Federal agencies are struggling to implement artificial intelligence (AI) due to several significant challenges. Data access and quality are major hurdles, with agencies struggling to update outdated storage methods and ensure data is readily available for AI training. Talent shortages are another issue, with agencies lacking sufficient AI expertise and experiencing employee reluctance to embrace the technology. Limited funding further compounds these challenges, making it difficult for agencies to invest in necessary infrastructure, training, and research.

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