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MSCA DIGITAL at AI in Financial Markets Research Forum

The MSCA DIGITAL Network was cordially invited by Raiffeisen Research for hosting the first AI in Financial Markets Research Forum and . The forum took place on the November 12th in Vienna (Austria), with the goal of exchanging current research on AI in Finance between industry and academia. The forum spanned an entire day, booked with many speakers and activities.


In the morning Dr. Frédérik Sinan Bernard, post-doctoral researcher at the University of Twente and project manager of MSCA DIGITAL, got the opportunity to introduce the research project and our mission. Thereafter, Dr. Codruta Mare underscored the importance of industry involved within creating her Work Package, related to European Financial Data Space.

Dr. Ronald Hochreiter then concluded and talked about the role AI will play in Financial Market and how companies can benefit. The speakers also took part in the afternoon session 'AI for Financial Markets and Applications in Finance'.


We would like to thank Stefan Theussl and associates of Raiffeisen Research for facilitating the event and discussions on AI in Finance. See the link to their original LinkedIn post for more details about the event.

 
 
 

20 Comments


Kornwa Ashew
Kornwa Ashew
Dec 30, 2025

MSCA DIGITAL’s participation in the AI in Financial Markets Research Forum highlights the growing connection between academic AI research and real financial market needs, with a strong focus on practical, transparent solutions for risk analysis, forecasting, and fraud prevention, while the wider discussion reflects how machine learning fintech is becoming a core driver of scalable and trustworthy financial technologies.

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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Horizon Europe: Marie Skłodowska-Curie Actions. Neither the European Union nor the granting authority can be held responsible for them. This project has received funding from the Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101119635

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