Agentic AI in data engineering is changing how modern data teams work.
Instead of basic automation, autonomous data engineering uses smart, goal-driven AI agents for data engineering that can adapt and improve over time.
With multi-agent systems, teams can build intelligent data pipelines that are more reliable, scalable, and support stronger AI-driven data quality.
In this webinar with Microsoft, we’ll show how these approaches help across Microsoft data platforms to create better data ecosystems.
Learn How to Apply Agentic AI to Real-World Data Use Cases
See how enterprises are using AI agents for data to build smarter, more adaptive data environments.
- Learn how to architect intelligent data pipelines
- Uncover practical use cases & industry impact
- Map agentic use cases to real business scenarios
- Get adoption roadmaps for self-improving, scalable data ecosystems
Share
