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Gabriel Hubert

Showing 1–3 of 3 transcripts.

  1. RAISE Summit42 min

    2035 Decoded: Navigating the Decade Ahead | Dust, Glean & More | RAISE Summit 2026

    Gabriel Hubert, Eve Bodnia, Arvind Jain, Nico Laqua, Raphaelle D'Ornano, Chris Blundell

    Projected as a 10-to-15-year strategic journey, the panel outlines how enterprises must prioritize context graphs and data ownership over specific models to navigate the divergence between the 125 projected S&P 500 winners and the majority of firms unable to transition to agentic workflows. While Large Language Models dominate creative tasks, the future architecture will integrate Energy-Based Models for critical reasoning, demanding talent with advanced systems thinking to manage non-deterministic risks in sectors like finance and robotics. Long-term competitive advantage will ultimately accrue to organizations that retain control over system specifications and leverage human oversight to compound value through defensible data moats.

  2. Sequoia Capital1h 3m

    Getting the Most From AI With Multiple Custom Agents ft Dust’s Gabriel Hubert and Stanislas Polu

    Gabriel Hubert, Stanislas Polu, Konstantine Buhler, Pat Grady

    Dust positions itself as a horizontal platform for AI adoption, predicting a bimodal future where enterprise users seamlessly switch between frontier APIs and local models to navigate varying technological plateaus. By prioritizing product-market fit over proprietary model training and leveraging Retrieval-Augmented Generation to unlock data silos, the company enables diverse teams to build specialized agents that augment human work rather than replace it. This strategy targets a demographic of young power users and aims to scale from isolated pilots to organization-wide adoption, facilitating everything from cross-functional translation to global expansion despite current limitations in reasoning breakthroughs.

  3. 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.