Agenda

1. The Committee: its mission and rules

2. Live Survey-on AI

3. AI/ML: Some concepts and definitions

• Business Case –Research Study on AI/ML in FP&A - Irina Steenbeek
• AI/ML in Finance: Vision - Igor Panivko(5 min)
• Stefan Spiegel - a quick overview of the AI project in SBB Cargo
• Matthijs Schot - a quick overview of ML Driver-based planning project in the Maersk Group

4. Conclusions

Agenda

1. Case studies

• How Artificial Intelligence could replace old-school Management Accounting. Stefan Spiegel, CFO at Swiss Railway Freight Logistics (SBB Cargo AG)
• Artificial Intelligence – Lessons from other Industries and potential applications to Financial Planning. Saurabh Jain, VP Business Performance Controlling at Siemens Healthcare

2. Open discussion on AI / ML questions

3. Conclusions and next steps

Agenda

1. Presentations

• The Future of FP&A: Incorporating AI into the Financial Forecasting process. Xena Ugrinsky, Principal and Founder at GenreX (New York, USA)
• Modern Finance. Leveraging AI/Machine Learning in Decision Making. Takeshi Murakami, Group Controller at Microsoft (Tokyo, Japan)

2. Open discussion on AI / ML questions

3. Conclusions and next steps

Agenda

1. Presentations

• Baby steps towards implementing ML for forecasting. Asif Khan, Global FP&A Lead at PayU (Amsterdam, Netherlands)
• FP&A teams driving performance change with AI. Xavier Fernandes, Analytics Director at Metapraxis (London, United Kingdom)

2. Open discussion on AI / ML questions

3. Conclusions and next steps

Agenda

1. Presentations

• "Dynamic and Interactive Sales Planning Based on the Algorithmic Model" by Igor Panivko, CFO Konika Minolta (Ukraine)
• "Machine Learning for better results in FP&A" by Kevin McConnell, Intelligent Technologies Solution Strategy at SAP (USA)

2. Open discussion on AI / ML questions

3. Conclusions and next steps

Agenda

1. Presentations

• "Challenges with implementing AI prototypes" by Tanja Schlesinger, VP Business Intelligence OneSource at DB Regio AG (Germany)
• Egencia case study on AI/ML by Saul Mateos, Sr. FP&A Director at Expedia (USA)

2. Open discussion on AI / ML questions

3. Conclusions and next steps

Agenda

1. Introduction

2. General Discussion: suggestions about future meetings and reflection on the previous ones

3. Conclusion

Agenda

1. Introduction

2. Case Study: “How to use AI to create a forward looking planning framework?” by Frederic Peeters, VP Finance, Steel Wire Solutions at Bekaert (Brussels, Belgium)

3. Q&A Session

4. Conclusions

Agenda

1. Introduction

2. A case on Supply Chain to show use of AI-enabled capabilities. Presented by Larry Maisel (New York, USA), thought leader, seasoned business executive and author

3. Q&A Session

4. Conclusions

Agenda

1. Introduction

2. A case on using AI/ML and automation tools for digital transformation at Sandoz. Presented by Flavio Caruso, Chief Financial Officer Cluster I Europe at Sandoz

3. Q&A Session

4. Conclusions

Agenda

1. Introduction

2. Redefine our vision

3. How can we can keep learning from AI and ML in FP&A

4. Roles on the Committee

5. Wrap up, next steps and close

Agenda

1. Introduction

2. A Practitioner Vision and Experience on Digital FP&A. Presented by Vignesh Dumonceau, Chief Financial Officer at Flex Switzerland

3. Q&A Session

4. Conclusion and Next Steps

Agenda

1. Introduction

2. IP landscape analysis for AI/ML in FP&A. Presented by Paulo de Souza, Professor and Head of School of Information and Communication Technology at Griffith University

3. Q&A Session

4. Conclusion and Next Steps

Agenda

1. Introduction

2. Then and Now: Examples of Machine Learning Potential Presented by Tom Byrne, Managing Director at T&B Software Solutions

3. Q&A Session

4. Conclusion and Next Steps