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Machine Learning startup DataRPM accepted to Microsoft’s Seattle accelerator program

Machine Learning startup DataRPM accepted to Microsoft’s Seattle accelerator program

Machine Learning and analytics company DataRPM joins nine other later-stage startups in being accepted for Microsoft’s Machine Learning and Data Science Accelerator in Seattle.

Award-winning predictive analytics company DataRPM has been selected to Microsoft’s 4th generation of its prestigious Seattle Machine Learning Accelerator Program.

Ten companies were selected overall from hundreds of applicants across the United States. Apart from making giant strides in disrupting the machine learning industry, the criteria for the accelerator took into consideration startups that have received an average $5.3 million in funding and $3 million in annual recurring revenue.

DataRPM will now gain access to top business mentors, tech and marketing experts, office space and resources to help them build their company.

Microsoft’s accelerator program runs for four months and is focused on improving startup products, refining pitches, and sharpening marketing skills, as well as attracting investors and networking.

The Machine Learning and big data company out of Redwood City, CA is focused on delivering the next generation predictive maintenance solutions for the Industrial Internet of Things (IIoT).

According to IoT Agenda, “The driving philosophy behind the IIoT is that smart machines are better than humans at accurately, consistently capturing and communicating data.”

DataRPM delivers the industry’s only Cognitive Predictive Maintenance (CPdM) platform for Industrial IoT. The platform uses patent pending Meta-Learning technology, integral component of Artificial Intelligence to automate predictions of asset failures.

“By using data that connected machines provide to measure damage, wear and tear, and other indicators of operational success, unprecedented insight into machine health is changing popular methods of maintenance,” reported IoTTech News.

The automatic predictive maintenance of DataRPM is powered by its “Algorithmic survival of the fittest” model, which offers powerful insights through its API framework and identifies the key features, patterns, and anomalies from noisy data.

The company’s revolutionary offerings is what earned DataRPM its place among the 10 startups chosen for Microsoft’s accelerator program as it continues to shape the future of machine learning.

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@TimHinchliffe

Tim Hinchliffe is a veteran journalist whose passions include writing about how technology impacts society and Artificial Intelligence. He prefers writing in-depth, interesting features that people actually want to read. Previously, he worked as a reporter for the Ghanaian Chronicle in West Africa, and Colombia Reports in South America. tim@sociable.co

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