EFA
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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Artificial intelligence is reshaping the equipment finance sales process from a numbers game into a precision science — changing not just how we sell, but who we sell to.
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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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The days are growing shorter, the air is crisp, and here in Minnesota the tamarack trees are beginning their yearly transformation—shifting from soft green to glowing gold before shedding their needles for winter. This change of seasons is a reminder that transition is a natural part of life. Like the lean bear preparing for the long winter months ahead, we all have goals to tackle before year-end. While our work may not be as simple (or as satisfying) as a bear adding a few extra pounds, we remain focused on moving the needle and making progress on what matters most.
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As the days grow shorter and the air turns crisp, there’s something timeless about gathering around a campfire – especially here in the Midwest.
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