Marex Group Hosts London Briefing on Generative AI in Hedge Funds

Reuters
Dec 02, 2025
Marex Group Hosts London Briefing on <a href="https://laohu8.com/S/AICOF">Generative AI</a> in Hedge Funds

Marex Group plc recently hosted a breakfast briefing in London, bringing together industry professionals to discuss the rapid integration of generative AI within the hedge fund sector. The event featured Tom Kehoe, Global Head of Research and Communications at AIMA, who presented findings from AIMA's new report on AI adoption in alternative investments. Attendees explored how generative AI is enhancing research, risk analysis, and investor communication, while also addressing challenges related to governance, skills, and regulatory compliance.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Marex Group plc published the original content used to generate this news brief on December 02, 2025, and is solely responsible for the information contained therein.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Most Discussed

  1. 1
     
     
     
     
  2. 2
     
     
     
     
  3. 3
     
     
     
     
  4. 4
     
     
     
     
  5. 5
     
     
     
     
  6. 6
     
     
     
     
  7. 7
     
     
     
     
  8. 8
     
     
     
     
  9. 9
     
     
     
     
  10. 10