The Internet of Things is changing industries across the world. As millions of devices each day connect to the Internet, it becomes impossible to send all the data generated at the edge to the cloud. The concept of the data lake is dying because most of the data generated at the edge never makes it to the cloud. You need real-time insights, and to get them you need analytics to occur at the edge, on the device or gateway. Enter Predixion RIOT, the fully self-contained edge analytics engine for the Internet of Things.
With Predixion RIOT, OEMs can embed advanced analytics directly onto their devices and machines to make their devices smarter, and Enterprise customers can add intelligence to every level of their network to solve expensive problems like unplanned downtime.
The IoT has given enterprises unprecedented access to data on the performance of their devices, machines, and assets. The IDC expects 4,400 exabytes of data – or 4,400 billion terabytes – to be produced by IoT devices between 2013 and 2020. Current analytics systems can’t handle this deluge of data. It takes a special solution designed specifically for the IoT to deal with it. Predixion RIOT provides device manufacturers and enterprises with local and global, real-time, visual analytics on their devices and operations for intelligence at every layer of the network.
Did you know that, according to recent analyst reports, there will be up to 75 billion devices connected in the Internet of Things by 2020?
With IoT spanning most industries, it can be difficult to manage the sheer volume of data coming through. It takes a solution uniquely suited for the IoT to address these complex scenarios.
Connected devices and machines are an integral part of operations in just about every industry today. A lot of organizations are struggling to harness the power of information from this Internet of Things (IoT) so that they may apply real-time insights and get ahead of unplanned downtime.
In this white paper from Wind River® and Predixion, discover how to eliminate the guesswork and truly evolve into a predictive enterprise with the ability to predict - and avoid - any unplanned maintenance or downtime.