Kyle Jourdan

As agentic AI shifts from pilots to production, organizations must convert fragmented data to trusted actions amid data quality issues, surging compute costs, and insight-action gaps. Join us to explore strategies: trusted data foundations, efficient full-context analytics, agentic frameworks unifying data/agents/assistants/platforms for scalable outcomes. Discuss how to empower both AI consumers and AI experience builders.

The term 'agentic AI' is all the rage these days, but there's still not much clarity around what it means. We'll walk through the basic building blocks of these agentic AI systems - predictive AI, generative AI, and workflow automation - and discuss why it's harder (and more important) than ever to ensure a trusted, enterprise-grade, and secure data backbone to get the reliable and trusted solutions our end-users are looking for. We'll also touch on market trends where we see the technology and capabilities evolving in the coming months.