Kenyactuary

As environmental, social, and governance (ESG) factors continue to gain prominence in the corporate world where risk keeps on evolving, their role as a critical measure of sustainability risk is increasingly recognized.Data analytics and artificial intelligence have transformed how financial institutions approach ESG risk monitoring and reporting. By appreciating the power of these technologies, institutions can be able to dig deeper into their data, make more informed decisions, and improve the transparency and accuracy of their ESG reports. Data analytics and artificial intelligence enable financial institutions to process massive amounts of data from a variety of sources, such as internal systems, public databases, and social media platforms. This extensive data analysis enables a thorough assessment of ESG risks, resulting to valuable insights that would otherwise go unnoticed. Machine learning algorithms are critical in ESG risk monitoring created using softwares e.g R. These algo...