Organizations aiming to become AI and data-driven need to provide their internal teams with high-quality and trusted data products. Building such data products ensures that organizations establish standards and a trustworthy foundation of business truth for their data and AI objectives. In this session, we will outline our recommendations for building production-ready data products, both generally and specifically with Databricks. We will describe different requirements and challenges in the data product lifecycle, as well as lessons learned from our field engineering teams. We will also provide guidance on how to leverage the Databricks Data Intelligence Platform to maximize data product value and usability.