Avoiding Machine-Learning Bias in Digital Collections Communications

machine learning bias

If you own an auto dealership, you’ll likely offer a college student the used but affordable compact sedan. You’ll offer the 30- and 40-somethings with growing families the SUV or minivan. And you might offer the early retiree his or her dream car, be that a sports car, motorcycle, or RV. As human beings, we use … Read more

4 RMA Conference takeaways from Toronto

conference takeaways

I just returned from the 2018 Receivables Management Conference in Toronto.  Overall, it was a great conference — small and intimate, which drives good interactions and dialogue about client pain points and business needs now and in the future.  We met a lot of new prospective customers and also got to talk to existing clients … Read more

Katabat Releases Data-Driven Debt Collections Platform Powered by Machine Learning

digital debt collections

We are proud to announce the release of Katabat Engage, a new machine learning-powered product that delivers automated digital collections to our clients and the broader marketplace. Katabat Engage helps lenders collect more through a platform of personalized, digital communications tailored to customer preferences. Powered by a proprietary machine learning platform, Engage enables lenders to … Read more