AVEVA Advances Predictive Analytics Market with New AI-Powered Software Release

Author photo: Inderpreet Shoker
By Inderpreet Shoker
Company and Product News

AVEVA announces the launch of its latest AVEVA Predictive Analytics software release, purpose-built for predictive monitoring of industrial assets in oil and gas, power, chemicals, mining and minerals, and Predictive Analyticsmanufacturing.  The software helps industrial operators achieve the highest possible levels of reliability and performance of industrial assets while improving sustainability and increasing workforce productivity.

This software release makes it significantly easier to deploy, validate, maintain, and clearly interpret the results of predictive models, enabling asset stakeholders to make better, more timely and informed decisions to improve profitability.

The new release features automated model building. This new capability enables users to autonomously deploy new predictive models in a single action.  This reduces the time required to deploy and scale the predictive maintenance solution while reducing errors and ensuring consistency in model development.

AVEVA continues to deliver on market and customer requirements with a bring your own algorithm capability.  This enables data science teams to add their own artificial intelligence algorithms and intellectual property to the solution.  Furthermore, deep integration with the AVEVA PI System ensures AVEVA’s customers are continuing to capture increased value from their existing industrial software investments.

Inderpreet Shoker, ARC Advisory Group commented, “With rising market pressures industrial organizations must find ways to facilitate agile, resilient, and profitable operations. The predictive analytics market continues to evolve as the technology has advanced to a point where the data can be leveraged in such a way that asset stakeholders can easily operationalize predictive monitoring of their assets at scale enabling rapid improvements in asset reliability and performance. 

“Key for success is connecting data, systems and processes, enabling people throughout operations and maintenance to make, and act upon, decisions confidently. Scalability of predictive maintenance efforts for maximum return on investment will definitely be seen as a must have for many industries going forward.”



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