast, Chetan Gupta, Chief AI Officer at Rackspace, discusses how companies should approach moving from experimenting with AI to deploying it in production. The key message is that organizations often focus too much on which AI models they choose and too little on how they build the architecture around them — how systems actually fit together. Gupta raises questions about AI governance, ensuring that AI complies with regulations, and where data is stored and processed.

3 Sept share.transistor.fm

PodcastPractical AI

Building the Foundation for the Agentic AI Era

Angie Jones, VP of Agentic AI Foundation, discusses building an ecosystem where AI agents—autonomous AI systems capable of performing tasks—along with tools and systems can collaborate at scale. She discusses open standards such as MCP (Model Context Protocol) and A2A that aim to enable different AI systems to work together. The segment also covers how organizations can increase AI usage among employees, the importance of neutral standards, how AI adoption looks globally, and how people can decide what to delegate to AI and what to do themselves.

28 Aug share.transistor.fm

PodcastPractical AI

AI Proficiency: From Users to Builders

The podcast discusses how organizations should think about AI competence at different levels within their teams, from beginners to advanced builders. Mike Lewis from TiER1 Performance presents a framework (L0–L3) for how companies can help employees work with AI without simply forcing adoption. The conversation focuses on identifying the right people to build AI solutions, converting experience into actual processes, and finding real business value from AI investments.

25 Aug share.transistor.fm

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