ESG compliance is one of the key topics not only for regulators within the banking sector, but also spans all industries. It is not an optional extra or 'nice-to-have' detail in a company's public filings and announcements. Investors look closely at how companies can mitigate risk, operate smoothly and create long-term value before making investment decisions.
As with the majority of compliance programmes, artificial intelligence plays a critical role in providing insight into the huge volume of ESG data, making it an invaluable ally to help interpret the relevant data and information.
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With the pressure increasing on banks and financial organisations to live up to environmental, social and governance (ESG) principles, a major challenge is determining which criteria to use when measuring the value of ESG. One solution is to utilise AI enables them to search and ingest large volumes of data.
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