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  1. RAISE Summit41 min

    'GenAI at Scale Measuring Enterprise Outcomes in the AI-First World' | RAISE Summit 2024 | Paris

    François Candelon, Yuriy Nevmyvaka, Yannis Daubin, Harry Grieve, Jeremy Harroch, Antoine Courret

    Leaders from Morgan Stanley, BCG, Databricks, and emerging tech firms convened to analyze the divergent paths of AI adoption, highlighting that successful enterprise integration depends more on human workflow re-engineering and change management than on technological capabilities. Key insights revealed that while financial services are deploying production-grade models and decentralized compute protocols are lowering costs, the primary barrier remains the lack of mature data platforms and the cultural resistance to blending human creativity with AI efficiency. Ultimately, the panelists agreed that future success will be dictated by navigating strict regulatory landscapes, preserving open-source innovation, and prioritizing sovereign data sovereignty to enable secure, scalable deployment across global industries.

  2. RAISE Summit46 min

    'AI Blueprint Deploying GenAI for Enterprise Transformation' | RAISE Summit 2024 | Paris

    Gabriel Hubert, Biljana Kaitovic, Bruno Zerbib, Laetitia Cailleteau, Philippe Battel, Jérémy Arosh

    Moderated by Jérémy Arosh of Capgemini, a roundtable featuring representatives from Dust, Engie, Orange, Oracle, and Accenture explores how generative AI is transforming enterprise operations from specialist tools into universal workforce assets. The discussion details specific implementation strategies, such as Orange's DINO2 platform boosting developer productivity by 40% and Engie's use of AI for predictive safety maintenance, while addressing critical challenges like the EU AI Act compliance and the management of workforce anxiety. Experts conclude that successful adoption requires a cultural shift toward iterative exploration and robust governance frameworks to navigate the transition from deterministic computing to stochastic, high-impact AI systems.