Mtell Enters a Multi-year Contract to Supply Key IIoT Analytics Technology to CSX Transportation

By | February 23rd, 2016|Industrial Internet of Things, Mtell Previse, News, Predictive Analytics, Press Release|

Extending the Reach of Automated Detection and Correction of Impending Failures to Protect Fleet

SAN DIEGO, Calif. (February 23, 2016) – Mtell announced today that CSX Transportation has selected Mtell as a key provider of prescriptive and predictive analytics solutions and services for its North American locomotives, railcars, […]

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Mtell Operationalizes Apache Spark for the Industrial Internet of Things (IIoT)

By | January 21st, 2016|Mtell Previse, News|

Extending the Mtell Machine Learning Platform for Extreme Performance, Simplifying Applications for IIoT, and Opening to Third Party Extensions

SAN DIEGO (January 21, 2016) – Mtell announced today that the new release of its market leading predictive and prescriptive analytics platform, Mtell PreviseTM, has been revised to execute on […]

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Mtell Partners with OSIsoft to Enable Asset Prescriptive Maintenance

By | October 30th, 2015|Mtell Previse, News, Oil and Gas, Partners|

New partnership integrates Mtell’s Machine Learning Technology with the OSIsoft’s PI System to Optimize Asset Health for Industrial Enterprises

SAN DIEGO (OCTOBER 29, 2015) – Mtell, a leading asset health software solution company and provider of machine learning technology for the Industrial Internet of Things (IIoT), today announced it has partnered […]

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Mtell’s President and COO to Speak at Best Practices for Oil & Gas 2015

By | September 22nd, 2015|Anomaly Detection, Big Data, Conference, Events, Industrial Internet of Things, Machine Learning, Mtell Previse, News|

This week Mtell’s President and COO, Mike Brooks, will speak at SAP’s Best Practices for Oil & Gas 2015. The conference is hosted by a collaboration of SAP, the eventful group, and Americas’ SAP Users’ Group, and begins September 22-25, 2015, at the Westin Galleria Houston.

Best Practices for Oil […]

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Frost & Sullivan Applauds the Disruptive Value of Mtell’s Leading-edge Machine Learning Analytics Platform in the Oil & Gas Industry

By | May 18th, 2015|Awards, Machine Learning, Mtell Previse, Predictive Analytics, Predictive Maintenance, Press Release, Smart Machines|

The platform’s interoperability with in-house maintenance systems aids seamless changes and modifications of existing maintenance plans

MOUNTAIN VIEW, Calif. (May 19, 2015) – Based on its recent analysis of the big data and analytics market in the oil & gas (O&G) industry, Frost & Sullivan recognizes Mtell with […]

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Mtell’s CTO Presents at SAP’s HANA4IoT Unplugged

By | May 12th, 2015|Big Data, Events, Industrial Internet of Things, Mtell Previse, News, Oil and Gas|

Last month Mtell’s CTO, Alex Bates, presented a comprehensive software demo at SAP’sHANA4IoT Unplugged in Palo Alto, CA. The event took place April 9th, 2015, and featured guest speakers, demos, and an evening networking event. Cisco sponsored the event, bringing in hundreds of global attendees that aim to […]

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Mtell and MapR Deploy Big Data Platform for Oil and Gas to Manage Real-time and Historical Sensor Data

By | March 26th, 2015|Big Data, Machine Learning, Mtell Previse, Partners, Predictive Analytics, Predictive Maintenance, Press Release|

Collaborative Hadoop-based solution handles over 100 million data points per second to enable predictive maintenance on oil rigs

SAN DIEGO and San Jose, Calif. – March 25, 2015 – Mtelligence Corporation (dba Mtell), and MapR Technologies, Inc., provider of the top-ranked distribution for Apache™ Hadoop®, today announced […]

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The Earliest Failure Detection

By | December 20th, 2013|Machine Learning, Mtell Previse, Predictive Maintenance|

The P in the P-F curve is the “earliest point at which the onset of failure can be detected.”

“The Cause – The Symptoms – The Consequences” is a sequence indicating the initial root cause of an equipment problem, the way in which it may be detected, and the outcomes of […]