Can AI agents eliminate a data team's most repetitive work?

Data teams face a productivity crisis as engineers spend most of their time on repetitive tasks, while knowledge gaps and growing data volumes strain capacity. Existing AI coding assistants often lack awareness of an organization's environment, producing code that requires manual rework.

This webcast highlights purpose-built AI agents tackling these challenges:

• An automated Spark upgrade agent for migrations, from planning to data quality validation
• A data-aware agent creating executable queries and ML pipelines without manual edits
• A multi-agent ecosystem enabling seamless IDE integration via MCP-based interoperability

Watch the full webcast to learn more.