Capgemini-更加关注ESG的性能（英）-2023-9页_1mb

报告摘要

ESG investing has grown from $5 billion in 2012 to $541 billion, expected to account for 15% of all investments by 2025.
ESG is not just a buzzword; it’s critical for guiding green investment decisions and assessing non-financial risks, especially in the financial services industry, where $130 trillion is committed to combating climate change and promoting green investing.

ESG metrics are unreliable due to inconsistent methodologies from different rating agencies, leading to significant variations in scores.
Greenwashing (inflated ESG claims) is a major issue, intentionally or unintentionally, weakening trust in ESG data.
Inconsistent data creates challenges for financial institutions in making informed investment decisions and complying with regulations, with only 52% of financial leaders believing ESG data supports investment choices.

Financial services companies should combine structured data from third-party ratings with unstructured data from sources like news, social media, and litigation documents.
AI and NLP-powered sentiment engines can analyze unstructured data to validate claims, detect greenwashing, and provide real-time insights into company performance.
These tools enable better risk assessment, predict ESG-related losses, fill data gaps, and ensure regulatory compliance.

Provides a comprehensive view of ESG performance to counter greenwashing and support investment decisions.
Applications include enhancing directors and officers insurance, improving underwriting, and accelerating time-to-insight for traders and fund managers.
Capgemini has collaborated with clients to build systems that integrate AI and NLP, helping organizations manage ESG data effectively.

The use of AI and NLP in ESG data management will empower financial services companies to meet evolving regulatory demands and make sustainable growth a reality.
By adopting this approach, organizations can enhance ESG performance transparency and trust.

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