Every geospatial use case a utility takes on, from vegetation management, wildfire risk, storm response, GIS, drone inspection, or asset identification, rests on a common data approach. Build it once, and each new use case compounds business value faster with a unified, agent-ready foundation.

This session shows how Ameren is building that foundation, then goes deeper on one use case: GIS drift. Replaced poles, missing work orders, and field fixes widen the gap between your map and the actual grid. Ameren is closing it at scale, using drones and AI to inspect assets and update the GIS system of record instead of leaving teams with thousands of unreviewed photos. You'll see what a production-ready drone-to-GIS workflow looks like and how to launch a pilot without a full GIS overhaul.

Session Takeaways:

• Build the Foundation First: See how a unified AI agent-ready foundation compounds value across geospatial use cases.
• Understand GIS Drift: Learn why maps lose accuracy and traditional audits fall short.
• Apply AI Detection:  See how AI finds and maps assets from drone imagery.
• Launch a Pilot: Design a low-risk reconciliation project that avoids multi-year cleanups.

By attending this session, you agree to your information being shared with sponsors Lovelytics and Databricks. Please refer to Lovelytics Privacy Policy and Databricks Privacy Policy for more information on how data is collected and processed.