Open models are essential for accelerating AI innovation, providing transparency, flexibility, and adaptability across enterprise use cases. They empower organizations to fine-tune, customize, and deploy AI solutions securely while retaining control over data. Discover how NVIDIA AI Foundation models, available on Azure platforms as NVIDIA NIM, power technologies and use cases. Learn how NVIDIA Nemotron, open reasoning models, are used to build powerful enterprise research agents that synthesize hours of research in minutes. Also, explore how NVIDIA Cosmos world foundation models are used to simulate, reason, and generate data for downstream pipelines in robotics, autonomous vehicles, and industrial vision systems.

Building an AI-ready data platform requires strong governance, performance optimization, and seamless adoption of new technologies. At ThredUp, our Databricks journey began with a need for better data management and evolved into a full-scale transformation powering analytics, machine learning, and real-time decision-making. In this session, we’ll cover: Key inflection points: Moving from legacy systems to a modernized Delta Lake foundation Unity Catalog’s impact: Improving governance, access control, and data discovery Best practices for onboarding: Ensuring smooth adoption for engineering and analytics teams What’s next? Serverless SQL and conversational analytics with Genie Whether you’re new to Databricks or scaling an existing platform, you’ll gain practical insights on navigating the transition, avoiding pitfalls, and maximizing AI and data intelligence.