Fixing Problems Before They Arise in Oil and Gas

By | August 1st, 2015|Big Data, Conference, Industrial Internet of Things, Machine Learning, Mtell Reservoir, Oil and Gas, Partners|

Originally posted by Arunima Kumar in SAP Business Trends on Jul 20, 2015

As part of its IoT kickstarter program, the SAP Co-innovation Lab in Silicon Valley partnered with Mtell and Rolta on a solution for predictive machine maintenance in oil and gas. Built on SAP HANA, the solution […]

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Mtell and ThingWorx Partner to Offer Complete Analytics Solution for Internet of Things Applications

By | January 28th, 2015|Industrial Internet of Things, Machine Learning, News, Oil and Gas, Predictive Analytics, Press Release|

Companies will Integrate Mtell’s Machine Learning Technology with the ThingWorx® Platform to Enable Advanced Predictive Analytics for Internet of Things Solutions

SAN DIEGO (January 28, 2014) – Mtell, a leading asset health software solution company and provider of machine learning technology for the Internet of Things (IoT), today […]

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How is Mtell Able to Transfer Learned Behaviors from One Machine to Another, While Some Claim all Machines are Unique?

By | September 4th, 2013|Machine Learning, Oil and Gas, Smart Machines|

Many potential customers begin Mtell engagements heavily skeptical about our claim of Transfer Learning capabilities. It’s true that older technology approaches must treat every machine as unique, but Mtell has pioneered modern techniques that contradict such deep-seated wisdom.

Machine Learning techniques are data-driven; using only pure data to learn baseline normal […]