Digital Transformation in Manufacturing: How to Adopt Machine Learning Without Costly Tech Migrations
Manufacturing lines are a plethora of valuable information, but what’s the best approach to extraction and action? Static control limits for performance indicators miss key elements in the overall health of an electromechanical system. Led by two manufacturing professionals from the Stimson Lumber Company, this .conf18 IoT session takes a look at some situations where the Splunk Machine Learning Toolkit (MLTK) can generate knowledge and prompt decisions to keep industrial assets running longer and without running to failure.
Watch this .conf18 session to learn:
- The best approach for extraction and action
- How to enable automated machine learning to manage continuous maintenance monitoring
- How Splunk MLTK makes predictive maintenance possible without costly, disruptive technology migrations