{"id":206712,"date":"2026-01-26T14:44:00","date_gmt":"2026-01-26T19:44:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/01\/26\/uw-stout-students-from-three-universities-of-wisconsin-campuses-use-machine-learning-to-solve-problems-for-royal-credit-union\/"},"modified":"2026-01-26T14:50:16","modified_gmt":"2026-01-26T19:50:16","slug":"uw-stout-students-from-three-universities-of-wisconsin-campuses-use-machine-learning-to-solve-problems-for-royal-credit-union","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/01\/26\/uw-stout-students-from-three-universities-of-wisconsin-campuses-use-machine-learning-to-solve-problems-for-royal-credit-union\/","title":{"rendered":"UW-Stout: Students from three Universities of Wisconsin campuses use machine learning to solve problems for Royal Credit Union"},"content":{"rendered":"

UW-Stout: Students from three Universities of Wisconsin campuses use machine learning to solve problems for Royal Credit Union<\/a><\/p>\n

https:\/\/www.wispolitics.com\/2026\/uw-stout-students-from-three-universities-of-wisconsin-campuses-use-machine-learning-to-solve-problems-for-royal-credit-union\/<\/a><\/p>\n

Publish Date: 2026-01-26 14:44:00<\/a><\/p>\n

Source Domain: www.wispolitics.com<\/a><\/p>\n

Computer science students from UW-Stout, UWEC, UWRF exercise \u2018exceptional\u2019 AI acumen for leading financial institution<\/p>\n

Menomonie, Wis. \u2013 Computer science students from three Universities of Wisconsin campuses leveraged their knowledge of machine learning to address real-world questions for one of the state\u2019s largest credit unions in a unique internship program.<\/p>\n

Four students \u2014 two from UW-Stout, one from UW-Eau Claire and one from UW-River Falls \u2014 honed their professional skills through internships with Royal Credit Union\u2019s AI Innovation Lab last summer. The internship was a pilot program to help Royal implement machine learning, a subset of artificial intelligence in which algorithms are used to find patterns in data to make predictions without explicit programming.<\/p>\n

Chris Meyer, Royal\u2019s vice president of IT Innovation and Efficiency, said such partnerships with the Universities of Wisconsin provide \u201cimmeasurable\u201d value for the credit union, which serves 330,000 members in western Wisconsin and eastern Minnesota.<\/p>\n

\u201cThis particular program brought about an opportunity for us to try some new, innovative ideas without the risks of derailing existing strategic projects or core work that were going on with our existing teams,\u201d Meyer said.<\/p>\n

\u201cThe interns we worked with from UW-Stout, UW-River Falls and UW-Eau Claire absolutely exceeded our expectations,\u201d he continued. \u201cNot only did they bring exceptional skills immediately out of school into the workforce, but they brought a perspective that we don\u2019t always see \u2014 a younger perspective in how to approach some of the projects we\u2019re looking at.\u201d<\/p>\n

The student interns were Matthew Peplinski and Emmett Jaakkola of UW-Stout, Paige Keller of UW-Eau Claire, and Mariah Waslie of UW-River Falls.<\/p>\n

\u201cWe got to fully make our own data set, run all these machine learning models, analyze the results, present them, double check our own processes, and lay out a foundation for the…<\/p>\n

Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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