Digital Transformation
The energy sector is rapidly transforming toward a data-driven, decentralized future where combining human expertise with AI and machine learning unlocks new efficiencies, solves complex challenges, and creates a decisive competitive advantage.
AI is transforming oil and gas, but the real change will come from young professionals (YPs) who bridge technology and field expertise. By leading pilots, building networks, and challenging old assumptions, YPs can drive the industry’s digital transformation from within.
By integrating AI into every layer of the energy ecosystem, from renewable forecasting to dynamic pricing, the path toward secure, sustainable, and affordable energy becomes not just possible but achievable.
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The Way Ahead team spoke with Cox on a range of topics, from industry issues to and YP-centric advice. -
The two technology startups aim to bring scale to the visual side of oilfield automation with a new deal that will cover 90% of US energy assets.
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Although the headline that gets the clicks is “AI is taking our jobs,” the current reality is that “Automation is replacing some of our tasks.”
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The world’s largest oilfield services firm and one of the largest providers of SCADA systems have formed a joint venture to create Sensia, an integrated automation suite.
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The technology is being proven in millions of phones and homes across the world. Now, a small group of software startups wants to introduce chat bot technology to oil and gas professionals.
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[ Winners of the Sinergia 2018 competion: (left to right) Diana Ramos, Miguel Sanchez, and Juan Barrero.]
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Saipem is taking the lead in advancing the capabilities of FlatFish, an autonomous underwater vehicle being developed by Shell for commercial application by 2020.
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Drones will be just one of the tools that the service company uses in its drive toward net-zero carbon emissions.
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While a résumé matters for getting a data science job, having a portfolio of public evidence of your data science skills can do wonders for your job prospects.
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This article gives a succinct overview of artificial intelligence, its emerging opportunities, prospects, and challenges, and concludes with recommendations to accelerate the admission of AI into workflows.
