IoT
Predixion Software Analytics Platform Provides Real Time IoT Analytics and Automated Actions
Monday, May 18, 2015
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Richard Harris |
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.
Read more: https://www.predixionsoftware.com/overview_45
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