EU Taxonomy: Quant and AI-based solutions

Presented by

Responsible Investor in partnership with Clarity AI

About this talk

The Sustainable Finance Disclosure Regulation and EU Taxonomy are concepts that are already revolutionising institutional investment. However, despite the regulations bringing forward an incredible shift in the industry, they come with practical challenges. The role of AI and machine learning is to help investors navigate the complexity of this sweeping initiative. Featuring speakers from Clarity AI, Pictet Asset Services as well as Allfunds, who will share their expertise in supporting financial services firms: Patricia Pina, Head of Product Research & Innovation at Clarity AI Sergio Venti, Head of Client Solutions and Innovation at Pictet Asset Services Julián De La Cuesta, Senior Product Specialist at Allfunds This webinar will dive deeper into industry challenges asset managers are facing surrounding EU Taxonomy and regulation, as well as how Data Science and Machine Learning is used in reporting. It is the third part of a webinar series with Clarity AI. In Part One of the series, “EU Sustainable Finance: Filling the gaps in SFDR & EU Taxonomy Reporting”, we aimed to fill the gaps and answer questions related to greenwashing, data overload, and costs of implementation. Part Two, “EU Sustainable Finance: Quant and AI-based solutions to SFDR”, addressed the hidden challenges investment and wealth managers are experiencing in regards to SFDR, as well as kickstarting the conversation on how AI fits into the big picture, and what solutions it offers in order to help navigate investors through regulatory uncertainty. Moderated by Mina Tümay, Strategic Content Associate, Responsible Investor

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