Industry research shows only about a third of enterprises report sustained, enterprise-wide AI impact. In energy and industrial operations the gap is widest: OT and IT data are siloed, assets span decades of legacy systems, and pilots stall before they ever run on real data. The problem is not access to models. It is the absence of senior engineering embedded in the operational context to take AI from demo to production.

Frame builds on the Databricks Data Intelligence Platform as the data foundation and ML runtime for energy AI.

The person who scopes the work builds it. No junior teams, no offshore handoff, no slideware.

Big SIs dilute energy depth across hundreds of thousands of staff and hand off to junior teams. Generic AI boutiques cannot navigate OT, regulatory complexity, or the realities of energy operations. Frame was built to fill exactly that gap.

Book before the summit ends.