Expert panel

Duration

3 – 5 June 2020 (3 days)

Deadline for application

10 April 2020

Venue

Frankfurt

Objective

Machine learning, artificial intelligence and big data

are currently among the most powerful and dynamic

innovative developments in the financial sector. This

presents challenges, amongst others, for statistics in

general and for central banks in particular: what roles

do data play in the decision-making process, and why

is it crucial to find the right way to deal with them?

How do central banks deal with these developments

in times when volumes of data are growing so fast?

The expert panel aims to address such issues. It will

provide a forum for central bankers across the globe

to present the strategies they use to develop the col-

lection and analysis of data and enable an exchange

of knowledge among countries on this increasingly

important topic.

Content

– Intelligent systems: challenges and limitations

– Collection, analysis and use of big data

– Data governance and management

– Case studies from central bankers, regulators and

supervisors as well as other industries

– Data protection and data access issues

Target group

The expert panel is aimed at central bankers as well as

regulators and supervisors with an interest in helping

develop best practices in big data mining and man-

agement. Participants will be expected to make an

active contribution to the discussions and will be in-

vited to present and discuss current issues on machine

learning, artificial intelligence and big data in their

own jurisdiction.

Machine learning, artificial intelligence and big data – the perspective of central banks