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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

Razorsight

Razorsight's Cloud-based Predictive Analytics Software is used by the world's best known Communications & Media brands including AT&T, Verizon, T-Mobile, Comcast, Telus, Tata, Orange, CenturyLink, Windstream, IBM and Facebook. Razorsight delivers predictive insights to proactively and precisely target customer acquisition and retention and increase CLV. We assist in delivering personalized service at every touchpoint while reducing calls to care. And our analytics engines increase digital impressions and advertising revenue. These insights are operationalized to improve margins via revenue growth, retention and cost reduction. Razorsight’s highly scalable cloud applications are non-intrusive, easy to install, require no capital investment, and have delivered millions of dollars in profit gains at industry leaders. If you want to join a fun, entrepreneurial company and work with leading global customers in developing advanced solutions with Mobile, Cloud and Big Data as the compon

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Predictive Maintenance and Machine Learning