Funding
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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Scott Nelson explores three levels of AI fitness. If you’re a beginner, your AI fitness journey must start with data consolidation before you can move on to data assessment and performance.
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“Technology is a tool” and this technology is a perfect fit for HR, as explained by Scott Nelson, president and chief digital officer at Tamarack Technology in this Monitor Web Exclusive. Learn how AI is not only good, but critical to human resource management in equipment finance.
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Fortunately, modern technology stacks present equipment finance entrepreneurs with a very attractive alternative that completely avoids the CapEx investment analysis.
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Billy Bean and Paul DePodesta changed baseball forever by trading a human judgment-led approach for a data-based strategy that propelled the Oakland A’s to a 20-game winning streak. Scott Nelson and Tim Appleget from Tamarack Technology explore the ‘Moneyball Moments’ available to equipment finance through the use of data and analytics.
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One of the oldest and most common business plans in equipment finance is the broker-to-lessor transformation and goes like this: establish one’s brand as a finance broker, build customer and lender relationships, grow the business to the point where one can secure funding for the paper and become a lessor. One could say it’s a straightforward three-step process.
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