Alternative data and innovation (AI and machine learning) - ESG Data Part 2

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Responsible Investor

About this talk

Responsible Investor's 4-part webinar series "ESG data: mind the gap" brings together the different perspectives of corporates, investors and actors on differing views and challenges, exploring the existing gaps, solutions and offering best practice examples. This second webinar of the four-part series will focus on defining alternative ESG data from a corporate perspective, the potential impact on company valuations of such data, and how this data may be used by investors to identify risks and opportunities. Speakers: Truvalue Labs - Thomas Kuh, Head of Index Brunel Pensions - Helen Price, Assistant Investment Officer, Brunel Pension Partnership Ltd Moderator: Helen Wood-Gush, Senior ESG Consultant, Responsible Investor Questions for discussion may include: - What is alternative data, where does it come from, and how is used in ESG ratings and indices? - Has the big data revolution allowed investors to become less reliant on voluntary corporate disclosures? - What challenges does the use of big data by investors pose to corporate disclosure requirements and practices? - What is the process for identifying the relevant signals to achieve better investment objectives? - How can companies participate in the alternative/big data conversation with investors? - How can the data that companies generate add value to the pool of “alternative/big data” used in market valuation? - What additional types of data should companies be seeking to generate? - What types of technological solutions, processes and platforms can corporations and investors use to help ensure financially material qualitative S and G data is appropriately considered in relation to the market valuation of companies?
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