Avantis PRiSM Software Includes New Alert Management Workflow in Latest Release

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Avantis PRiSM Software Includes New Alert Management Workflow in Latest Release

Schneider Electric enhances predictive asset analytics software with embedded alert management workflow to better prioritize actions and events when monitoring a large fleet of industrial assets

LAKE FOREST, Calif. – Oct 13, 2015 – Schneider Electric Software, a global leader in industrial software and part of Schneider Electric, the global specialist in energy management and automation, recently released the newest version of its Avantis® PRiSM software. Avantis PRiSM 2.8 includes a new alert management workflow feature that makes review, categorization and management of alerts more efficient. The product release also features enhancements to the PRiSM architecture that better enable and secure PRiSM for cloud applications.

“PRiSM’s new alert management workflow functions are key for a truly scalable and comprehensive monitoring program in fleet-wide implementations with a large number of assets,” said Bill Bielke, Avantis PRiSM product manager at Schneider Electric. “Users need to easily identify and differentiate between new, ongoing, and worsening anomalous conditions. Our alert management workflow streamlines this process, allowing engineers and analysts to focus their time on the alerts and events that could have a significant impact on equipment reliability and operations.”
PRiSM uses a proprietary algorithm, machine learning and advanced pattern recognition to identify and alert on subtle changes in equipment behavior for early warning notification and diagnosis of asset health and performance problems. The software has the proven ability to alert plant personnel of asset failures days, weeks or months before problems occur, leading to increased equipment reliability and reduced unplanned downtime.
Avantis PRiSM predictive asset analytics software is part of Schneider Electric’s expanding software business for power, oil and gas, mining and other process industries.

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