SFDR: Quant and AI-based solutions

The Sustainable Finance Disclosure Regulation is already revolutionising institutional investment. However, despite the regulation bringing forward an incredible shift in the industry, it comes with practical challenges. The role of AI and machine learning is to help investors navigate the complexity of this sweeping initiative, as Investors expect to rely on estimates to comply with SFDR due to a lack of data. There is also a general lack of understanding when it comes to the methodologies surrounding reporting the Principal Adverse Impacts of portfolios. As well as addressing the hidden challenges investment and wealth managers are experiencing, this session will explain how AI fits into the big picture, and what solutions it offers in order to help navigate investors through regulatory uncertainty. Key topics include: - How to Close the Reporting Gap: SFDR requires investors to disclose the sustainable impact of their investments. We explain where to start. - Understand Estimations: The only solution to expand the coverage and comply successfully. What is the process and how reliable is AI? - Cut Through the Data Noise: Building sustainable portfolios requires high-quality metrics. How do investors find the right information to make better decisions?