Ben Abood

In this session, Rich Products shares how we use Databricks and Palantir together to move from governed enterprise data to operational business outcomes. We will walk through the architecture playbook our platform team uses to decide where data lives, where logic runs, and when validated outputs should be written back for broader downstream consumption. As a real example, we will show how we replaced a legacy cost allocation process tied to SAP ECC with a new production workflow that uses Databricks as the governed data foundation, Foundry for allocation logic and operational review, and Databricks again as the publication layer for downstream finance processes. Attendees will leave with a practical framework for balancing speed, scale, and safety across joint-platform solutions without overspecializing to a single use case.

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…