OmniSci to Present Real-time Analysis Of Massive Vehicle Telematics

Demonstration will Showcase Potential For Insight into Driver, Vehicle Behavior, Connected Car Monetization Opportunities

OmniSci provider of GPU-accelerated analytics, today announced it will partner with Cambridge Mobile Telematics, the world’s leading mobile telematics and analytics company, in a demonstration titled “Interacting with Massive Mobile Telematics Datasets at Near Zero Latency.” The session is at the Gartner Data & Analytics Summit 2019 in Orlando, Florida and will display the power of GPU-accelerated analytics for deriving important insights from massive amounts of vehicle data in near real-time.

Featured speakers for the 45-minute demonstration will be OmniSci EVP and Chief Commercial Officer, Grant Halloran, and Cambridge Mobile Telematics’ Vice President of Marketing, Ryan McMahon. The Gartner conference is one of the industry’s leading events for business analysts, data scientists, information architects and senior IT/business leaders.

“Vehicles have become massive generators of data—and with the coming wave of connected and autonomous technology, the problems and opportunities of interrogating this torrent of information at speed will be immense,” stated Halloran. “Only GPU-accelerated analytics can process and analyze billions of rows of data in milliseconds. Our demonstration, in cooperation with Cambridge Mobile Telematics, will be an eye-opener for organizations seeking to create commercial and social benefit from vehicle telematics.”

“CMT’s mission is to make roads safer by making drivers better,” said McMahon. “Our group of data scientists and actuaries are using billions of miles of driving data across six continents to develop and refine solutions designed to improve road safety for all.”

GPU-accelerated analytics on the OmniSci platform overcome three big data challenges: scale, speed and location intelligence. Born out of research at MIT, OmniSci analytics technology is the first to harness the massive parallel processing and visual rendering power of NVIDIA GPUs (Graphics Processing Units) to query and visually explore massively large datasets at the speed of curiosity.

“Interacting with Massive Mobile Telematics Datasets at Near Zero Latency,” is part of the Self -Service BI and Data & Analytics Technologies track and is scheduled for 1:30 pm to 2:15 pm on March 18 in the Crystal Ballroom G. To learn more, visit OmniSci at booth 634.

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