Models
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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Inspired by the innovative insights of Converge 2024’s keynote speaker Peter Hinssen, Scott Nelson, a self-proclaimed technologist, outlines key technology takeaways from the conference—from data becoming knowledge to the intergenerational conflict that emerges from new technologies.
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In her role as a data scientist, Voloshyn will support the development and optimization of Tamarack’s suite of AI products. This includes developing algorithms and models to support the machine learning (ML) processes that drive Tamarack Predictors, using ML to classify and categorize customer data, and developing new products and tools to keep Tamarack at the forefront of the industry.
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Are you getting tired of hearing about AI yet? Do you find headlines like “Why I can’t live without ChatGPT” or “AI can’t do my job” (I paraphrased both of those titles) esoteric, intimidating, or just plain boring at this point?
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