Long video: Short video:   Team Name KPMG Austria Track Banking Use Case During the SAS Hackathon KPMG developed an algorithm to automatically identify ESG risks of companies worldwide by using Web Scraping, Machine Learning and Natural Language Processing. Every single company with an ISIN gets assigned an ESG score between 0 (min risk) and 1 (max risk).   This will help portfolio managers to identify green and brown companies. Further measures can then be evaluated as for example increase investment in green assets, decrease investment in brown assets, disclose important information for stakeholders, and define a Green Asset Ratio. Technology SAS, Python Region Austria Team lead Fabius Lenhart @Risk_Fabius  Team members @Risk_Richard  @Risk_Raffael  @Risk_Fabius  @RomanD  @13erger  @Risk_Dominik  @Sebastian_S  @Risk_Martijn    ... View more