The fourth AI/ML Committee Meeting was held on the 20^th of March, 2019. The agenda focused on integrating Machine Learning (ML) in forecasting and its potential impact on performance improvement. The event began with an introduction to set the stage for the discussions ahead.

The first presentation, titled "Baby steps towards implementing ML for forecasting", was delivered by Asif Khan, the Global FP&A Lead at PayU, based in Amsterdam, Netherlands. Asif shared insights and experiences on the initial steps to incorporate ML techniques into forecasting processes. To listen to the PayU case study, please, follow this link.

The second presentation, "FP&A teams driving performance change with AI", was presented by Xavier Fernandes, the Analytics Director at Metapraxis, located in London, United Kingdom. Xavier delved into the role of AI-powered solutions in empowering FP&A teams to drive performance improvements and discuss real-life examples. To listen to the presentation from Xavier Fernandes, please, follow this link.

The event concluded with a summary of key takeaways and next steps, providing attendees with a clear understanding of how AI/ML could be leveraged for forecasting and performance enhancement.