Siemens partners with Databricks and FFT to turn production data into scalable AI-driven insights

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ERLANGEN, Germany, June 16, 2026 /PRNewswire/ -- Siemens announced a new edge-to-cloud integration with Databricks, the Data and AI company, and long‑time automation partner FFT Produktionssysteme GmbH (FFT). Together, the partners will connect production data directly to enterprise AI – without complex IoT middleware. This will help industrial customers transform their production data into actionable insights and scale industrial AI across global operations. With the new integration, customers are able to stream contextualized shopfloor and plant data from Siemens Industrial Edge via the FFT DataBridge directly to the Databricks Platform, where it can be analyzed and used to train AI models centrally for implementation across global production networks. These models can then be deployed back to the edge for execution at the point of production. This approach helps industrial companies optimize their operations, reduce costs and increase productivity with low‑latency, data‑driven decision‑making. It lays the foundation for physical AI and future autonomous operations. "Industrial AI only delivers value when data, context and execution come together," said Rainer Brehm, COO Automation and CTO at Siemens Digital Industries. "With Databricks and FFT, we enable our customers to scale industrial AI across factories and plants and make AI-powered production real." Operationalizing Industrial AI with seamless IT/OT integration With Siemens Industrial Edge and Industrial Information Hub (integration layer for industrial data), customers benefit from a secure, scalable and low-maintenance edge platform designed to unlock siloed industrial data and execute intelligent applications close to the production process. This includes advanced local analytics, physical AI and closed loop AI workflows that require low latency, high availability and strict security compliance. Databricks complements this with advanced analytics, machine learning and agentic AI for industrial data in a cloud agnostic, governed environment with minimal infrastructure overhead. This supports a wide range of advanced use cases, including predictive maintenance, quality optimization, energy management, supply chain optimization and agentic AI applications. "By uniting Siemens' industrial automation and edge expertise with the Databricks Platform, we help ind...

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