CUSO offers program to help credit unions leverage generative AI to streamline internal processes, increase efficiencies
Member Driven Technologies (MDT), a CUSO that hosts the Symitar core processing system from Jack Henry™ to provide a private cloud alternative for core processing and IT needs, today announced the launch of its AI Bootcamp, a 10-week program that helps credit union clients establish a generative AI strategy and use cases within their organizations.
Through the program, AI experts at MDT will lead weekly meetings with a selected team at the credit union, exploring how the technology could support the credit union’s unique strategic goals, improve operational efficiencies and enhance member services. MDT will provide educational resources and sample policies, collaborate on ideas, oversee a credit union proof of concept team, help build use cases, and then, at the end of the program, provide ROI data and a board-ready report.
“Generative AI has the potential to radically transform the way businesses operate, and if credit unions fail to form a strategy and experiment with how to best leverage it now, they risk falling behind,” said Tracie Loudermilk, VP of Project Management & Consulting Solutions at MDT. “However, many credit unions simply don’t know where to start. That’s why we have created this unique program, providing the support and guidance credit unions need to gather relevant information, explore possibilities and then take action.”
“The rise of generative AI continues to supercharge technology’s speed and impact. But, many credit unions are already stretched thin; many simply don’t have the time or in-house expertise to research, evaluate and strategically implement this technology on their own,” said Larry Nichols, CEO and President of MDT. “By launching our AI Bootcamp, we are empowering credit unions with the expertise and resources to embrace generative AI in the best way for their individual institutions, ultimately streamlining processes, boosting efficiencies and driving innovation.”
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