技术岗位流失中的管理挑战

Donna L. Ogle
{"title":"技术岗位流失中的管理挑战","authors":"Donna L. Ogle","doi":"10.1109/TEMSCON.2018.8488446","DOIUrl":null,"url":null,"abstract":"There is a concern that computer technology will replace jobs at a large rate within the near future. In the study of Big Data, a recurring theme comes through. There is a great deal of data available and there is a need to understand this data. Machine analytics can help organizations understand these numbers, and computers are learning from these large datasets. Because of this machine learning, computer technology will have the ability to “think”, i.e. artificial intelligence. An assumption frequently made is that this technology will take over many current jobs. Recently, there has been an immense amount of discussion on this topic in the media. But is it true? This paper will list some management challenges in this possible job transition.","PeriodicalId":346867,"journal":{"name":"2018 IEEE Technology and Engineering Management Conference (TEMSCON)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Management Challenges in Technological Job Loss\",\"authors\":\"Donna L. Ogle\",\"doi\":\"10.1109/TEMSCON.2018.8488446\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There is a concern that computer technology will replace jobs at a large rate within the near future. In the study of Big Data, a recurring theme comes through. There is a great deal of data available and there is a need to understand this data. Machine analytics can help organizations understand these numbers, and computers are learning from these large datasets. Because of this machine learning, computer technology will have the ability to “think”, i.e. artificial intelligence. An assumption frequently made is that this technology will take over many current jobs. Recently, there has been an immense amount of discussion on this topic in the media. But is it true? This paper will list some management challenges in this possible job transition.\",\"PeriodicalId\":346867,\"journal\":{\"name\":\"2018 IEEE Technology and Engineering Management Conference (TEMSCON)\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Technology and Engineering Management Conference (TEMSCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TEMSCON.2018.8488446\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Technology and Engineering Management Conference (TEMSCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TEMSCON.2018.8488446","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

人们担心计算机技术将在不久的将来大量取代工作。在对大数据的研究中,一个反复出现的主题贯穿始终。有大量的可用数据,有必要了解这些数据。机器分析可以帮助组织理解这些数字,计算机正在从这些大型数据集中学习。由于这种机器学习,计算机技术将具有“思考”的能力,即人工智能。人们经常假设,这项技术将取代当前的许多工作。最近,媒体上对这个话题进行了大量的讨论。但这是真的吗?本文将列出在这种可能的工作转换中面临的一些管理挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Management Challenges in Technological Job Loss
There is a concern that computer technology will replace jobs at a large rate within the near future. In the study of Big Data, a recurring theme comes through. There is a great deal of data available and there is a need to understand this data. Machine analytics can help organizations understand these numbers, and computers are learning from these large datasets. Because of this machine learning, computer technology will have the ability to “think”, i.e. artificial intelligence. An assumption frequently made is that this technology will take over many current jobs. Recently, there has been an immense amount of discussion on this topic in the media. But is it true? This paper will list some management challenges in this possible job transition.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信