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Big data revolution – Conventional ESG data and ratings ‘not sufficient’

by Funds Europe
23 September 2022
Marion Leslie, Sibos
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Marion Leslie, head financial information, SIX Group, explains that conventional ESG data and ratings are ‘not sufficient’. 

As part of its coverage of Sibos 2022 in Amsterdam, Funds Europe has reached out to financial experts on key topics at the conference. Read more analysis here. 

Artificial intelligence and machine learning, computational strengthening, and increased global connectivity are driving what many are calling the “big data revolution”. What is the big data revolution’s impact on ESG?

“Nowadays, the importance of ESG data cannot be underestimated.

Conventional ESG data and ratings are simply not sufficient to assess systemic risks and challenges and to provide a real-time lens or even a forward-looking perspective e.g., commonly required for climate risk and scenario analysis.

Artificial intelligence (AI ) and machine learning (ML) technology can help to derive further and deeper insights from big, unstructured data and to address some of the inherent information asymmetries.”

Sibos 2022: In Focus

© 2022 funds europe

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