The endless excitement around Agentic AI might seem to eclipse the traditional blocking and tackling of data management, but don’t be fooled. The fundamentals of working with data are now more important than ever. If anything, the lure of AI puts added pressure on teams to button down their data pipelines and move closer to optimal data orchestration, whether for data warehousing, RAG models, or training the next generation of deep learning modules.

Register for this episode of InsideAnalysis to learn best practices for getting your data house in order! Host @eric_kavanagh will explain why Responsible AI starts and ends with data quality. He’ll be joined by Ariel Pohorles and Mani Gill of Boomi, who will demonstrate why optimal data flows will be crucial for success with AI. Attendees will learn:

 • the power of data orchestration for optimizing AI
 • why a platform approach to data management is crucial
 • the importance of feeding AI Agents with trusted, real-time data
 • how organizations can overcome data inertia to catch the AI train