Why watch?
Watch on-demand to learn how to create a data architecture that connects your enterprise data to your AI
Future of the Industry: Hear from industry luminaries on the AI context landscape; what's possible and how you should design data architecture to balance governance, security, and maintenance with the benefits of AI.
Our Vision: Listen to keynotes from CData's CEO and product leadership on how we are building our integration and connectivity products to feed AI—including incorporating the Model Context Protocol
Real-world Examples: Tune in for real-world examples and demos of how AI can help with your data management tasks and how you can use AI with your enterprise data sources.
Sessions
CData Leadership
with Special Guests
How Winners Are Wiring Their Data Infrastructure for the Agent Economy
Sami Hero
CEO
Bringing Data Modeling to the Masses with AI and Embedded Connectivity
Ittichai Chammavanijakul
Senior Digital Automation Manager
How Zebra Technologies Saved Hundreds of Hours Monthly with Agentic Order Processing Automation
Jessica Smith
VP of Product
AI Readiness Starts with Trusted Data
Marcelo Lavanhini
CFO, RLTYco
Benjamin Lehrer
CEO, First Water Finance
Scaling Flexible Financial Analytics with CData at RLTYco and First Water Finance
Daniel Schaefer
Principal Solutions Engineer
How Sisense Delivers AI-Ready Insights in Any App, Even Without a Clean Data Stack
Harshit Kohli
Sr Technical Account Manager, AWS
Mike Albritton
SVP, Cloud, CData
AI Needs Data, and Other Insights From New Research and Early AWS AI Implementations
Sarab Narang
VP of AI GTM
Rewire your Enterprise with Connected Data for Autonomous Agents
Philip Stephens
Senior Staff Software Engineer
Mike Albritton
SVP, Cloud, CData
Powering Enterprise Agentic AI with Google's A2A and CData
