The rise of Agentic AI marks a paradigm shift in how data engineering workflows are designed and executed. Unlike traditional automation, Agentic AI introduces autonomous, goal-driven agents capable of reasoning, decision-making, and adapting to dynamic environments. This webinar explores how Agentic AI can revolutionize data engineering by enabling intelligent orchestration of pipelines, automated data quality checks, schema evolution, data model generation, and real-time workload optimization. We will discuss practical use cases, architectural patterns, and the integration of multi-agent systems with modern data platforms. Join us to understand how Agentic AI empowers organizations to move beyond static automation toward self-improving, resilient data ecosystems.
Key Learning Objectives
- Architecting Intelligent Data Pipelines
- Practical Use Cases & Industry Impact
- Apply agentic use cases to real business scenarios
- Gain insights into how organizations can adopt Agentic AI to build self-improving, scalable data ecosystems
