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Click this link to view the Whitepaper: The Business Case for Machine Learning in Predictive Maintenance, a copy will also be sent to your inbox shortly.
Why not jump over to our customer case studies where you can see how VROC’s predictive maintenance solution has been used to improve asset reliability, failure avoidance and to identify the root cause of a complex operational problem.
“We have prolonged the gas compressor reliability to four months, from a maximum of 2 weeks running. The GCM uptime has improved to a value of 21.7m USD.”
“Let everyone use, don’t restrict to any process engineer or operation engineer, give everybody access including business planners, let everyone use it. Because the beauty of this is that it will open the eyes of the importance of Artificial Intelligence in Oil and Gas.”
“Most companies have struggled to address all the potential opportunities for data science in their business, because there are so many, and then they struggle to operationalize those models and make them into applications which users, engineers, maintainers and reliability engineers can make use of… The advent of autoML is trying to lift and remove some of the challenges of scaling and operationalizing models.”
Downtime is bad for businesses - in fact, McKinsey estimates that "outages typically consume between a third and half of the overall maintenance budget and can reduce annual production volume by 5 to 10 percent." Can predictive maintenance turn the dial?Read Article
Artificial intelligence provides critical insights for improved maintenance and shutdown planning, increasing the reliability of industrial facilities, and reducing operational costs.Read Article
Ready to embark on a pilot project or roll-out the innovation enterprise wide? Perhaps you need assistance integrating your systems or accessing your data? We have a solution to help you as you progress through your digital transformation.
Interested in a demo of one of our data solution products?
DataHUB4.0 is our enterprise data historian solution, OPUS is our Auto AI platform and OASIS is our remote control solution for Smart Cities and Facilities.
Book your demo with our team today!
Ready to embark on a pilot project or roll-out AI innovation enterprise wide? Perhaps you need assistance integrating your systems or storing your big data? Whatever the situation, we are ready to help you on your digital transformation.
The efficient deployment, continuous retraining of models with live data and monitoring of model accuracy falls under the categorisation called MLOps. As businesses have hundreds and even.
Learn more about DataHUB4.0, VROC's distributed enterprise data historian. Complete the form form to download the product sheet.
Discover how you can connect disparate systems and smart innovations in one platform, and remotely control your smart facility. Complete the form to download the product sheet.
'OPUS, an artistic work, especially on a large scale'
Please complete the form to download the OPUS Product Sheet, and discover how you can scale Auto AI today.
Interested in reading the technical case studies? Complete the form and our team will be in touch with you.
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