Machine learning will allow you to get the most value out of your efforts to leverage your data in your newly automated back office. Statista reports that in 2017 more than 25% of companies that used machine learning solutions are continuing to commit more than 15% of their total annual IT budget to it. This also isn’t futuristic – like geolocating, it’s available now and increasingly affordable.
Credit unions that invest time and money into optimizing their existing systems, products, and services; further develop digital back offices; and utilize machine learning will have a great opportunity to improve both growth and income goals in 2020.
BRIAN HAMILTON is vice president of Innovation & Insights at Origence.
Hamilton has 27 years of experience with financial institutions, contact centers, and fintech start-ups. He has managed all facets of consumer lending operations and has led key initiatives in the development of groundbreaking online applications, remote delivery, custom scorecards, and loan origination systems. At Origence, he leads research efforts on emerging trends and product innovation, as well as their consulting services. Prior to his position with the company, Brian was vice president of lending at several of the largest credit unions in the United States; senior vice president at Placer Sierra Bancshares; and chief credit officer at BlueYield. Brian holds a Bachelor of Science in Management and an MBA in Digital Innovation and Information Systems from Pepperdine University.