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AVEVA Predictive Analytics

In a no-code environment, AVEVA Predictive Analytics enables industrial companies to prevent costly, unplanned disruptions. AVEVA Predictive Analytics has over 15 years of experience in delivering AI-based predictive analytics at scale, enabling industrial users to identify asset anomalies weeks or months in advance of failure. It is capable of predicting the time to failure, which enables the establishment of maintenance priorities, in addition, it provides prescriptive advice, including actions to resolve issues.

Industry leaders rely on AVEVA Predictive Analytics to prevent unplanned disruptions and optimize asset reliability.

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Monitoring Approach

Monitoring Approach

AVEVA™ Predictive Analytics uses artificial intelligence, advanced pattern recognition, and sophisticated data mining techniques. Monitor a single asset, a specific plant or thousands of remote assets across hundreds of sites.

Prevent Losses with Warnings

Prevent Losses with Warnings

Use customized data and diagnostic tools to gain precise real-time insights, allowing users to perform timely, consistent analysis of alert conditions to quickly diagnose and remediate problems.

Capture Anomalies

Capture Anomalies

Get advanced alert notifications and utilize case management for knowledge capture and comprehensive reporting. Users without programming or data science knowledge can deploy, validate, and interpret the results of predictive models.

Monitoring Approach

Monitoring Approach

AVEVA™ Predictive Analytics uses artificial intelligence, advanced pattern recognition, and sophisticated data mining techniques. Monitor a single asset, a specific plant or thousands of remote assets across hundreds of sites.
Prevent Losses with Warnings

Prevent Losses with Warnings

Use customized data and diagnostic tools to gain precise real-time insights, allowing users to perform timely, consistent analysis of alert conditions to quickly diagnose and remediate problems.

Capture Anomalies

Capture Anomalies

Get advanced alert notifications and utilize case management for knowledge capture and comprehensive reporting. Users without programming or data science knowledge can deploy, validate, and interpret the results of predictive models.