ESG scoreing is revolutionizing the industry. ESG Analytics excels in this area, offering cutting-edge data and insights. This article will explore the groundbreaking methods of ESG Analytics in the realm of ESG scoring.

ESG investing, having fallen from the grace of its promise to save the World, is currently undergoing major transformations. The hype of the potential of existing ESG funds to bring higher positive impact to the World was put to the test and its failure to deliver, brought the focus to the question on what should be done to deliver results. Yet, results depend on a variety of factors, some of which are beyond the control of the asset managers, such as wider availability of quality data and metrics, which can ensure that ESG assets are those truly aligned with global transition goals.

The world of ESG analysis has witnessed significant transformation over the years. From traditional methods reliant on company disclosures to modern AI-driven techniques, the landscape has evolved to offer deeper and more comprehensive insights. This article delves into the journey of ESG analysis, comparing traditional methods with the potential of AI-driven approaches.

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.