The boom in environmental, social and governance (ESG) investing continues, and with it comes an increasing call from investors for financially material ESG data to be available so that investors can assess risks and make investment decisions. Advances in artificial intelligence (AI) technology have the potential to help investors to collect and aggregate ESG data more effectively. This could be particularly transformative in emerging markets where such data is scarce. This webinar will look at how investors are approaching such technologies and consider the opportunities for ESG data collection in emerging markets.
Key areas of discussion
How can artificial intelligence (AI) allow investors to collect environmental, social, and governance (ESG) data and analyse ESG risks and opportunities?
How can such technologies filter data? Which tasks can be automated?
How are the parameters of such programmes set and what information sources are available?
Term-busting: sentiment analysis, natural language processing and deep learning – what are they and how can they be applied to ESG investing?