Uploaded August 2026 | Updated September 2026, 2 weeks ago
In this demo, Databricks showcases a closed-loop AI business process for energy theft detection and revenue protection hosted on a Databricks App. You’ll see how energy providers can manage their own ML Models to flag suspicious accounts suspicious accounts, help investigators interpret risk signals, generate dispatch-ready reports, answer executive questions with trusted analytics, and automate board-level reporting on a single governed platform.
What you’ll learn from watching:
How to identify and prioritize likely energy theft cases from ML models in Databricks
How business users can interact with data intelligent Databricks Apps
How to embed AI in the business process to accelerate revenue recovery
How to deliver trusted KPI answers with Genie Agents
Learn more about Databricks for Energy in our industry forum: events.databricks.com/FY27Q2-IF-VirtualEnergyForum
In this demo, Databricks showcases a closed-loop AI business process for energy theft detection and revenue protection hosted on a Databricks App. You’ll see how energy providers can manage their own ML Models to flag suspicious accounts suspicious accounts, help investigators interpret risk signals, generate dispatch-ready reports, answer executive questions with trusted analytics, and automate board-level reporting on a single governed platform.
What you’ll learn from watching:
How to identify and prioritize likely energy theft cases from ML models in Databricks
How business users can interact with data intelligent Databricks Apps
How to embed AI in the business process to accelerate revenue recovery
How to deliver trusted KPI answers with Genie Agents
Learn more about Databricks for Energy in our industry forum: events.databricks.com/FY27Q2-IF-VirtualEnergyForum
