Masterclass AI & Finance: What’s Real, What’s Next

 Artificial Intelligence is rapidly changing the financial industry, yet much of the discourse remains driven by hype, unrealistic expectations, and misunderstood capabilities. In this context, this masterclass explores what AI, especially Large Language Models (LLMs), can do effectively, what it cannot do, and how to use it responsibly in real financial environments.

 Join us in this exclusive event organized with ESSEC Business School in collaboration with ABBL

 Duration: 1 hour

• Understanding what LLMs do well and where their limitations lie
• Identifying realistic and valuable use cases in finance
• Distinguishing between meaningful innovation and misleading hype
• Addressing the economic and sustainability challenges of current AI models
• Led by Professor Luciano Somoza: Professor of Finance at ESSEC Business School, specializing in AI in finance, digital money, FinTech, banking, and monetary policy.

• 6:00 – 6:30 PM : Welcome and Registration

• 6:30 – 7:30 PM : Masterclass on AI & Finance: What’s Real, What’s Next
  presented by Professor Luciano Somoza

• 7:30 – 9:00 PM : Networking Cocktail
  

• Understand what LLMs do well and where their limitations lie.

• Identify realistic and valuable use cases for AI in finance.
  

• Distinguish between meaningful innovation and misleading hype, while addressing the economic and sustainability challenges of current AI models.
  

Luciano A. SOMOZA

Professor of Finance, ESSEC Business School

Professor Luciano A. Somoza, PhD, is Assistant Professor of Finance at ESSEC Business School. His research focuses on artificial intelligence in finance, digital money, FinTech, banking, and monetary policy. He earned his PhD from the Swiss Finance Institute and HEC Lausanne, and has been a visiting scholar at NYU Stern and the London School of Economics. His work has been presented at leading academic conferences and featured in international media such as the Financial Times and VoxEU. In addition to his academic work, he contributes to policy discussions on central bank digital currencies and has a strong personal interest in monetary history.