Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Big data science, the IoT, and the transportation sector

Wael Elrifai (Pentaho)
16:3017:00 Tuesday, 23 May 2017
Data Case Studies, Strata Business Summit
Location: Capital Suite 15
Secondary topics:  Logistics
Level: Non-technical
Average rating: ****.
(4.00, 3 ratings)

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.

Photo of Wael Elrifai

Wael Elrifai

Pentaho

Wael Elrifai is an avid technologist and management strategist bridging the divide between IT and business as Pentaho’s EMEA director of enterprise solutions. Wael is a member of the Association for Computing Machinery, the Special Interest Group for Artificial Intelligence, the Royal Economic Society, and Chatham House. He holds graduate degrees in both electrical engineering and economics.

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