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FP&A Today

Daniel Sousa-Lennox: How Microsoft is using AI to win at forecasts and help their FP&A team

Oct 17, 2023
Daniel Sousa-Lennox, a data scientist at Microsoft, discusses how the company uses AI for accurate forecasts. They developed FINN, an AI finance tool that has achieved 99% accuracy in revenue forecasting for an Azure product. Sousa-Lennox emphasizes that while AI isn't magic, it has transformed financial forecasting at Microsoft. FINN provides access to 25+ models, reducing forecasting time significantly. The podcast also covers building flexible budget models, improving forecasts with machine learning, the role of AI in data analysis and forecasting, and the curiosity about meeting historical figures like Leonardo da Vinci.
45:51

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Quick takeaways

  • Using AI finance tools like FINN, Microsoft's finance team has achieved 99% accuracy in forecasting revenue for Azure products.
  • Finance professionals need to embrace technology like generative AI to streamline manual tasks and focus on analysis and insights.

Deep dives

Automating Forecasting with Machine Learning: A Game Changer for FP&A

One of the major challenges faced by finance professionals in the FP&A field is the time-consuming nature of budgeting and forecasting processes. Daniel Sousa-Lennox, a software engineer at Microsoft, shared his experience in using machine learning to automate these processes. By leveraging tools like Finn, a standardized modeling framework, finance professionals can produce machine learning forecasts without the need for coding or technical expertise. These tools handle data pre-processing, feature engineering, model selection, and future forecasting. This automation not only saves time but also increases accuracy, allowing finance teams to focus more on analysis and insights rather than manual tasks. The key takeaway is that finance professionals need to embrace the creative aspects of their role and leverage technology like generative AI to improve productivity and decision-making.

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