"AI does not replace “I”. intelligence is still required when dealing with anything to do with Ai, and what Ai does really well is provide good decision-making support for stakeholders to be able to make good decisions well ahead of time."
Reducing OPEX is critical for Upstream, Midstream and Downstream oil and gas operators worldwide. Operators are seeking innovative ways to modernize maintenance strategies, reduce spares inventories, optimize and reduce personnel, and improve the reliability and life-span of critical assets. AI Predictive Analytics is a new approach to reducing OPEX in oil and gas, with artificial intelligence providing critical insights for improved asset integrity and optimised processes. Watch this virtual event and discover how you can start reducing your OPEX costs in just weeks.
Who should Watch:
Arvind brings to the VROC team 4 decades of energy industry experience. With an M.S. in Mechanical Engineering, Arvind has held technical roles worldwide for companies including SCANA Corporation and Schlumberger, following which he switched focus to Business Development. Arvind is actively involved in the oil and gas community, mentoring graduates and students along with being the previous Vice-Chairman of Subsea Energy Australia and a committee member of the SPE-WA. Arvind is passionate about solving client process and reliability problems using VROC’s innovative AI technology.
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.
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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.
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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.
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