Although enterprises have invested in extracting, storing, and moving massive amounts of data, only 13% are successfully achieving ROI from their AI initiatives, according to a global study of over 2,000 executives . TTo overcome the challenges of data fragmentation, which can hinder AI implementation, companies need a transition to real-time workloads across the data to AI stack. In this webinar, join Ava Chawla, Field CTO, Sales Engineering at EDB, as she shares how to build end-to-end data pipelines that unlock real-time workloads that interoperate across the data stack, enabling sovereign agentic AI. Watch now to learn more about: Eliminating the ETL tax and stale-context latency Operationalizing AI agents at scale Aligning technical capabilities with enterprise goals Bridging the gap between always-on transactional data and open data lakehouses
