Big Data and A.I.

Published on the 26th of November 2025

Séminaire
19 May 2026 - 09:30

This course is designed to provide the best practices in the compilation, management and use of big data and applications of A.I. in a central bank. 

This course provides a platform to discuss the different strategies of how big data data and A.I. can contribute to enhance the robustness of economic analysis and research in a central bank. It will outline how the Banque de France manages big data and A.I. in all its forms. It will focus on the use of big data (compilation, handling, sharing) and its strategy and governance as well as outline the use of A.I. in a central bank.
 

Apply

Dates: 19-21 May 2026
9h30
Duration: 3 days
Application deadline: 15 May 2026
Language: English
Location: Online
Contact: Luwana SCHALL
E-mail: luwana.schall@banque-france.fr

Content


Contributions will be made by experts from the Banque de France, other central banks and international organisations. The seminar will cover the following topics

  • Big data and A.I. in central banks (strategies and governance)
  • Environmental impact of big data / A.I. and solutions provided
  • Use of Big Data: monetary policy; forecasting; market analysis; company ratings; climate etc.

Target participants

This seminar is primarily intended for staff of central banks and supervisory authorities interested in the compilation, management and use of big data and A.I. The attendees might be invited to participate actively: contributing to a survey, discussing on-line with the speakers, sharing their experience, assessing the seminar.  

Reminder:

  • Only staff from public bodies (central bank, ministry, national statistical office…) may apply to IBFI seminars;
  • We accept only valid official domains (from the type of institutions above) as main e-mail address. We need at least one official e-mail address per participant. 

Applications not fulfilling these two conditions will be automatically rejected. 

Please note 

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Updated on the 26th of November 2025