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  "documentTitle": "Making finance the predictive powerhouse How to create an agile finance function",
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      "text": "Just 4% of finance teams use machine learning or artificial intelligence (AI) to get more value from data, but 88% of finance executives believe that AI will help increase the accuracy and predictability of forecasts",
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      "text": "The fact that FP&A teams spend so much time on tactical and labor-intensive production tasks is another reason that continuous accounting is a critical enabler. It takes so long to reconcile data and then prepare it for analysis that it’s often outdated before any analysis begins. And the more delays there are, the more the value of insights deteriorates. Just 4% of finance teams use machine learning or artificial intelligence (AI) to get more value from data, but 88% of finance executives believe that AI will help increase the accuracy and predictability of forecasts (Figure 2). However, they face significant adoption roadblocks: belief that automation has risk, lack of funding, and reliance on legacy IT and spreadsheets. Fear is also holding FP&A teams back from adopting AI—fear of the unknown, fear that the numbers cannot be easily manipulated and fear that AI will replace humans, instead of augmenting them.",
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      "text": "Source: Accenture State of FP&A Pulse Survey, January 2022, Total Sample N=550",
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