Session
Building Secure AI-Powered Analytics Experiences Across Organizational Boundaries
Overview
| Experience | In Person |
|---|---|
| Track | Data Sharing & Collaboration |
| Industry | Communications, Media & Entertainment, Retail & Consumer Goods, Financial Services |
| Technologies | Data Marketplace, AI/BI, Delta Sharing |
| Skill Level | Intermediate |
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.
Session Speakers
DJ Sharkey
/Staff Software Engineer
Databricks