Finance leaders recognize the importance of data and analytics for AI integration, yet lag behind in utilizing AI technologies. Clean, well-organized data is crucial for adopting AI and automation. Challenges include aligning technology with evolving regulations, talent expectations, and ensuring data quality. Organizations must navigate data governance, cybersecurity, and skill gaps to leverage AI effectively. Emphasizing the need for a strong data foundation and talent development, finance executives are advised to experiment with AI while managing risks and investing in skills for future readiness.

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