WHY MACHINE LEARNING IS THE FUTURE OFPREDICTIVE AND INDUSTRIAL MAINTENANCE

July 10, 2020

There’s no arguing that preventing failures and accidents is critical for industry. Unexpected incidents can grind operations to a halt for extended periods of time and necessitate expensive repairs. Just 12 hours of downtime for an oil production platform could cost six to eight million dollars in lost production opportunity alone. A single day of grounding for a plane costs roughly four to five million dollars. Because of these disruptions, industrial sectors are always on the lookout for newer, better maintenance methods, and the approach on everyone’s lips right now is predictive maintenance. While everyone agrees on the name, there is less consensus on what it means or how to implement it. But to truly unlock the potential of predictive maintenance, it needs to be paired with artificial intelligence (AI) and machine learning (ML).

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Sriven Technologies, LLC

Sriven Technologies is a leading information technology development and consulting firm serving clients throughout the United States. We established primarily with an aim to provide consulting and IT services in today's dynamic environment.

OTHER WHITEPAPERS
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whitePaper | May 31, 2022

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Sriven Technologies, LLC

Sriven Technologies is a leading information technology development and consulting firm serving clients throughout the United States. We established primarily with an aim to provide consulting and IT services in today's dynamic environment.

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