Takeshi Murakami, Group Controller at Microsoft, shares an interesting case study on leveraging AI/ML in decision-making. Microsoft Finance enhanced forecast accuracy by using ML instead of the traditional bottom-up process.

FP&A teams are using AI to drive step changes in business performance, pushing their influence beyond their traditional areas of analyses.

As financial professionals we Financial Planning and Analysis (FP&A) professionals spend a lot of timing learning - learning the basics of accounting and finance, learning the business and learning about the impacts business decisions have on budgets and forecasts.

On 21st May 2019, 35 senior finance professionals gathered in the heart of Geneva for discussing “Power of FP&A Predictive Analytics”. Two days later there was a Zurich FP&A Board meeting which was devoted to the same subject.

The pressure of globalization and agile decision-making requires companies to improve their business modeling.  They must integrate big data in real-time, synthesize that data to identify causal relationships and value-drivers, and ultimately use the findings to make high-impact business decisions.

Paris FP&A Board Feedback Form - 4 February 2025

We are always working towards improving the quality of the FP&A Board meetings and would value your feedback.

Please answer the questions below:

Most large and medium-size companies are within ecosystems with increasing complexity and evolutions speed. Globalisation, regulations, technological changes, competitor moves, innovations, customer demands change and few others are the source of this increase in complexity and change speed.

The Launch of the Paris FP&A Board took place on 28 May 2019. The first discussion was traditionally devoted to the Latest Trends in modern FP&A.

The second Copenhagen FP&A Board will take place on the 29th October 2019 to debate the popular subject of Rolling Forecast.

The second Paris FP&A Board will take place on the 17th October 2019 to debate the popular subject of Rolling Forecast.