{"title":"在处理项目成本和风险时,项目管理应使用人工智能驱动的算法","authors":"Dag H Zeiner-Gundersen","doi":"10.54026/ctes/1010","DOIUrl":null,"url":null,"abstract":"costs, as function of project progress throughout the various development stages. This pertains to most project categories whether it is infrastructure development or the development of systems or product and services. Thus, much can be achieved by addressing such cost optimization and related risks early, with alternative paths and foresee cascade effects when executing individual project activities. Thereby avoiding accelerating costs and detrimental cascade effects.","PeriodicalId":371070,"journal":{"name":"Current Trends in Engineering Science (CTES)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Project Management Shall Use Artificial Intelligence (AI) Driven Algorithms When Addressing Project Costs and Risks\",\"authors\":\"Dag H Zeiner-Gundersen\",\"doi\":\"10.54026/ctes/1010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"costs, as function of project progress throughout the various development stages. This pertains to most project categories whether it is infrastructure development or the development of systems or product and services. Thus, much can be achieved by addressing such cost optimization and related risks early, with alternative paths and foresee cascade effects when executing individual project activities. Thereby avoiding accelerating costs and detrimental cascade effects.\",\"PeriodicalId\":371070,\"journal\":{\"name\":\"Current Trends in Engineering Science (CTES)\",\"volume\":\"171 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Trends in Engineering Science (CTES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54026/ctes/1010\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Trends in Engineering Science (CTES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54026/ctes/1010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Project Management Shall Use Artificial Intelligence (AI) Driven Algorithms When Addressing Project Costs and Risks
costs, as function of project progress throughout the various development stages. This pertains to most project categories whether it is infrastructure development or the development of systems or product and services. Thus, much can be achieved by addressing such cost optimization and related risks early, with alternative paths and foresee cascade effects when executing individual project activities. Thereby avoiding accelerating costs and detrimental cascade effects.