Matthias Gohl

Harnessing a decade of data capture to enhance customer service and improve operational efficiency. TKE had amassed a deep but fragmented data lake previously impossible to comprehensively analyze. The Azure Databricks Intelligence Platform enabled consolidation of the data, and by using Medallion architecture concept and Unity Catalog, TKE was able to create a trusted data foundation that connects management reporting with operational execution in the field. A key element of this transformation has been TKE’s Digital Operations Centers, which help turn insights from IoT data and service operations into actionable guidance for service technicians. This enables better operational decisions, supports technicians in their daily work, and helps create more value for customers by reducing callbacks, increasing equipment uptime and improving service quality. The next step was extending this foundation to unstructured data such as contracts and service logs. By applying LLMs, TKE can extract relevant data and insights from documents and combine them with operational performance data. Intelligent agents now support service and portfolio decisions with human-in-the-loop validation. In this…

The factory floor, the assembly line and the supply chain have always been defined by precision, and now artificial intelligence is raising the bar. Join fellow manufacturing and automotive leaders for a deep dive into how Databricks' Data Intelligence Platform is powering the next era of Industrial AI. From real-time sensor data to unified lakehouses that eliminate data silos, discover how the world’s most complex industrial operations are turning raw data into competitive advantage. This forum will explore the critical imperatives reshaping the industry: predictive and prescriptive maintenance that reduces unplanned downtime, AI-driven quality inspection, connected vehicle analytics, supply chain resilience, and the convergence of OT and IT data. Databricks brings together the governance, scalability, and open ecosystem needed to move from pilot to production across every plant, line, and model. Hear directly from industry innovators who are already leading the transformation and leave with actionable frameworks for deploying Industrial AI at scale.