Click this link to access the requested resource The Challenges of Implementing Industrial AI.  A copy will also be sent to your inbox shortly.

 

Why not jump over to our customer case studies where you can see first hand how VROC’s industrial AI solution, OPUS, has been successfully implemented, improving asset performance, asset reliability and productivity.

Customer Reviews

Our client's success is our success

“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.â€

Head of Offshore Operations

“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.â€

Manager Head Strategy & Performance Health Safety & Environment, Gas and New Energy

“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.â€

Global Vice President – Data Science Customer Solutions, Worley
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