Abstract
AI agents are everywhere, yet few make it to production. The problem isn't the models—it's the data. Traditional databases store current state, but AI systems need to understand sequences, causation, and history to reason effectively. Every UPDATE and DELETE destroys the context AI needs.
Event sourcing captures every state change as an immutable fact. This talk explores why event-native architectures are emerging as the foundation for reliable AI agents—providing the context that reduces hallucinations, the audit trails that enable compliance, and the coordination primitives that multi-agent systems require.
You'll leave with practical patterns for building AI systems that actually make it to production.
Speaker
Tony Young
Principal Solutions Architect @Kurrent
Tony is a motivated professional with many years pre-sales / solutions / enterprise architecture and customer management experience. He is able to drive customers to success, build / foster / repair relationships, recognize project deadlines and priorities, and is organized and able to meet the ever-changing needs of his clients. Tony is able to speak to clients on a variety of technical levels and on a breadth of subjects. He has also spent considerable time building teams, mentoring and assisting more junior members of the teams he works with
Session Sponsored By
Kurrent is the event-native data platform that stores and streams real-time data with historical context from origination to destination for optimal AI, analytics and application outcomes
Date
Wednesday Mar 18 / 10:35AM GMT ( 50 minutes )
Location
Westminster (4th Fl.)
Video
Video is not available
