Data intelligence is moving fast, and Mitch Ashley and Brad Shimmin zero in on the moves that matter. From Microsoft’s latest announcements to the renewed emphasis on relational operational data for agentic systems, they outline why enterprise AI teams are rebuilding their stacks around trustworthy context and predictable governance.
Brad explains Dataiku’s strategic pivot toward orchestration that treats the reasoning layer as a first-class citizen, stitching together SQL, vector and graph workloads into unified data management flows. Mitch dissects how Microsoft is hardening the relational backbone so agentic services can tap live operational data without blowing past compliance guardrails.
The duo also explores how meta-prompting frameworks, shared semantic layers and telemetry-driven guardrails accelerate development without fragmenting production data. Their thesis is clear: sustainable agentic systems require disciplined relational operational data, opinionated tooling from Microsoft and Dataiku, and a product mindset that unifies pipelines instead of bolting on yet another AI service.