On Bloomberg: Using Machine Learning to Change Debt Collection

By on August 22nd, 2018 in Industry Insights
TrueAccord Blog

A San Francisco-based startup that uses algorithmic machine learning to study consumer behavior is trying to flip a decades-old model that banks and other creditors use for collecting debts.

Machine learning can help banks and other financial services companies preserve their relationships with customers in delinquency rather than sending them to collections and saying goodbye, Ohad Samet, CEO of TrueAccord Corp., said in an interview with Bloomberg Law.

Read more on Bloomberg.

Leave a Reply

Your email address will not be published. Required fields are marked *