IoT and AI hold the promise of saving businesses substantial costs — millions of dollars annually — by preventing asset failures, unplanned downtime and unnecessary maintenance. But enterprises need a data platform that can handle the velocity and volume of data generated by Industrial IoT while also integrating unstructured data. See how the Databricks Lakehouse solves these problems and how we’ve successfully saved enterprises millions through predictive maintenance built on Databricks.
In this interactive eBook, you’ll learn:
- How predictive maintenance enables enterprises to determine the right care for each piece of equipment at scale
- How to integrate unstructured data through NLP on Databricks to build more accurate maintenance models
- How enterprises, from manufacturing to energy to logistics, are increasing revenues and cutting costs while meeting or exceeding SLAs