credit
Static credit models freeze risk in time, but Scott Nelson and Khrystyna Voloshyn argue that profitable equipment finance comes from tracking how borrowers adapt in herds, spotting behavioral patterns early and managing risk as the living, shifting force it really is.
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The news beat on AI continues as, “You must have it!” But now we also hear “companies are struggling with AI” too. One recent survey found that 71% of CFOs are "flying blind" and struggling to monetize AI. Initiatives built around a disruptive technology like AI are always challenging because both the technology and its applications are unfamiliar. In the case of AI they can also be abstract. “Work smarter not harder” is a great tagline, but “smarter” is hard to measure without standardized testing.
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After attending the National Equipment Finance Association’s (NEFA) Fall Conference in Minneapolis, I can honestly say this year’s event stood out as one of the best. The conference brought together a great mix of lenders, brokers, service providers and technology partners to discuss where our industry is headed and how we can all continue to improve.
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As AI usage grows across all industries, equipment lenders are looking to leverage it for their own purposes.
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The idea that “risk never sleeps” came up at Tamarack recently when we were re-training our AI-based delinquency predictors. A team member pointed out that “the predictors are getting tougher.” My first thought was: “Well, that’s not surprising, delinquency risk has been growing.”
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