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Deploying a Machine Learning (ML) system in production is highly demanded in modern business initiatives. This series of articles provides a big picture of how to successfully build such a process. Our use-case is outlier detection, one of the oldest techniques in ML. It is also among the most used ML applications in the enterprise world.
ESG (Environment, Social and Governance) measurement emerges as one of the hot topic recently as the increasing interest to investment professionals globally. The assessment given by ESG rating provides information to market participants about the quality of a company’s ESG performance. Then, investors rely on this information to make investment decisions. In this trend, several companies recently have introduced rating service, as well as provided ESG score of certain firms. Our purpose is to clarify how ratings are determined by different providers, as well as the obstacle to achieving a reliable assessment.
ESG is currently a hot topic, very hot indeed. Awareness, regulation, and economical returns are clearly shifting perspectives…. However, ESG management requires a lot more information to ensure relevant actions, as indeed management comes with measurement. As such, authorities have enhanced companies’ disclosure requirements. Although the primary objective of mandatory ESG disclosure rules are to improve the supply of ESG information, it is not clear that these regulations actually improve the ESG information environment.
QUANT AI Lab keeps on growing and expanding to new markets. In March additional experts joined our team to support and complement QUANT´s Data Scientists who have been working at Repsol's Dato Hub since December. Through an analysis of the company’s databases, our...
Machine Learning and Artificial Intelligence,algorithms, Big Data and data analysis are on the rise. Every day, more companies are opting to try to obtain information and insights from the data they have stored, or are starting to store. Data that was forgotten in...