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Financial institutions are eager to adopt AI for analytics but often overlook the necessary infrastructure and data quality improvements required for successful implementation. Many fail to realize that AI needs ongoing management and compliance considerations, leading to costly mistakes. Successful AI adoption in finance focuses on specific outcomes, gradual scaling, and investing in talent development to bridge the gap between business and technology.