Predixion Insight 4.5 Enables Analytics to Run on Device, Gateway and in Cloud
“The value of IoT-connected machines will only be realized if organizations can understand and leverage the data they produce,” said Jamie MacLennan, CTO, Predixion Software. “Predixion 4.5 allows users to create value from the data generated from the IoT by efficiently deploying advanced analytics in any modality to improve operations, reduce costs, enable richer customer experiences, and improve patient care.” “What Predixion has done to simplify the deployment of advanced analytic models into production environments is outstanding. But the ability to enable on-device deployment is a real game-changer,” said Oliver Downs, Chief Scientist at Globys. “Getting advanced analytics on the edge to take action is the ultimate payoff of big data and the Internet of Things, and Predixion makes that possible.”
In addition to the patent-pending MLSM at the heart of Predixion’s technology, Predixion Insight 4.5 delivers the following new capabilities for users. Quickly deploy predictive analytics with the new Deployment Assistant, which generates source code and facilitates deployment of the MLSM package to the device, gateway or cloud. Extend analytics to the edge by supporting common devices and environments including Raspberry PI and OSGi. Efficiently deal with data dynamics from the IoT with runtime data shaping on device. Achieve greater accuracy from advanced analytics with new Predixion-implemented algorithms optimized for IoT use cases. Collaborate across teams by sharing models and results over the web, email, and social media.
You may also like to read, Top Graph Databases , Top In Memory Data Grid Applications, Top Open Source Big data Enterprise Search Software , Bigdata Platforms and Bigdata Analytics Software, Top Deep Learning Software.