{"title":"政策论坛:技术与不断发展的劳动力","authors":"Susie Cooke, A. Sui","doi":"10.32721/ctj.2022.70.2.pf.cooke","DOIUrl":null,"url":null,"abstract":"Globally, we are seeing record numbers of people leaving their jobs and in many cases making significant career changes. In tax, this is resulting in a shrinking talent pool, making it even harder to find people with the necessary skills to fill these gaps. At the same time, the requirements and demands imposed on tax professionals are increasing and expanding. In this article, the authors look at how tax technologists and technological solutions such as machine learning can help.","PeriodicalId":375948,"journal":{"name":"Canadian Tax Journal/Revue fiscale canadienne","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Policy Forum: Technology and the Evolving Workforce\",\"authors\":\"Susie Cooke, A. Sui\",\"doi\":\"10.32721/ctj.2022.70.2.pf.cooke\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Globally, we are seeing record numbers of people leaving their jobs and in many cases making significant career changes. In tax, this is resulting in a shrinking talent pool, making it even harder to find people with the necessary skills to fill these gaps. At the same time, the requirements and demands imposed on tax professionals are increasing and expanding. In this article, the authors look at how tax technologists and technological solutions such as machine learning can help.\",\"PeriodicalId\":375948,\"journal\":{\"name\":\"Canadian Tax Journal/Revue fiscale canadienne\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Canadian Tax Journal/Revue fiscale canadienne\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32721/ctj.2022.70.2.pf.cooke\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Tax Journal/Revue fiscale canadienne","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32721/ctj.2022.70.2.pf.cooke","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Policy Forum: Technology and the Evolving Workforce
Globally, we are seeing record numbers of people leaving their jobs and in many cases making significant career changes. In tax, this is resulting in a shrinking talent pool, making it even harder to find people with the necessary skills to fill these gaps. At the same time, the requirements and demands imposed on tax professionals are increasing and expanding. In this article, the authors look at how tax technologists and technological solutions such as machine learning can help.