{"title":"Artificial Intelligence Applied","authors":"G. Ronsivalle, A. Boldi","doi":"10.4018/978-1-5225-6261-0.CH006","DOIUrl":null,"url":null,"abstract":"The purpose of the chapter is to present some real applications of the most advanced information technologies in complex adaptive systems like for-profit companies and organizations. In particular, the authors present the application of machine learning and artificial intelligence to support some of the activities that are strategic for an effective management of human resources. The tools have been applied to analyze the professional profiles (competencies, skills, knowledge, and activities), to evaluate the candidates for hiring and selection, to assess the competences in order to obtain a certification, or to prove the results of a training course. For each project, the authors provide a description of 1) the context, 2) the problem, 3) the solution implemented, 4) an analysis of the advantages and the limits of the solution. All these cases offer quantitative and qualitative data to sustain the thesis: artificial intelligence is a tool that can help humans managing the complexity levels of the so-called Anthropocene era we live in.","PeriodicalId":257072,"journal":{"name":"Educational and Social Dimensions of Digital Transformation in Organizations","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Educational and Social Dimensions of Digital Transformation in Organizations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-5225-6261-0.CH006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The purpose of the chapter is to present some real applications of the most advanced information technologies in complex adaptive systems like for-profit companies and organizations. In particular, the authors present the application of machine learning and artificial intelligence to support some of the activities that are strategic for an effective management of human resources. The tools have been applied to analyze the professional profiles (competencies, skills, knowledge, and activities), to evaluate the candidates for hiring and selection, to assess the competences in order to obtain a certification, or to prove the results of a training course. For each project, the authors provide a description of 1) the context, 2) the problem, 3) the solution implemented, 4) an analysis of the advantages and the limits of the solution. All these cases offer quantitative and qualitative data to sustain the thesis: artificial intelligence is a tool that can help humans managing the complexity levels of the so-called Anthropocene era we live in.