San Francisco, CA — June 5, 2013 — Talksum, Inc., a leader in high-speed data processing and management solutions, today unveiled its V2V and V2I DSRC data processing, management, and analytics solution for the connected vehicle. Designed to accelerate real-time decisions, the Talksum DSRC solution improves data acquisition and transformation, and converts data into flexibly managed event streams, tailored for V2V and V2I DSRC systems.
The Talksum solution handles data sets at both the vehicle level and/or data center level and can format data in real time, as well as enrich data by correlating events with other external data sources.
The Talksum Data Stream filters, data reduces, monitors, aggregates, enriches, analyzes, and routes live streams to power, in real time, data sensor information such as engine performance, braking, travel direction, velocity, road conditions, and other vehicle and safety needs.
In addition, the Talksum product includes foundational components for regulatory compliance, government standards, and policy control, including future NHTSA compliance.
“The Talksum Data Stream product can be embedded in vehicles for V2V communications and within the data center for V2I initiatives,” said Alex Varshavsky, founder and CEO of Talksum. “In the data center, the product also takes in other information such as weather channel, RSS feeds, USGS, and other feeds, performs the same functions as the Talksum Data Stream product embedded in the vehicle, and then routes to vehicles, storage, third-party APIs, and remote sites, as applicable.”
The Talksum solution ingests and normalizes any type of sensor data, including JSON, CEE, OpenXC, and others. Since the Talksum Data Stream solution is hardware-based, it is easy to deploy and implement and is highly configurable without the need for specialized coding.
Talksum, Inc. is a leader in high-speed data processing and management solutions whose mission is to develop new ways of processing, routing, and managing Big Data. The Talksum Data Stream Router provides a real-time streaming data solution that is perfect for Big Data initiatives that require massive amounts of data processing.
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