For CFOs, whether artificial intelligence (AI) and machine learning (ML) will play a role across enterprise planning processes is no longer a question. Today, the question instead focuses on how organizations plan to operationalize ML in ways that return optimal results and scale. The answer is where things get tricky.

Why?

Business agility is critical in the rapidly changing world of planning. To think fast and move first, organizations must overcome challenges spanning the need to rapidly grow business, accurately predict future demand, anticipate unforeseen market circumstances and more. The increasing volumes of data across the organization can make it difficult for decision-makers to zero in on the necessary data and extrapolate the proper insights to positively impact planning cycles and outcomes. To further exacerbate the problem, many advanced analytics processes and tools only leverage high-level historical data, forcing decision-makers to re-forecast from scratch as soon as unforeseeable market shifts hit. Those dynamics underscore why now is the time for Intelligent Finance.

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