Business Tech & Wireless

Arundo Analytics Unveils Latest Release of Industrial IoT Software Suite

Arundo Analytics reported the Fall 2017 general availability software release for its Arundo Enterprise suite.

According to a media release, the latest release includes significant feature and functionality upgrades in Arundo's Edge Agent, Composer and Fabric software products for advanced analytics and Industrial IoT enablement.

"Our Fall 2017 release further enables industrial customers in industries such as oil & gas, maritime and utilities to rapidly connect machine learning models, live data sources and business decision-makers through flexible, easy-to-use software," said Tor Jakob Ramsoy, Founder and CEO of Arundo Analytics.

The Fall 2017 release follows the successful introduction of the Arundo suite to heavy industrial users starting in 2016. Arundo said that its customers and partners include Statoil, the Norwegian national oil company; Carnival Cruise Line, a passenger shipping company; and SICPA, a provider of security and authentication services to national governments worldwide.

"Industrial customers operate capital-intensive legacy assets that are often decades-old," said Jeff Jensen, Chief Technology Officer of Arundo Analytics. "Allowing our customers to connect to these assets through Edge Agent and inform better business decisions in remote or disconnected operating environments is core to Arundo's vision to transform heavy industry through data-driven insights."

Arundo Edge Agent enables industrial analytics in rugged, remote or disconnected environments. New features and functionality in Arundo Edge allow users to:

-Quickly and easily install Edge Agent on Windows, Linux or Mac OS devices

-Support highly distributed architectures with offline buffering

-Use on-Edge compute chains for pre-stream processing of "virtual" or calculated sensors

-Directly access a local, web-based interface including streaming visualization

Ellie Dobson, VP Data Science at Arundo Analytics, noted, "Arundo Composer, together with Arundo Fabric, automates the significant work and technical infrastructure required to turn desktop data science models into enterprise-scale machine learning applications. This software enables data scientists to focus on data science, rather than spending weeks on software engineering, model front-end development, or other issues, or coordinating with IT administrators, software developers, or DevOps/reliability engineers in order to publish machine learning models to the cloud."

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