"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."
Arvind Chetty
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.
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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.
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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.
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