IT
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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As the year draws to a close, the days fill with a familiar hustle and bustle. Homes glow a little brighter, calendars fill a little faster, and offices buzz as teams scramble to wrap up projects, clear off desks, and set their out-of-office messages.
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As the year ends, a few smart accounting decisions can make a meaningful difference to your tax bill and cash flow. Many business owners miss opportunities simply because they act too late. Before joining Tamarack, I spent 20 years as a CFO for an equipment finance company and experienced the busyness of year-end firsthand. As you enter this season, it is important to review non-performing assets and corporate taxes.
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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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AI is reshaping risk management in equipment finance, helping lenders use data not just to avoid or transfer risk but to predict, engage and manage it more strategically. Managing risk is core to equipment finance operations and capital. Risk — the potential of unwanted outcomes — emerges in all shapes and sizes and the industry has instinctively looked to data to help manage risk.
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Tamarack's Scott Nelson was featured on the Monitor Podcast episode 134 with Spencer Thomas of KLC Financial and Alistair Canal of Syndifi. Watch the episode and read more about the collaboration that fueled innovation in equipment finance.
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