Articles by Scott Nelson
Everyone has their own methods of predicting customer behavior. That’s the goal. Like tournament seeds, credit scores reflect past performance and provide insight over the long term that will be statistically relevant. But just like every game has new circumstances and the opportunity for special efforts by players and coaches, every business year has a plethora of new opportunities, constraints, and circumstances that might change how a business performs and behaves. Extra data sources help make better predictions.
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Transformation to becoming a “digital business” may be a tired topic, but how many finance companies can actually claim success? Indeed, how many business leaders have a definition of success for digital transformation much less have communicated it companywide?
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Automation has been a principal pursuit of business ever since Henry Ford implemented the first assembly line in 1913 and reduced the Model T assembly time from 12 hours to 93 minutes. Twenty-five years later, during World War II, increased demand for military equipment brought mechanization to production lines enabling higher speeds, fewer errors and more efficient use of raw materials.
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I asked Professor Manjeet Rege, Chair of Software and Data Science at the University of St. Thomas, about the emergence of AI as a modern technology and its practical application in both industry-at-large and the finance ecosystem specifically.
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I had a great experience at the 2021 ELFA Annual Convention in San Antonio. One part of that great experience was learning more about what others were doing across the equipment finance ecosystem. As a technologist and thought leader, I am always on the lookout for ways that others are changing the business or changing the way they use technology to improve their business.
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Given that this was my first ELFA Convention as a member of the industry, I thought I would make note of some of my first impressions and comparisons to the technical conferences with which I have been more familiar.
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