Mengxi Chen

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.

Delta Sharing is revolutionizing how enterprises share live data and AI assets securely, openly and at scale. As the industry’s first open data-sharing protocol, it empowers organizations to collaborate seamlessly across platforms and with any partner, whether inside or outside the Databricks ecosystem. In this deep-dive session, you’ll learn best practices and real-world use cases that show how Delta Sharing helps accelerate collaboration and fuel AI-driven innovation. We’ll also unveil the latest advancements, including: - Managed network configurations for easier, secure setup - OIDC identity federation for trusted, open sharing - Expanded asset types including dynamic views, materialized views, federated tables, read clones and more Whether you’re a data engineer, architect, or data leader, you’ll leave with practical strategies to future-proof your data-sharing architecture. Don’t miss the live demos, expert guidance and an exclusive look at what’s next in data collaboration.