Manufacturing industry to benefit from Wipro/Lone Star tie-up, say companies

Lone Star Analysis has announced partnership with Wipro Limited which it says will lead to the rapid deployment of low-risk, high-value smart solutions in a number of industries, including manufacturing.

Lone Star provides data analysis software and services which enables users to make quicker and more effective decisions based on accessible data.

This partnership allows Lone Star’s analytics services to enhance Wipro’s larger integrated industrial internet of things (IIoT) platform by predicting future outcomes in real-time and turning that knowledge into action.

The insights can be applied across virtually any industry and can be easily enabled anywhere, including the “edge,” for efficient and accurate predictive and prescriptive recommendations. Lone Star’s solutions enable true cause and effect understanding of the input data and are customised to suit individual needs.

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“The way we create intelligence is different from other predictive analytics companies,” said Steve Roemerman, CEO, Lone Star Analysis. “Wipro sees the extraordinary value in that, and we are looking forward to giving their customers the best insight, coupled with true data transparency.”

The relationship was driven forward because of the complementary nature of the companies. Lone Star is laser focused on delivering transparent intelligence solutions anywhere in the network while Wipro is committed to delivering end-to-end platforms and engineering support for the partnership.

“Lone Star’s AnalyticsOS based solutions coupled with Wipro’s engineering capabilities enable game-changing digital transformations for customers,” said Kunaal Mahanti, Consulting Head – Product Engineering Services, Wipro Limited. “This combination will allow for the rapid deployment of low-risk, high-value smart solutions for manufacturing, oil and gas, and industrial clients.”

Wipro is a supplier of multiple end-to-end integrated platforms and is looking for the best possible solutions within their systems.