Predictive Maintenance and Machine Learning

January 25, 2019

Improve Expert Systems with Datawatch Predictive Maintenance analytics and machine learning Whether it be scheduled or unscheduled, the cost of downtime in manufacturing environments can be extremely costly to the business, often to the tune of millions of dollars annually. Unexpected downtime can significantly impact tangible and intangible operating costs. To mitigate risk associated with downtime, manufacturing operations often develop equipment maintenance calendars, servicing equipment regardless of whether it is needed, leading to higher than necessary overhead expenses. This doesn’t have to be the case. Advances in technology have enabled organizations to collect real-time data about how their equipment is operating. This data contains hidden indicators of future equipment failure. Using predictive analytics manufacturers can extract these hidden insights so they can choose to do maintenance when the risk becomes high.

Spotlight

NLP Logix

NLP Logix is an advanced analytics and machine learning data product and services company, which has grown from a vision in 2011 to one of the fastest growing teams of deep learning practitioners. NLP Logix is an experienced team of data scientists who are capable of taking large and disparate data sources and returning actionable and valuable information in a fraction of the time compared to traditional techniques. The company was started by three professionals who worked together at a medical services company developing and applying predictive models and advanced analytics into its workflows. When the founders started NLP Logix, they began competing in international data science contests hosted by Kaggle.com…and started winning.

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