2022-10-10-Gartner-4_AI_Implementation_Lessons_from_Leading_Organizations_8页_695kb
报告摘要
AI Implementation Lessons for Finance Leaders
From Gartner's survey on leading AI finance organizations, the key lessons for CFOs to successfully implement AI are:
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Hire External AI Talent: Organizations that prioritize hiring external AI-skilled staff are more likely to scale AI faster and overcome learning curves, with 32% of leading organizations primarily using outside talent.
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Purchase AI-Enabled Technology: Acquiring software with embedded AI capabilities leads to greater impact by enabling easier experimentation and broader application to finance use cases, compared to in-house development, where 84% of leading organizations do so versus 42% of others.
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Experiment Early and Broadly: Deploying AI with early and broad pilot programs increases the average number of AI use cases from four to seven after 12 months, facilitating faster adoption of new AI applications and outcomes.
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Choose an AI Implementation Leader: Selecting leaders with strong analytical and data backgrounds, such as the Head of FP&A or Head of Finance Analytics (used by 45% and 35% of leading organizations respectively), is crucial for success. In contrast, roles like Controller are less effective, with organizations choosing non-leadership finance roles less likely to achieve leadership status.
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