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Masterclass and Networking Evening

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

LUXEMBOURG

Tuesday, May 5th

6:30 PM - 9:00 PM

Luxembourg Chamber of Commerce

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Join us in Luxembourg for an exclusive event organized by ESSEC Business School in collaboration with the House of Training - Luxembourg and the Luxembourg Chamber of Commerce:

Tuesday, May 5th
6:30 PM - 9:00 PM
Luxembourg Chamber of Commerce - 7, rue Alcide de Gasperi L-2981 Luxembourg-Kirchberg


Key Takeaways

  • 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.

Agenda of the Evening

6:00 – 6:30 PM Welcome and Registration by the ESSEC Team
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


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7 550
étudiants en formation initiale, dont 38.32% d’étudiants internationaux
7 550
étudiants en formation initiale, dont 38.32% d’étudiants internationaux
7 550
étudiants en formation initiale, dont 38.32% d’étudiants internationaux
7 550
étudiants en formation initiale, dont 38.32% d’étudiants internationaux
7 550
étudiants en formation initiale, dont 38.32% d’étudiants internationaux
7 550
étudiants en formation initiale, dont 38.32% d’étudiants internationaux

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

By Professor Luciano Somoza

Duration: 1 hour

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.

What to Expect:



   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.

Julien Malaurent

Executive Vice-President of Post-Experience Programs and Corporate Relations, Professor of Information Systems and Expert in Artificial Intelligence

ESSEC Business School

Julien Malaurent is a Professor of Information Systems at ESSEC Business School, where he also serves as Co-Academic Director of the METALAB and Academic Director of ESSEC's online programs. With a PhD from ESSEC, his research explores how users in large multinational organizations circumvent information systems. His work is widely published in leading academic journals such as the Journal of Management of Information Systems, European Journal of Information Systems, and Journal of Information Technology. Julien is also an editor for the Information Systems Journal. He teaches courses on digital transformation and AI management across ESSEC's pre- and post-experience programs.

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Jane Doe

Job Position at Company Name

Jane Doe

Job Position at Company Name

Jane Doe

Job Position at Company Name

Jane Doe

Job Position at Company Name

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Professor - Speaker

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.

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