Agentic AI in Data Engineering with Microsoft

From Automation to Autonomous Data Engineering

Agentic AI in Data Engineering marks a paradigm shift in how data engineering workflows are designed and executed. Unlike traditional automation, autonomous data engineering introduces goal-driven AI agents for data that can reason, make decisions, and adapt to dynamic environments.

With Microsoft, we’ll look at how teams are applying these approaches across modern cloud data platforms.

Join the Webinar

Explore how Agentic AI enables intelligent orchestration of pipelines, AI-driven data quality, automated data validation, schema evolution, data model generation, and real-time workload optimization across modern Microsoft data ecosystems.

Understand Multi-agent Systems for Your Data

We will discuss practical use cases, architectural patterns, and the role of multi-agent systems working together to manage, monitor, and optimize data workflows across complex platforms.

Apply Agentic AI to Real-World Data Use Cases

Join us to see how enterprises are applying AI agents for data to move beyond static automation toward self-improving, resilient, and scalable data ecosystems.

• 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

Calibrate Enterprise Intelligence with Hexaware

Learn how enterprises put agentic AI into action across real data environments within high compliance industries.