Harish Gaur

AI is only as good as the data that fuels it. To build and scale models, organizations need a way to move past fragmented data silos and complex ETL. OpenSharing is the next evolution of Delta Sharing, the most widely adopted open protocol for secure zero-copy data sharing We’ll dive deep into: Fueling AI With Openness: How to share live data and AI assets with any recipient—regardless of their platform—to accelerate model training and deployment. Latest Innovations: A first look at enhanced governance, automated provider workflows and expanded support for complex assets like AI assets and unstructured data. Real-World Scale: Real-world use cases showing how organizations use the protocol to unify their data ecosystems and manage AI assets at scale. From live demos to architectural best practices, you’ll walk away with a roadmap to unify your data ecosystem and lead the next wave of open collaboration.

Databricks continues to redefine how organizations securely and openly collaborate on data. With new innovations like Clean Rooms for multi-party collaboration, Sharing for Lakehouse Federation, cross-platform view sharing and Databricks Apps in the Marketplace, teams can now share and access data more easily, cost-effectively and across platforms — whether or not they’re using Databricks. In this session, we’ll deliver live demos of key capabilities that power this transformation: - Delta Sharing: The industry’s only open protocol for seamless cross-platform data sharing - Databricks Marketplace: A central hub for discovering and monetizing data and AI assets - Clean Rooms: A privacy-preserving solution for secure, multi-party data collaboration Join us to see how these tools enable trusted data sharing, accelerate insights and drive innovation across your ecosystem. Bring your questions and walk away with practical ways to put these capabilities into action today.