Machine Learning 101 with Snap Finance
Learn how machine learning can supercharge the collections process and how Snap Finance became advocates of digital-first, ML-powered collections.
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In 2021, businesses across verticals are embracing the value of machine learning systems, which learn and self-optimize over time. The collections industry is no exception but questions remain for many lending organizations: what does it really take to make the transition to ML-powered collections, and what is the long-term ROI?
In our on-demand webinar, Ohad Samet, CEO and co-founder of TrueAccord, will give a primer on how machine learning can supercharge collections processes. We will also be joined by Snap Finance, who will share how they moved from skeptics to advocates of a digital-first, ML-powered approach to collections.
Additional topics will include:
- Why all “machine learning” solutions are not made equal — and what key metrics to look for when evaluating technology vendors
- How best-in-class machine learning collections solutions avoid bias and help lending organizations remain compliant with regulations
- How to develop a crawl-walk-run approach to decision-making and vendor adoption, when partnering with machine-learning-powered collections solutions providers
