Bridging Ontologies & Lakehouses: Palantir AIP + Databricks for Secure Autonomous AI
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Sharing and Collaboration |
Industry | Health and Life Sciences, Public Sector |
Technologies | Apache Spark, Delta Sharing, Unity Catalog |
Skill Level | Intermediate |
Duration | 40 min |
AI is moving from pilots to production, but many organizations still struggle to connect boardroom 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 operational decision empowering Ontology- with Databricks’ industry-leading scale, governance and Lakehouse economics. The result: real-time, AI-powered, autonomous workflows that are already powering mission-critical outcomes for the U.S. Department of Defense, bp and other joint customers across the public and private sectors.
In this technically grounded but business-focused session you will see the new reference architecture in action. We will walk through how Unity Catalog and Palantir Virtual Tables provide governed, zero-copy access to Lakehouse data and back mission-critical operational workflows on top of Palantir’s semantic ontology and agentic AI capabilities. We will also explore how Palantir’s no-code and pro-code tooling integrates with Databricks compute to orchestrate builds and write tables to Unity Catalog. Come hear from customers currently using this architecture to drive critical business outcomes seamlessly across Databricks and Palantir.
Session Speakers
Ben Abood
/Solutions Architect
Databricks
Siddhant Ekale
/Senior Architect
Palantir