DELL TECHNOLOGIES, NVIDIA & BNP PARIBAS at AI for Finance by Artefact – Driving financial innovation, adopting AI and gen AI

The panel explores the challenges and solutions for adopting AI in finance, featuring speakers from BNP Paribas, Dell Technologies, and NVIDIA. While AI has been present in finance for years, the rise of generative AI (GenAI) introduces new opportunities and challenges, such as natural language processing (NLP) and infrastructure demands.

NVIDIA, a major AI player, supports financial services with tools and open-source software. GenAI growth, spurred by tools like ChatGPT, has expanded interest globally. While the U.S. and China lead, Europe, especially France, is quickly catching up. AI is used across finance, from risk management to high-performance computing.

Dell emphasizes the complex nature of AI projects, involving multiple roles like business, data science, and IT. One major issue is data quality; poor data undermines AI model accuracy. IT infrastructure must also support seamless collaboration. Traditional IT models often slow AI projects due to governance and unrealistic expectations, leading to project failures.

BNP Paribas states that most current AI value comes from structured data, not GenAI or NLP. Although these technologies will soon play a key role, their impact is still developing. The focus on GenAI is seen as excessive, BNP highlights the need to utilize various AI tools effectively. Smaller AI models are also emerging due to lower costs and scalability.

GenAI speeds up proof-of-concept development but can hinder focus on scalable solutions. Developers are quick to show value but may lack strategies for long-term application. The shift is now from training models to evaluating their real-world use. High expectations for AI performance add pressure to meet ambitious goals.

BNP Paribas faces hardware and software challenges for AI. Computing requirements are increasing, demanding infrastructure updates. On-premises AI also requires software optimization. Nvidia and Dell highlight the need for collaboration between IT, developers, and business units to support scaling. AI infrastructure should be holistic, integrating software, hardware, and strategy.

AI factories provide integrated infrastructure, software, data, and collaboration for various roles in an organization. This approach supports sustainable, flexible, and adaptable AI systems. Emerging hardware like GPUs, language processing units (LPUs), and neural processing units (NPUs) require open, modular systems ready to evolve with AI trends.

BNP Paribas partners with Dell, NVIDIA, and others for AI model training and optimization. The focus is on value generation rather than technology alone, ensuring that AI aligns with business needs and effectively serves customers.

The panel stresses an AI strategy focused on value creation, using scalable infrastructure to stay current with technology. Being proactive, informed, and ready to implement an AI factory approach can help finance companies maximize AI benefits while adapting to future trends.