Ubiquitous Computing: the great bet for the exchange of information

Go deeper into our core business & our expertises through our articles written by our experts

Outlier detection in production — Part 1

Outlier detection in production — Part 1

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.

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ESG rating: Current methodologies and the challenges

ESG rating: Current methodologies and the challenges

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.

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Can ESG-Disclosure avoid information asymmetry?

Can ESG-Disclosure avoid information asymmetry?

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.

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