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Strategic Use of AI in Finance: Overcoming Challenges and Realizing Potential

Read the study to find out how you can use AI to optimize the automation and planning accuracy of your finance department!

This study explores the following questions

  • Do companies have an overall AI strategy and how is it aligned with finance?
  • What are the things preventing companies from getting value from AI?
  • What challenges do companies expect AI to solve within planning and forecasting?

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Pietro Grammatico, Director Service Management BI, Vorwerk

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Further information

AI is a key technology that helps companies work more efficiently, make informed decisions, and address challenges in finance. However, more than one-third of organizations lack a clear AI strategy, particularly in finance and controlling. A shortage of resources and expertise remains a major obstacle to unlocking AI’s full potential.

This BARC study explores the current state of AI adoption in finance, highlighting key challenges and opportunities. It emphasizes the role of predictive analytics and machine learning in automating manual processes, enhancing forecasting accuracy, and driving long-term competitive advantages. The insights provided help organizations strategically implement AI to maximize efficiency and business impact.

The study is based on a worldwide online survey of 163 respondents.

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