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24 tips on how to frame all of your Generative AI projects for energy sector
Generative Artificial Intelligence (GenAI) has profoundly disrupted our personal and professional practices over the past few years. This innovative and "disruptive" technology has elicited diverse reactions: while some companies embrace it with enthusiasm, others prefer a more measured approach. Regardless of the chosen strategy, it's clear that GenAI is a major engine of transformation, fundamentally redefining how we interact with data.
For sectors like energy, which are already highly dependent on massive data analysis to manage complex networks and optimize operations, integrating GenAI into their digital toolkit has become a necessity. As a transversal technology, its effective integration demands thoughtful and well-structured governance.
Faced with this reality, a crucial question arises: what are the essential criteria and steps for successfully framing a generative AI project in this specific context?
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