“Databricks helps simplify some very complex engineering problems for us. That means our teams can spend less time managing infrastructure and more time delivering capabilities — like predictive insights — that improve how our technicians service elevators in the field.” - Christian Jung, Head of Global Digital, Data & AI Foundation at TKE
TK Elevator (TKE) collects more than 500 million IoT telemetry events every day from connected elevators around the world. To move from reactive maintenance toward predictive service, TKE adopted the Databricks Data + AI Platform to bring together elevator telemetry, service records and enterprise data across 30+ countries.
Key highlights:
- 500M+ IoT telemetry events processed daily from connected elevators.
- 30+ countries on one data lake, unifying enterprise and IoT data for global use cases.
- 20,000+ maintenance tickets generated annually by TKE’s Digital Operations Centers.
- Up to 20% less technician troubleshooting time on callbacks and unplanned shutdowns, according to the customer story.
- Months to weeks for data pipelines and three months to three days for data sharing, helping teams deliver data and insights faster.
- A foundation for predictive AI: TKE uses Genie Code, Managed MLflow, AI Search and Model Serving to support development, evaluation, retrieval and deployment across its service workflows.
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