Artificial intelligence has become a buzzword in recent years, often thrown around in various contexts without a clear understanding of its true meaning. This article aims to help you understand AI, breaking it down into its core components and highlighting its relevance in the world of ESG analysis.

In a recent enlightening webinar, the world of Environmental, Social, and Governance (ESG) analysis was brought to the forefront, emphasizing the transformative potential of Artificial Intelligence (AI). Here's a detailed look at the key takeaways from the session.

The world of ESG analysis is rapidly evolving, and one of the driving forces behind this change is the rise of alternative data. Unlike traditional data sources, which primarily rely on company disclosures, alternative data encompasses a broader range of information sources.

This blog post delves into the importance of Environmental, Social, and Governance (ESG) factors in contemporary business operations and investment decisions. It introduces ESG Analytics, a data provider that employs sentiment-based analytics to evaluate company performance from an ESG perspective. The post explains how ESG Analytics uses natural language processing and machine learning algorithms to analyze data from various sources, offering a more holistic view of a company's performance beyond traditional financial metrics. This comprehensive understanding aids investors in making informed decisions and helps companies identify areas for improvement in their ESG performance. The post concludes by emphasizing the growing significance of ESG Analytics in addressing ESG risks and opportunities as ESG concerns continue to rise in importance.