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Use machine learning to predict plant maintenance!

Introducing Predictive Maintenance with SAP Predictive Asset Insights

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E-Bite

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71 pages,
E-book formats: EPUB, PDF, online
ISBN 978-1-4932-2154-7
How soon will your equipment need repairs? You'll learn how to use SAP Predictive Asset Insights to monitor the health of your equipment in real time and schedule maintenance when it is truly needed. Start by diving into key master data elements and integration with SAP S/4HANA and IoT sensors. Then explore available predictive maintenance algorithms—such as distance, logistics regression, and more—and see how it comes together in a case study. Predictive maintenance is here!
  • Learn how machine learning facilitates predictive maintenance
  • Explore predictive models for distance, logistics regression, and more
  • Preview integration with your IoT devices and SAP S/4HANA
Content Keywords: SAP Predictive Asset Insights, predictive maintenance, asset management, machine learning, Internet of Things (IoT)
Contents
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Avijit Dhar is a senior consultant at IBM India. He has more than 15 years of experience with leading the design and implementation of large-scale implementations, especially in the SAP manufacturing domain, and with growing IBM’s SAP Internet of Things (IoT) and machine learning practice.

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