Explore an intelligent, action-driven approach to bridge Data Engineering and AI/ML workflows in this 22-minute conference talk that delivers continuous data trust through comprehensive monitoring, validation, and remediation across the entire Databricks data lifecycle. Discover how Acceldata's Agentic Data Management (ADM) platform ensures end-to-end data reliability across Databricks from ingestion, transformation, feature engineering, and model deployment while bridging data engineering and AI teams by providing unified insights across Databricks jobs, notebooks and pipelines with proactive data insights and actions. Learn how this platform accelerates the delivery of trustworthy enterprise AI outcomes by detecting multi-variate anomalies, monitoring feature drift, and maintaining lineage within Databricks-native environments, presented by Joe Murphy, Principal Architect at Acceldata.