AVEVA has introduced its latest software release, AVEVA Predictive Analytics, designed specifically for predictive monitoring of industrial assets in various sectors such as oil and gas, power, chemicals, mining and minerals, and manufacturing.
The software aims to assist industrial operators in attaining maximum reliability and performance of their industrial assets, simultaneously enhancing sustainability and boosting workforce productivity.
The latest software release simplifies the process of deploying, validating, maintaining, and interpreting the outcomes of predictive models. As a result, stakeholders can make more informed and timely decisions to enhance profitability.
One of the significant features of this release is the automated model building, which allows users to independently deploy new predictive models in a single step. This functionality drastically minimises the time required to implement and expand the predictive maintenance solution, reduces errors, and maintains consistency in model development.
Inderpreet Shoker, ARC Advisory Group said “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 operationalise predictive monitoring of their assets at scale enabling rapid improvements in asset reliability and performance.”
AVEVA is fulfilling the demands and expectations of the market and its customers by offering a “bring your own algorithm” capability. This empowers data science teams to integrate their own artificial intelligence algorithms and intellectual property into the solution.
Moreover, the seamless integration with the AVEVA PI System guarantees that AVEVA’s customers are continuously maximising the value of their current industrial software investments.
“Data is the new currency of the industrial world and an effective predictive asset monitoring strategy is predicated on the ability to continuously transform massive amounts of sensor data into clear and actionable results,” said David Bleackley, Value Chain Optimization Lead at AVEVA.
“Operationalising a predictive monitoring program at scale has never been easier than it is now with AVEVA’s PI System and latest predictive analytics software release”.
