Real-time Visual Edge Analytics Engine

Analytics is everything when it comes to looking at the value of the Internet of Things ecosystem. It matters not if you can tie all the intelligent devices together if you cannot gain intelligence about them. Here is another take at doing analytics at the edge. This is not the first one I’ve seen, but it reflects a trend.

Greenwave Systems announced that the acquisition of Predixion Software has enabled it to offer a real-time visual edge analytics solution called AXON Predict. Greenwave’s AXON Predict performs analytics at the edge. It adds a new level of intelligence to machines and sensors at every step of the network, enabling real-time action right at the source of input.

“We’ve built a small, smart, self-healing and predictive maintenance solution to reduce asset management costs and drive new revenue streams for enterprises and original equipment manufacturers (OEM),” said Simon Arkell, general manager of software platforms and analytics at Greenwave Systems. “We tailor our visual analytics engine for each customer to maximize efficiency, deliver automatic anomaly detection and unleash opportunities that other solutions simply can’t deliver.”

Greenwave’s AXON Platform extends analytics and machine learning down to the chip level and at all points in between. With the addition of AXON Predict to its product family, the company is now extending computational power and real intelligence to industrial, commercial, and consumer market segments within the Internet of Things (IoT). Together, the company’s real-time visual edge analytics software and sophisticated data management platform will enable enterprises and OEMs to manage critical data at the edge of a network in real time, which is far more effective than waiting for it to be uploaded and processed in the cloud.

“We’ve seen a real need for this in the market and our customers have affirmed our belief; smart devices often lack the ability to analyze real-time data at the source, causing latency, compliance and cost issues associated with data loss,” said Arkell. “We’re addressing this pain point head on by delivering intelligence to make devices and ordinary silicon smarter. Our analytics engine provides sharper insights and faster response times for our customers and helps them improve both their top and bottom line.”

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