DJ Sharkey

Data sharing between organizations has come a long way — but the next wave is about much more than moving files or granting table access. It's about delivering rich, intelligent experiences to partners, customers, and collaborators while keeping sensitive information protected on both sides. In this talk, we explore how the collaboration landscape is evolving: smarter defaults, stronger privacy guarantees, and AI-powered capabilities that make shared data more useful without increasing risk. You'll hear about the engineering principles behind building privacy-safe collaboration features at scale — balancing openness with control, and convenience with governance. Whether you work with external partners, internal business units, or cross-industry data networks, this session offers a look at where modern data collaboration is headed. Plus, see an early look at what's coming in a live demonstration.

Databricks Clean Rooms make privacy-safe collaboration possible for data, analytics, and AI — across clouds and platforms. Built on Delta Sharing, Clean Rooms enable organizations to securely share and analyze data together in a governed, isolated environment — without ever exposing raw data. In this session, you’ll learn how to get started with Databricks Clean Rooms and unlock advanced use cases including: - Cross-platform collaboration and joint analytics - Training machine learning and AI models - Enforcing custom privacy policies - Analyzing unstructured data - Incorporating proprietary libraries in Python and SQL notebooks - Auditing clean room activity for compliance Whether you're a data scientist, engineer or data leader, this session will equip you to drive high-value collaboration while maintaining full control over data privacy and governance.