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How Machine Learning Is Revolutionizing Asset Reliability and Predictive Maintenance Practices

TRC-2018 Learning Zone 41:12

by Aaron Beazley, Bentley Systems

While machine learning has been researched for decades, its use in applying artificial intelligence in industrial plants and infrastructure asset operations is now advancing exponentially. This is due to the growth in big data and the expansion of the Internet of Things (IoT); the ability to provide the processing power needed to analyze larger data sets, and the need for superior predictive and prescriptive capabilities required to manage today’s complex assets as well as the availability of machine learning methods. While machine learning has typically been linked with industries such as transportation and banking (think self-driving cars and fraud monitoring respectively), there are many uses for machine learning within the industrial sector. This presentation will focus on some of the principles within machine learning, and how four such industries that are primed to take advantage of the application of machine learning can maximize the benefits it brings to improve situational intelligence, performance, and reliability.

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