Arundo Extends its IIoT Analytics Reach - RTInsights

Arundo notes that to be successful, IIoT applications need to strike a balance between the batch processing remotely and real-time analytics. As organizations start delving into the nuances of Industrial Internet of Things (IIoT) applications many of them are finding a need to strike a balance between real-time analytics at the edge or on a gateway and more traditional batch-processing in the data center. To address that Arundo Analytics developed a federated approach to IIoT analytics spanning the IoT edge to the cloud. Now with the Fall 2017 release of the company's namesake software, a set of application programming interfaces (APIs) is being exposed to make it simpler to plug new and existing applications into the Arundo Data Fabric that runs as a cloud service. At the same time, Arundo Analytics has also enhanced the Arundo Composer software it provides on a desktop to make it simpler to create models employing multiple machine learning algorithms in addition to making it simpler to install Arundo Edge Agent software on devices running Windows, Linux or Mac OS operating systems.