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      'Why finance should lead the adoption of generative AI'

      The finance function is a good starting point for implementing generative AI. The pioneering approach optimizes intricate financial strategies and decision-making processes, enhancing efficiency, accuracy, and adaptability in the dynamic world of finance. Some possible use cases include:

      • Developing forecasts and budgets with generative AI
      • Generating AI-produced financial commentary and presentations
      • Gathering market intelligence using a large language model
      • Producing strategic insights from data
      • Managing contracts with help from an AI tool
      • Detecting anomalies/fraud protection with generative AI

      However, it's crucial to acknowledge hurdles such as security, reliability, safeguarding intellectual property, and understanding outcomes. Successfully adopting generative AI requires a balanced approach that combines urgency and risk awareness. 

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      Read the paper 'Why finance should lead the adoption of generative AI'

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      KPMG in the Netherlands

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      KPMG in the Netherlands

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