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Data Exchange to Link Cities, Automotive, Utility Sectors

By Terbine Press Release

TRAVERSE CITY, Mich.  — Terbine announced today in conjunction with the Center for Automotive Research’s annual conference the first commercial Data Exchange for the rapidly evolving world of connected vehicles.

The system was created to remove blockages that have hindered data sharing and will enable a wide range of new applications for sustainability, public safety, urban mobility, logistics efficiency and consumers.

Eliminating Data Sharing Friction 

Inspired by commodities exchanges that were created to scale up the volume and velocity of trading beyond what were individual broker-to-broker negotiations, the Terbine Data Exchange moves the handling of technical, legal, regulatory and data monetization issues out of the manual realm and into a comprehensive automated framework that operates at Internet speeds. The system employs machine learning technology to provide secure, precise context for data sources, and supports both human and AI-based “users” such as autonomous vehicles. 

“Until now, the worlds of government, mobility and electrical utilities haven’t been able to exchange data without going through tedious and time-consuming processes,” said David Knight, Terbine CEO. “With the massive growth in electric and autonomous vehicle deployment, it’s time to reduce months of manual negotiating to milliseconds.”

A ‘Data Brain’ for the Emerging EV/AV World

The Terbine Data Exchange is intended to widely enable intelligent mobility. Applications encompass safety for autonomous vehicles, feeding information into augmented reality (AR) displays, smart grids, electric car- and truck-charging networks, autonomous mobile robots, delivery and passenger-carrying drones, sustainability elements such as mobile air quality monitoring and many others. Tens of thousands of sensor data feeds sourced from cities, counties, state and federal agencies have already been “contextualized” and linked into the Data Exchange, (www.terbine.io) which can be utilized for “training” of autonomous vehicle software and other immediate uses. 

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