Operations | Monitoring | ITSM | DevOps | Cloud

Databricks built the most capable AI platform the enterprise has ever seen at Data and AI Summit 2026. The data on who actually earns a return from it tells a more sobering story. Here is what changed at the summit, and what it means for leaders already on the platform. Ten minutes into the Data + AI Summit 2026 keynote, Ali Ghodsi, CEO of Databricks, said something most enterprise leaders were not prepared to hear: AGI is already here.

A senior CSM managing 25 enterprise accounts can run effective QBRs, identify expansion signals, and execute renewal preparation with discipline. At 50 accounts, the function becomes reactive. Reactive customer success is the most reliable leading indicator of declining NRR (Net Revenue Retention).‍ The default response has been headcount. It no longer works.

At least 30 minutes disappear before the average field technician can begin the actual repair. That time goes into searching for part numbers, procedures, and documentation across fragmented systems. Across 1,000 technicians and 250 working days, even this conservative estimate adds up to at least 125,000 hours of productive capacity lost to lookup activity. Yet this loss rarely appears as a separate line item on any field service P&L. This is a critical information architecture problem.

ServiceNow's internal IT operations now resolve more than 90% of employee requests through autonomous agents. The platform that demonstrated this in Las Vegas earlier this month is the same platform sitting in your environment right now. So why isn't your operation running the same way? This is the question every CIO should have walked out of Knowledge 2026 with.