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Best in Class Data for Sustainable Finance: The case for LLMs (Large Language Models) and Knowledge Graphs

27 June, 11:50 AM

In recent years Sustainable Finance has rapidly gained traction, with an estimated over $30 trillion now to be invested in sustainable funds globally. 

Paired with growing investor interest regulators have started to pay increasing attention to the risk of greenwashing. Regulations on fund labelling, mandatory disclosure, supply chain due diligence and other requirements can have a material financial impact.

Factors at work:

  • A fast-paced voluntary standards landscape with growing interest in climate change.
  • Increasing demands for nature and biodiversity disclosures by the Taskforce for Nature Related Financial Disclosures (TNFD).
  • The importance for financial institutions of being able to analyse a wide variety of data sources in a cost-effective manner.

James Phare shares Neural Alpha's experience working with many of the world's largest financial institutions to leverage a wide variety of environmental sustainability data, including: disclosures, supply chains and spatial and physical assets.  The emphasis is the unique role Knowledge Graphs, Taxonomies, LLMs and Semantic Technologies play in the work.