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Why DataRPM? Asset based industries face a huge dark – data problem where critical business value remains locked in the unused data generated by sensors in Industrial IoT. Scaling the data science teams for effective predictive maintenance is not an option due to continuous volumes of data. When machine fails, it’s always never the last event that caused it to fail. Most of the solutions today are focused on solving the prediction of that one event which is highly inaccurate since there are series of components that have failed which ultimaetly leads to the catostraphie . In the past, most of these machines were not connected, but with the 4th Industrial Revolution of IoT and connected things, Industrial sectors like manufacturers, automotive, oil & gas, energy, power, smart cities are…
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