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?


Peter Cripps

Editor, Environmental Finance

Jean-Jacques Barberis

Head of Institutional and Corporate Clients Division, Amundi

Atiyah Curmally

Principal Environmental Specialist, IFC

Tegwen Le Berthe

Head of ESG Scoring and Methodology, Amundi

Libby Bernick

CEO, Impact Cubed

Luba Protopopova

Executive Vice President, Products and Strategy, RepRisk

Eric Van Nostrand

Head of Research for Multi-Asset Strategies & Sustainable Investments, BlackRock

Date: Wednesday 26 May 2021- 3pm BST/10am EDT

If you are interested in this webinar you can register here.

Watch now on-demand »