Session
Sponsored by: Acceldata | Trust at the Speed of Agents: Reliable AI and Data on Databricks
Overview
| Experience | In Person |
|---|---|
| Track | Artificial Intelligence & Agents |
| Industry | Healthcare & Life Sciences, Retail & Consumer Goods, Financial Services |
| Technologies | Unity Catalog, Databricks Agents, Lakebase |
| Skill Level | Intermediate |
As enterprises deploy AI agents across Databricks at unprecedented pace, trust at production speed requires a complete trust platform. This session covers how Acceldata integrates three layers — data observability, agentic data management, and Agent Observability — into a single operating model for reliable AI on Databricks. Each layer reinforces the next: observability without action is alerting, action without observability is guessing, and agents without governance is risk. From anomaly detection through autonomous remediation to agent trust, this approach points toward the self-governing lakehouse where data, agents, and policies stay in lockstep without humans in every decision.
Session Speakers
Joe Murphy
/Principal Architect, Sr. Manager
Acceldata