Episode 358 | Real-World Context Engineering: Live Context for AI Agents

We’ve been talking about AI for years. Machine learning. Predictive analytics. Generative models. But something fundamental is changing. AI isn’t just generating content anymore — it’s taking action. Agents are moving from demo environments into production systems. They’re making decisions, triggering workflows, interacting with customers, and operating inside the core of the enterprise. So the big question becomes: are we looking at incremental progress, or a structural inflection point in enterprise architecture? Seth Wiesman, Field CTO at Materialize, joins the Millennium podcast — and he’s been vocal about a shift many organizations are just starting to grasp: most enterprise data platforms were designed for humans, not machines. In this episode, we’re digging into why traditional data lakes and warehouses may not be enough in an agentic world, why “time to trust in action” might become the defining leadership metric, and why stale context isn’t just a latency problem — it’s a business risk that touches revenue, resilience, and customer trust. Seth explores whether context infrastructure is becoming the next competitive moat, what it really means to build a “live digital twin” of your business, and how executives can take practical steps toward agent-scale systems — without ripping out everything they’ve already built. And perhaps most importantly: in the era of AI agents, why infrastructure discipline is so important.

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