Objective

Machine learning, artificial intelligence (AI) and big data are among the most transformative and dynamic innovations in the financial sector today. These developments pose significant challenges for statistics in general and for central banks in particular. Consideration has to be given to key questions arise such as what role does data play in the decision-making process, and why is it essential to handle it correctly? How can central banks adapt to these developments when data volumes are growing at an unprecedented pace?

This expert panel seeks to address these pressing issues. It will provide a platform for central bankers from around the world to share the strategies they employ to enhance their data collection and analysis methods. The panel will also facilitate the exchange of knowledge and experiences across countries on this increasingly critical topic.

The discussions will focus on various use cases for central banks in the fields of machine learning, artificial intelligence, and big data, exploring their potential applications and implications.

Contents

• Intelligent systems: challenges and limitations
• Big data: collection, analysis and utilisation
• Data governance and management: best practices and frameworks
• Case studies: insights from central bankers, regulators, supervisors and other industries
• Data protection and access: legal and ethical considerations

Target group

This expert panel is designed for central bankers, regulators and supervisors who are actively involved in developing best practices for big data mining and management. Participants are expected to actively contribute to the discussions and will be invited to present and debate current issues related to machine learning, artificial intelligence and big data in their respective jurisdictions.

Please note

A nomination is required in order to participate in our in-person courses.