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Energy Transition, Strategies and Competencies: Outcomes from an AI Decision Support System
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 1st Geoscience & Engineering in Energy Transition Conference, Nov 2020, Volume 2020, p.1 - 4
Abstract
Summary
The project ZEST (Zero Emission - Skills for Transition) uses an AI to investigate the changing needs of the energy sector in terms of competences to face the challenges of the energy transition. The results indicate that the Oil and Gas sector is generally adapting to this challenge in the continuity of its core capabilities, in particular by realigning its portfolio. Data Science and Machine Learning are relevant to foster agility, confirming what is widely communicated in the media. Soft-skills which favour innovation, such as searching alternatives, changing paradigms, adaptability, anticipating situations, versatility, future orientation, are perceived as central to addressing the energy transition. We are preparing a second run of the AI to explore which additional players in the energy transition, beside the O&G and the mining industry, will most likely require the expertise of geoscientists.
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