Predikto has been featured in the article “Maintenance Triage: Identifying Sick and Injured Assets to Improve Population Health” in the Uptime Magazine February 2015 issue. The author of the article, Will McGinnis, is a Mechanical Engineer from Auburn University working at Predikto as a Senior Software Architect. At Predikto, he uses advanced machine learning techniques to leverage pre-existing data in asset intensive industries to predict failures, identify bad actors, and impact bottom lines.

The mission of Uptime Magazine is to make maintenance reliability professionals and asset managers safer and more successful by providing case studies, tutorials, practical tips, news, book reviews, and interactive content.

To view the article, click on the image below

Predictive Analytics in Uptime Magazine

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