IoT

Predixion Software Analytics Platform Provides Real Time IoT Analytics and Automated Actions

Monday, May 18, 2015

Predixion Software’s latest version of its Predixion Insight IoT analytics platform offers new functionality to run analytic models directly on-cloud, on-gateway and on-device, allowing enterprises to perform real-time analytics and automated actions.

Predixion Insight’s Machine Learning Semantic Model (MLSM) technology provides “predict anywhere” flexibility, offering the ability for advanced analytic packages to be embedded directly into a variety of production environments, including applications, databases, complex event processing engines, or even directly onto a connected or disconnected device.

Included in this latest release is a Deployment Assistant which allows developers to create their own web-based applications (in Java, R, C#, SQL and Javascript) to provide advanced analytics into the hands of end users.

Other new features of the Predixion Insight 4.5 platform include:

- 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.