The November session of the IIF's DataTalk series explored alternative credit scoring. The call covered key topics such as the data used for building credit scores, their accuracy when compared to non-traditional data sets, and how algorithms used for credit scores leverage AI and ML to analyze these changing sets of information. This note provides a summary of the discussion, respecting that the conversation was conducted under Chatham House Rule and comments are unattributed.

The DataTalk series continues later this month on December 20 at 9:00 AM Washington DC / 2:00 PM London / 10:00 PM Singapore, where we will focus on data exchange, APIs, and security.

DataTalk is our community of practice to bring together data officers and experts for interactive sessions on key data topics in financial services.

For more information on this forum, please contact Emma Handel ([email protected])