Databricks moves into physical systems

Databricks is pushing past dashboards and into day-to-day operations, with new deals in power grids, tagged goods, and business apps. (futurecio.tech) On April 9, Tata Power said it would adopt Databricks across the company to build a unified data and artificial intelligence platform for grid management, power planning, billing, renewable forecasting, solar manufacturing, and rooftop solar operations. Tata Power said the system is meant to combine edge, operational, and enterprise data on one platform. (tatapower.com) On March 31, Wiliot said it had built its Physical AI platform and supply-chain automation tools on Databricks. Wiliot said its battery-free, postage-stamp-sized Internet of Things tags generate item-level data for inventory, shipment verification, and temperature monitoring. (wiliot.com) A power grid is a physical system that has to balance supply and demand in real time, and a supply chain is a physical system that moves goods through warehouses, trucks, and stores. These deals put Databricks software closer to those live operational loops instead of keeping it in reporting and back-office analytics. (futurecio.tech) (rfidjournal.com) Databricks is also trying to shorten the last step between stored data and working software. On April 13, the company said a new Lovable connector lets teams build apps on Databricks data in plain English, with Lovable automatically discovering SQL warehouses and using the Databricks application programming interface to run queries. (databricks.com) (docs.databricks.com) That matters for customers that already use Databricks as a data lakehouse, or a system that keeps raw data and business analytics in one place. In Tata Power’s case, the stated goal is near real-time insight for energy operations; in Wiliot’s case, it is handling continuous streams of sensor data from tagged items. (tatapower.com) (wiliot.com) Wiliot said customers will be able to combine physical-world data with enterprise records and then use artificial intelligence tools to predict disruptions, automate inventory work, and manage cold-chain logistics. RFID Journal said the partnership is aimed at large-scale ingestion and analysis of those real-time streams. (wiliot.com) (rfidjournal.com) Tata Power described a similar consolidation on the utility side, saying Databricks would replace fragmented analytics systems with a single platform across business clusters. FutureCIO said the rollout is aimed at intelligent grid management, better billing efficiency, and more accurate renewable-energy forecasting. (techcircle.in) (futurecio.tech) The through line is that Databricks wants customers to use its platform not just to analyze what already happened, but to run software that reacts to what is happening now. The next test is whether these deployments move from partner announcements into measurable gains in uptime, forecasting accuracy, and supply-chain execution. (futurecio.tech) (rfidjournal.com)