Shows how .NET developers use Microsoft Foundry, Azure AI, Semantic Kernel and patterns like A2A and MCP to build and scale agent-driven, production-ready intelligent applications.In this podcast, we explore how .NET developers can rapidly build and scale intelligent, agent-driven applications using Microsoft Foundry. Learn how to integrate Azure AI capabilities, orchestrate multi-agent workflows with Semantic Kernel, and leverage modern patterns like A2A and MCP to create real-world, production-ready AI solutions. This talk focuses on practical architecture, developer productivity, and how to bring AI-powered applications to life faster within the .NET ecosystem.

Had a conversation with Joel Oleson about Enterprise AI Governance

You thought it was hard to herd cats and govern SharePoint. Now imagine lobster ranching, expect they aren’t in cages and they are all over the place! Climbing all over your enterprise data.
Let’s chat about the current and future state of agentic governance.

In this episode chat with the one of the creator behind Gtihub Agentic workflows to find out what inspired him and tell his story behind it. Peli traces the idea from continuous AI with GitHub Next to early prototypes running coding agents in CI/CD, and explains why automation experience from .NET testing and MakeCode learning sandboxes shaped the design. He defines agentic workflows as markdown-defined workers compiled to Actions, with layered security including containers, microVMs, firewalls, MCP-gated access, and a zero-secret policy.

https://github.com/github/gh-aw

I joined Art in a conversation Microsoft Office 365 copilot adoption and how he used copilot co-work in daily to do daily task.

AI Community Conference HK – September 4 (Co-hosted by our APAC team)

Boston Data and AI Saturday 2026 – October 3

Community Summit NA 2026 – Nashville, TN – October 12

We talk with Navyasree Potluri who is from Microsoft about FabricIQ Integration

In this episode we discuss the new Foundry Toolbox with Arafat Tehsin. Toolbox is a new way to centralise, configure, and reuse tools across all of your AI agents without re-configuring them in Microsoft Foundry. More information can be found below including link to his demohttps://github.com/arafattehsin/foundry-toolbox-demoshttps://arafattehsin.com/bloghttps://fedorai.com https://devblogs.microsoft.com/foundry/introducing-toolboxes-in-foundry/

Bernat Agulló is a data platform engineer based in Barcelona who speaks Spanish, English, Japanese, and some German.

Agulló has been a Microsoft MVP since 2022 and recently renewed the status for a fifth year.

His professional background in data engineering began around 2018, following earlier experience with Excel macros, SQL, and data pipelines like SSIS.

He gained recognition in the community by focusing on niche topics such as calculation groups and scripting, areas that were not widely covered by other presenters at the time.

1) How can my business migrate to AI & ERP?
2) How can we save time and money with this migration?
3) How can my business become stronger on AI with S/4?
As such, these firms have the great fortune of helping SAP-run companies achieve "Faster, stronger, more stable company" status.
✔️ Scale your SAP landscape while reducing complex code and staff
✔️ Generate a S/4 upgrade scenario with a team of experts
✔️ Increase productivity while reducing cost and complexity

https://demystify-ai-book.lovable.app/

https://ai-lead-link.lovable.app/

amazon.com/author/christophermcarter

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