A new press release reports, “Falkonry, Inc., the leading enabler of predictive operations for Global 2000 companies, today announced a new version of its flagship operational machine learning system. In field trials, Falkonry LRS 2.0 has provided unmatched performance, visualization and scale, enabling customers to realize rapid improvements in the uptime, quality, safety and yield of their industrial operations. ‘Users expect a responsive, scalable, consumer-grade experience, like online maps, when reviewing operational data,’ said Dr. Nikunj Mehta, Founder and CEO of Falkonry. ‘With Falkonry LRS 2.0, we provide one place for users to store, review and analyze all their operational data, where it can be used immediately. This will allow customers to quickly gain insights and solve real operational problems that can save millions of dollars annually’.”

The release continues, “According to a McKinsey & Company report, manufacturing digitization will boost industrial profit margins by 3-5 points – but only if the technologies can work at scale. Falkonry is enabling users to deploy such technology at scale. Over the last six months, Falkonry customers have successfully analyzed more than 4 trillion data points. In just the last three months, they have turned 100 billion points of raw data into 300 million actionable condition assessments. Customers are also addressing more use cases than ever before. A major oil & gas company has built more than 150 predictive models in just the last two months, which is more than double the number they built six months ago. A large steel manufacturer has built over 400 models in that timeframe.”

Read more at Business Wire.

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