Tata Power Company Limited (Tata Power) has announced an enterprise-wide adoption of the Databricks platform to accelerate its data and AI transformation across all business clusters. This initiative aims to drive enhanced operational efficiency, smarter decision-making, and scalable digital innovation as the company advances its energy transition goals, including renewable integration, smart grids, and an expanding B2C portfolio. The unified platform will enable intelligent grid management, advanced power planning and optimization, improved billing and collection efficiencies, accurate renewable forecasting, and operational excellence across solar manufacturing and rooftop businesses, while also delivering a seamless, single-view customer experience. Tata Power is leveraging Databricks to establish a modern data foundation capable of processing data at scale for near real-time insights, supporting advanced analytics, AI, and agents. The platform will integrate edge, operational, and enterprise data, eliminating silos and accelerating insight-led decision-making. A key feature is the adoption of Genie, Databricks’ AI agent, allowing employees to interact with data using natural language for instant, trusted answers and quicker decision-making. Dr. Praveer Sinha, CEO & Managing Director of Tata Power, stated that this partnership marks a significant milestone in building a future-ready, intelligent energy ecosystem. Nick Eayrs, VP of Field Engineering for Asia Pacific and Japan at Databricks, highlighted that the collaboration aims to build a unified and scalable platform enabling faster innovation and more resilient, data-driven energy systems. Kamalkanth Tummala, Managing Director for India at Databricks, noted the growing importance of data and AI in transforming the energy sector. In the medium term, the platform will enable self-service analytics, "talk-to-data" capabilities, and the democratization of data and AI, driving faster, insight-led decision-making across the organization. Tata Power aims to consolidate enterprise data on the Databricks platform to create a strong foundation for new initiatives and next-generation AI applications.
