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Description
AI, digital twins, and IoT sensors promise to profoundly transform the management of the energy transition: optimizing networks, anticipating consumption, accelerating climate models, and simulating territorial changes. But do these technologies truly allow us to move from experimentation to precise, large-scale management? And at what cost in terms of resources, given that AI and digital infrastructure themselves have a growing energy and water footprint? This panel will combine industry experience and critical analysis to examine the conditions for digital technology to truly serve the energy transition.
