Scaling AI Agents at Mercedes-Benz: Unified AI Governance in a Multi-Cloud Enterprise Ecosystem
Overview
| Experience | In Person |
|---|---|
| Track | Governance & Security |
| Industry | Manufacturing |
| Technologies | Data Marketplace, Unity Catalog, Databricks Apps |
| Skill Level | Intermediate |
Managing AI at the scale of Mercedes-Benz requires more than just models—it requires a unified AI ecosystem. With thousands of practitioners across global business units, the challenge was providing a single point of entry for AI capabilities while maintaining strict governance across multi-cloud and multi-model environments. In this session, we go under the hood of the Mercedes-Benz
AI Ecosystem. We will detail the technical architecture that integrates Databricks Agent Framework, Model Serving, and AI Gateway to create a governed interoperability for AI agents. We’ll discuss the "how-to" of:
- Centralizing discovery: Building an internal marketplace for foundation models and reusable agents
- Unified governance: Integrating Mercedes-Benz AI Marketplace into Databricks AI Gateway
- Operationalizing agents: Deploying and publishing AI agents for self-service at Mercedes-Benz
Attendees will leave with a technical blueprint for building an interoperable enterprise AI agent platform.
Session Speakers
Sai Yang
/Solutions Architect
Databricks
Markus Heubach
/Product Manager AI Ecosystem
Mercedes-Benz Group AG