BNP PARIBAS at AI for Finance by Artefact – Unveiling the hidden potential of AI
Key learnings from the keynote by Adrien Vesteghem, AI Program Director at BNP Paribas, on unveiling the hidden potential of AI.
Key learnings from the keynote by Adrien Vesteghem, AI Program Director at BNP Paribas, on unveiling the hidden potential of AI.
Key learnings from the panel discussion with Anne-Gaëlle Chasles, Vice-President IBM and Managing Director Financial Services at IBM, Emmanuel Sardet, Deputy Group CIO, and Group CTO at Groupe Crédit Agricole, Su Yang, Head of AI for transaction banking and head of AI and IT innovation at BNP Paribas, and Jérémie Cornet-Vuckovic, Data Consulting Director - Strategy and AI Project at Artefact.
Key learnings from the discussion between Nelson Vadori, Executive Director, J.P. Morgan AI Research at JP Morgan Chase, and Akhilesh Kale, Partner US Financial Services Leader at Artefact.
Key learnings from the discussion between Pierre Van Ingelandt, Digital Officer - Head of Innovation at TotalEnergies Trading, and Lorenzo Croati, Partner at Artefact, on LLM for trading.
Key learnings from the panel discussion with Ghislain Lefebvre, Senior Strategic Account Executive, South Europe at Treasure Data, Guillaume Rincé, CTO at Maif, and Sophie Huss, Chief Marketing Officer at Artefact.
Key learnings from the panel discussion with Jean-Philippe Desbiolles, Managing Director, IBM Financial Services at IBM, Damien Ernst, Deputy CIO and CTO at Crédit Mutuel Alliance Fédérale, and Emma Sezen, Head of AI for Finance at Artefact.
Key learnings from the keynote by Vincent Martin, Technical Business Developer at Pasqal on Quantum computing in finance with neutral atoms.
Key learnings from the panel discussion with Eric Bezille, Office of CTO - CTO Ambassador - Senior Manager Solution Architects at Dell Technologies, Marco Mengotto, EMEA Financial Services Practice Leader at Dell Technologies, Laetitia Faucon, FSO Lead France at Nvidia, and Andrea Mogini, Head of Language Analytics - Pace, at BNP Paribas.
Despite general agreement that AI will transform most industries in the coming decades, a recent BCG survey of 2,700 companies revealed that only 11% have demonstrated significant value and impact using AI. In fact, few have managed to scale beyond pilots. With modest investments in specific AI use cases, the 11% of successful companies can generate up to 6% more revenue, and as investments increase, the revenue impact from AI can triple to 20% or more. The most advanced companies also outperform on other KPIs. But what about the other 90% of companies that struggle to show any kind of impact? What qualities do successful companies have that the others lack?
