Enterprise data warehouses have traditionally supported only historical reporting — with no support for forward-looking prescriptive and predictive analytics. They also cannot handle semi-structured, unstructured or real-time data and are not set up for advanced analytics use cases that data science teams need to drive ML and AI–powered innovations.

Join us in this session and learn how you can reduce costs, innovate faster and simplify your data platform by migrating to Databricks. Discover the case for modernizing your enterprise data warehouse and scale as your business needs grow and accelerate innovation by running all your data, analytics and AI workloads on a single unified data platform.