If you've worked with OT data, you know it's some of the richest data your business has, and some of the hardest to use outside its home system. AVEVA PI does the heavy lifting: capturing high-frequency telemetry from thousands of assets and keeping it secure and reliable. The challenge is bringing that data into a modern analytics environment while handling the nuances that come with industrial time-series.

This session is a practitioner's guide to doing that. We'll share real stories and lessons from landing AVEVA PI time-series data into the Databricks Lakehouse, and walk through the options for bringing it in. Once it lands, we'll show how your team can ask natural-language questions over telemetry, run real-time ML anomaly detection, and build GenAI copilots that explain system behavior. Then we'll talk about the value this brings, and what becomes possible when PI data sits alongside other internal systems like Maximo and PODS.