Scaling Trustworthy AI: Takeda’s Self-Service AI Foundation on Databricks

Takeda and ZS share a bold vision for the future of enterprise AI—one where innovation scales through a secure, self-service AI foundation with governance built in by design. In this session, Takeda and ZS share how they are building a unified AI foundation on Databricks, enabling teams to develop, deploy and operate AI confidently in a highly regulated environment. We will walk through Takeda’s AI foundation architecture—built on the Databricks Mosaic AI framework and leveraging managed model serving endpoints and enterprise wide vectorization patterns—while also demonstrating how automated, compliant project provisioning and Takeda-specific responsible AI guardrails enable secure, scalable delivery of AI-driven applications. Attendees will learn how Takeda’s self-service AI foundation accelerates experimentation, improves reuse and reduces operational friction while strengthening trust, audit readiness and enterprise-wide adoption of AI.