Bridging Ontologies & Lakehouses: Palantir AIP + Databricks for Secure Autonomous AI

AI is moving from pilots to production, but many organizations still struggle to connect ambitions with operational reality. Palantir’s Artificial Intelligence Platform (AIP) and the Databricks Data Intelligence Platform now form a single, open architecture that closes this gap by pairing Palantir’s Ontology-based semantic layer with Databricks’ industry-leading scale, governance and Lakehouse economics. The result: real-time, AI-powered, autonomous workflows that are already powering mission-critical outcomes across the public and private sectors.​ In this session you will see the new reference architecture in action directly from customers using it. We will walk through how the solution enables compute federation, aligned governance, and a unified catalog. These features come from a mutual engineering effort to build on top of Unity Catalog to provide governed, zero-copy access to Lakehouse data while Palantir’s multimodal security systems enforce policy controls end-to-end.​