Join Michael Curry’s session (Tue 2:15 PM)
If you’re attending the Gartner Data & Analytics Summit next week (March 9–11, 2026 | Orlando, FL), add this to your calendar:
Michael Curry — “From Pilot to Production: 5 Shifts for an AI‑Ready Data Estate” Tuesday, 2:15 PM
A lot of us have lived the same pattern: We get an AI pilot to work well in a demo, then it hits the “pilot-to-production wall”—when trust gets questioned, data and content don’t line up, controls become a blocker, and early wins stall.
Michael’s session focuses on the practical shifts leading teams are making to move beyond the barriers—especially as LLMs and agent-style workflows become more common in real operations. Expect clear language, real-world framing, and a set of actions you can take back to your desk.
Michael gives name and substance to the issues practitioners see every day:
- No measurable trust (quality debates happen after failures)
- Disconnected data and content (tables vs documents vs policies)
- Weak usage controls (hard to prove who/what accessed what)
- Not agent-ready (agents hit raw tables; schemas change; automations break)
- No guardrails (users detect failures; risk and cost drift)
These are system problems. The fixes are operational and architectural, not “add one more dashboard.”
Let’s start the conversation
Whether you’re attending Tuesday at 2:15 PM, or not, reply here with the biggest pilot-to-production wall you’re hitting:
- Which wall is hardest right now?
- Trust SLAs, data + content unification, sovereignty/audit, agent-ready design, ML guardrails
- What is your current production target?
- LLM Q&A, RAG, copilots, agent workflows, analytics automation, compliance reporting
- What is your biggest blocker?
- Ownership, tooling, security approvals, data quality, content governance, cost
After the Summit, we’ll post a follow-up recap in this forum with the key takeaways, practitioner implications, and a simple “next steps” checklist to help you apply the ideas quickly.
