Sponsored by: Acceldata | Agentic Data Management: Trusted Data for Enterprise AI on Databricks

An intelligent, action-driven approach to bridge Data Engineering and AI/ML workflows, delivering continuous data trust through comprehensive monitoring, validation, and remediation across the entire Databricks data lifecycle. Learn how Acceldata’s Agentic Data Management (ADM) platform:

• Ensures end-to-end data reliability across Databricks from ingestion, transformation, feature engineering, and model deployment.
• Bridges data engineering and AI teams by providing unified insights across Databricks jobs, notebooks and pipelines with proactive data insights and actions.
• Accelerates the delivery of trustworthy enterprise AI outcomes by detecting multi-variate anomalies, monitoring feature drift, and maintaining lineage within Databricks-native environments.