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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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Latest software enhancements empower lenders with multi-contract visibility, expanded data insights, and streamlined customer collaboration tools
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National equipment finance and lease company Wallwork Financial has contracted with Tamarack Technology to implement the Tamarack AI® DataConsole™ and AI agents—enhancing its ability to serve the evolving needs of transportation customers. This investment positions Wallwork to harness the power of AI for faster, data-driven decision-making and enhanced customer engagement across the transportation industry.
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Scott Nelson and Bob Rinaldi show how data visualization and AI are transforming operations like syndication, revealing hidden trends and driving smarter, faster decisions.
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Like many places in the country, Minnesota has weather that can change drastically overnight! Just yesterday it was sunny, calm and 82 degrees with water temps in the 70s. Today, the high will be 59, and I find myself starting a fire in the woodburning stove. Generally, late August weather provides sunny and comfortable days and chilly nights – very conducive to leaving the windows open at night for cool fresh air for sleeping.
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