December 5, 2019

226 words 2 mins read

Big data science, the IoT, and the transportation sector

Big data science, the IoT, and the transportation sector

Wael Elrifai leads a journey through the design and implementation of a predictive maintenance platform for Hitachi Rail. The industrial internet, the IoT, data science, and big data make for an exciting ride.
Talk Title Big data science, the IoT, and the transportation sector
Speakers Wael Elrifai (Pentaho)
Conference Strata Data Conference
Conf Tag Making Data Work
Location London, United Kingdom
Date May 23-25, 2017
URL Talk Page
Slides Talk Slides
Video

Wael Elrifai leads a journey through the design and implementation of a predictive maintenance platform for Hitachi Rail. The industrial internet, the IoT, data science, and big data make for an exciting ride. Wael covers a pioneering trains-as-a-service concept, applying big data technologies, IoT technologies, machine learning, and big data science to enable reliability-centered maintenance. Rather than selling trains to operating companies, these remain the property of the train manufacturer, who gets paid on outcomes such as reliability. Delivering this service successfully and profitably depends upon the system’s ability to predict and diagnose equipment failures before they negatively impact service. With each train carrying thousands of sensors generating terabytes of data per day—over 100 trillion data points per year—the challenges in implementing this project exist in all domains from communications, big data storage and computation to mathematics and machine learning to human-machine interaction. Wael explores the platform, techniques, and challenges without getting too technical.

reliability math data science big data iot machine learning internet
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