Parikshit Vasisht, Sudhakar Ranjan, Rahul J. Jadhav, Prasanna R. Rasal, Nripesh Nrip
{"title":"Artificial Intelligence as a Driver of Industrial Competitiveness","authors":"Parikshit Vasisht, Sudhakar Ranjan, Rahul J. Jadhav, Prasanna R. Rasal, Nripesh Nrip","doi":"10.1109/SSTEPS57475.2022.00060","DOIUrl":null,"url":null,"abstract":"Beyond our wildest dreams, Artificial Intelligence (AI) is changing industrial growth as well as our mode of living. Numerous nations have started national AI programmes to promote the value and usefulness of AI in smart businesses. However, there are problems with the practical use of AI to address current manufacturing concerns that must be disregarded. Finding various applications that may deliver value and satisfy the rising market but also capital demands is now the largest issue. To provide a concise road map for the methodical development and integration of AI in industrial operations, a systematic framework termed as \"Industrial AI\" was presented along with its key enabling technologies. This paper provides a thorough review of the major enabling solutions for industrial AI throughout the manufacturing sector as a whole and how their systematic implementation will help create new opportunities for value creation and prevent issues from emerging yet.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSTEPS57475.2022.00060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Beyond our wildest dreams, Artificial Intelligence (AI) is changing industrial growth as well as our mode of living. Numerous nations have started national AI programmes to promote the value and usefulness of AI in smart businesses. However, there are problems with the practical use of AI to address current manufacturing concerns that must be disregarded. Finding various applications that may deliver value and satisfy the rising market but also capital demands is now the largest issue. To provide a concise road map for the methodical development and integration of AI in industrial operations, a systematic framework termed as "Industrial AI" was presented along with its key enabling technologies. This paper provides a thorough review of the major enabling solutions for industrial AI throughout the manufacturing sector as a whole and how their systematic implementation will help create new opportunities for value creation and prevent issues from emerging yet.