How Data Science Will Play a Pivotal Role in the Future of Equipment Maintenance

As predictive maintenance converges with IoT, data science will play a pivotal role in driving innovation in equipment maintenance and related business outcomes. Just think of the billions of data points we capture across devices from infrared tomography, sonic and ultrasonic analysis, motor current analysis, vibration analysis etc. Yet according to Gartner 72% of manufacturing industry data goes unused due to the complexity of today’s systems and processes. Why? Historically It has been a challenge to reliably and cost effectively collect and manage the IoT big data – further it takes data science and mathematics to help a human identify patterns, derive insight and take action on the data. Together MapR and RapidMiner are radically simplifying the picture and helping deliver the future of maintenance operations today.

Join us Tuesday July 24, 2018 at 10am PT for a complimentary webinar where you will learn how to:

  • Enrich your IoT data with data from the edge
  • Perform data science directly on your IoT data in place
  • Identify equipment in need of maintenance
  • Optimize the balance between repair costs and uptime
  • Deliver economic impact to maintenance operations


Ralf Klinkenberg

Co-founder & Head of Data Science Research


Rachel Silver

Sr. Product Manager - Data Science & Analytics



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