The SAM Scientific Committee's webinars allow you to benefit from the expertise of its distinguished members. They also provide an opportunity to invite professors and researchers from the academic network and highly qualified experts associated with the continuing education platform. 

The speakers, Dr. Marcial Messmer and Dr. Ulrich Carl, bring a wealth of experience as founders of mu Capital Management, an investment boutique that specializes in stock selection using a combination of machine learning and traditional systematic approaches. Notably, Dr. Marcial Messmer has been at the forefront of applying machine learning to stock selection problems, having already explored this topic in his doctoral thesis over a decade ago.
 

Target audience
Professionals in the sector who wish to develop, through practical examples, a better understanding of Artificial Intelligence (AI) and Machine Learning (ML), especially in the field of investment.
All Webinar participants from Part 1 / 2025 | To consult the slides - SAM Website (login required)
 

Overview
Understand what AI can (and cannot) do in real-world investment use cases, and why data quality, human judgment, and market efficiency still matter.
 

Objectives

1. Fundamentals AI – briefly

• Briefly recall the essential concepts of artificial intelligence, machine learning, and large language models (LLMs).
• Review recent developments and advances in the field of AI and machine learning.
• Identify the strengths and limitations of LLMs. 
   

    2. Investissement with machine learning & LLMs – Use Cases (level 2)

• Evaluate the use cases of LLMs vs machine‑learning approaches on structured data.
• Understand how LLMs can be integrated into backtesting workflows.
• Select stocks using machine learning.

• Evaluate the real performance of AI‑based investment strategies.
   

     3. Exchange and takeaways

    At the end of this session, participants will be able to synthesize the key insights 
       from the webinar and identify actions or points to watch in their professional context.

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