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

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Manage episode 380075742 series 3351980
Content provided by Glenn Hopper. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Glenn Hopper or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

How is Microsoft using AI to reach up to 99% accuracy in some forecasts? In this episode of FP&A Today, Daniel Sousa-Lennox, a data scientist at Microsoft with deep experience of financial analysis, reveals all.

The Microsoft’s finance team – about 5000 people – saw its first foray into machine learning in forecasting. The team developed FINN (or Microsoft Finance Time Series Forecasting Framework) says Sousa-Lennox who sits within the finance organization, providing software engineering and data science expertise. Using machine learning and creating AI finance tools (such as FINN which has been open-sourced) Sousa-Lennox says the Microsoft finance team has replaced burdensome forecasting and Excel heavy lifting. "The tool has helped, for instance, this one team in terms of accuracy to get the revenue that they were trying to forecast for an Azure product (the cloud computing platform run by Microsoft) to 99% accuracy". But Sousa-Lennox adds that it is important to remember that AI is not "magic" and "wont lead to 99% in every single forecast" and the quality of data is paramount.

Nevertheless the results are transforming financial forecasting at the $2trillion company.

FINN alone provides access to 25+ models supporting Microsoft’s daily, weekly, monthly, quarterly, and yearly forecasts, transforming the approach of FP&A.

Sousa-Lennox says: “It takes on average for a forecast used run using our tool, it takes about an hour to an hour and a half, which is significantly less than a week [previously]. It is also an hour and a half where you don’t have to be actively doing anything.”

In this episode Daniel Sousa-Lennox shares:

  • Similarities and differences between FP&A in US and Panama (and banking vs Microsoft)
  • Getting an internship to full-time career at Microsoft
  • How he trained in Data science and technology
  • How to evangelize finance teams into adopting AI
  • How Microsoft is transforming its forecasting and FP&A
  • Despite its success why AI is not a “magic bullet” for finance
  • The two most powerful lessons in presenting AI to finance teams
  • The biggest advice for anyone starting in FP&A
  • Last thing finance thing I Googled ChatGPT’d
  • My favorite Excel function

Links

Follow Daniel Sousa-Lennox: https://www.linkedin.com/in/dsousalennox/

FINN (Open-sourced by Microsoft): https://microsoft.github.io/finnts/

  continue reading

102 episodes

Artwork
iconShare
 
Manage episode 380075742 series 3351980
Content provided by Glenn Hopper. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Glenn Hopper or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

How is Microsoft using AI to reach up to 99% accuracy in some forecasts? In this episode of FP&A Today, Daniel Sousa-Lennox, a data scientist at Microsoft with deep experience of financial analysis, reveals all.

The Microsoft’s finance team – about 5000 people – saw its first foray into machine learning in forecasting. The team developed FINN (or Microsoft Finance Time Series Forecasting Framework) says Sousa-Lennox who sits within the finance organization, providing software engineering and data science expertise. Using machine learning and creating AI finance tools (such as FINN which has been open-sourced) Sousa-Lennox says the Microsoft finance team has replaced burdensome forecasting and Excel heavy lifting. "The tool has helped, for instance, this one team in terms of accuracy to get the revenue that they were trying to forecast for an Azure product (the cloud computing platform run by Microsoft) to 99% accuracy". But Sousa-Lennox adds that it is important to remember that AI is not "magic" and "wont lead to 99% in every single forecast" and the quality of data is paramount.

Nevertheless the results are transforming financial forecasting at the $2trillion company.

FINN alone provides access to 25+ models supporting Microsoft’s daily, weekly, monthly, quarterly, and yearly forecasts, transforming the approach of FP&A.

Sousa-Lennox says: “It takes on average for a forecast used run using our tool, it takes about an hour to an hour and a half, which is significantly less than a week [previously]. It is also an hour and a half where you don’t have to be actively doing anything.”

In this episode Daniel Sousa-Lennox shares:

  • Similarities and differences between FP&A in US and Panama (and banking vs Microsoft)
  • Getting an internship to full-time career at Microsoft
  • How he trained in Data science and technology
  • How to evangelize finance teams into adopting AI
  • How Microsoft is transforming its forecasting and FP&A
  • Despite its success why AI is not a “magic bullet” for finance
  • The two most powerful lessons in presenting AI to finance teams
  • The biggest advice for anyone starting in FP&A
  • Last thing finance thing I Googled ChatGPT’d
  • My favorite Excel function

Links

Follow Daniel Sousa-Lennox: https://www.linkedin.com/in/dsousalennox/

FINN (Open-sourced by Microsoft): https://microsoft.github.io/finnts/

  continue reading

102 episodes

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