Liventus' acquisition of Tamarack brings together over 50 years of equipment finance domain expertise, seven equipment finance-specific platforms, and the engineering depth to configure and optimize every one of them.

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AI advancements are enabling lenders to better predict residual values, a boon for the equipment finance industry as machines become increasingly tech heavy.

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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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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 team members have been recognized by the Monitor in its annual listing of the “Most Influential People in Equipment Finance.” The list celebrates the changemakers, innovators and people working behind the scenes to shape the future of equipment finance.

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