Microsoft’s Agentic Data Stack: Relational Ops, Meta-Prompting & Dataiku’s Reasoning Layer | Agents of Dev Episode 17

Data intelligence just found its reasoning layer.

In this episode of Agents of Dev, Mitch Ashley and Brad Shimmin unpack Microsoft’s latest announcements and explain why relational operational data is quickly becoming the backbone of agentic systems.

As AI moves beyond simple generation into reasoning and decision-making, the conversation shifts from models alone to the data foundations that make intelligent agents reliable, contextual, and enterprise-ready. They also break down Dataiku’s strategic pivot toward meta-prompting workflows, a major shift that focuses on orchestrating prompts, tools, and reasoning chains rather than just building models.

This approach signals a broader industry movement toward structured AI development, where workflows, governance, and repeatability matter just as much as model performance. The episode explores how the emerging reasoning layer is beginning to unify data management, AI orchestration, and application development into a single stack, along with the tooling that is accelerating development on top of relational operational data.

The result is a new architecture for AI-driven applications—one where data platforms, reasoning engines, and agent frameworks work together to power the next generation of intelligent systems.

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