Green IA speakers and experts
Artificial intelligence has established itself as a major driver of transformation for organisations. But behind its promises of performance and optimisation, it also raises considerable environmental and energy challenges. Model training, data storage, computing power: AI's carbon footprint is becoming a strategic issue. Green AI offers a new approach that aims to reconcile technological innovation with environmental restraint. Adopting a Green AI approach does not mean giving up performance, but rethinking how it is achieved. It means favouring more efficient models, optimising architectures, selecting high-impact use cases and limiting unnecessary energy consumption.
This approach invites a shift from a logic of raw power to one of controlled intelligence, where every technological decision is assessed in light of its overall impact. Beyond the technical dimension, Green AI drives a broader transformation of organisations. It involves rethinking priorities, training teams and building environmental criteria into strategic trade-offs. It also questions data governance, the uses of AI and companies' responsibility in the face of climate challenges. AI then becomes a tool in the service of sustainable performance, not an end in itself.
Bringing in a Green AI expert gives your teams a clear, structured and operational reading of these challenges. It means understanding how to identify the truly relevant use cases, measure their impact and put leaner, more responsible practices in place. The speakers draw on concrete examples, proven methodologies and lessons learned to turn a complex problem into tangible levers for action. Each talk is designed as a moment of awareness and a springboard for action. It helps align innovation, performance and responsibility, providing clear reference points for steering AI projects that are both effective and sustainable. The aim: to make Green AI a genuine strategic advantage, in the service of sustainable, well-managed transformation.
- Understand the real environmental impact of artificial intelligence
- Optimise the use of AI to combine performance and restraint
- Build sustainability criteria into technology decisions
- Turn AI into a lever for responsible, differentiating performance