Putting ESG performance into sharper focus

We look at how we can attain our ESG goals with clarity and confidence through the ESG lens.

In the past decade, sustainability has become more than just a buzzword among environmentalists – it’s now a critical mandate for businesses with trillions of dollars of investments on the line. However, developing metrics to track the success of green investments has proven to be extremely difficult.

An innovative approach to using ESG data and technologies such as artificial intelligence (AI), natural language processing (NLP), and machine learning is needed to bring rigor to the management of ESG data. This approach can be further enhanced by the creation of various lenses or versions of the NLP technology and sentiment engine that are tuned to focus on specific purposes such as tracking ambition through action.

Read our point of view to learn how financial services organizations can:

• Utilize both structured and unstructured data to compare ESG pledges to actual actions and progress.
• Develop ESG lenses including greenwashing identification, media bias detection, regulatory readiness, and more for comprehensive insights.
• Improve overall ESG decision-making in investing, funding, and underwriting to meet the growing demand for ESG-related investments and products.