Confluent and Databricks have partnered to simplify the integration between analytical and operational systems, enabling enterprises to deploy AI applications more efficiently. This partnership aims to bridge the divide between real-time data and analytics, governance, and AI-driven intelligence. The first capability being offered is a Delta Lake-first integration that enables seamless bidirectional data flow between Confluent's Tableflow and Databricks' Unity Catalog, unlocking real-time, governed data products from any source to power intelligent applications. This integration addresses the challenge of siloed data in enterprises, where operational systems and analytical systems often operate independently, making it difficult to deploy AI models that require fresh, real-time operational data. By transforming operational data into AI-ready assets and bringing AI-driven intelligence into real-time applications, Confluent and Databricks are working together to make data products an enterprise-wide reality, enabling enterprises to build and deploy AI that allows proactive, automated decision-making on operational systems with production-level speed and accuracy.