Predicting a future where the future is routinely predicted

IF 4 4区 管理学 Q2 BUSINESS
A. Moore
{"title":"Predicting a future where the future is routinely predicted","authors":"A. Moore","doi":"10.7551/mitpress/11645.003.0006","DOIUrl":null,"url":null,"abstract":"Thanks to advances in artificial intelligence (AI), managers will be alerted to workplace anomalies as soon they occur. Unusual behaviors will be identified in real time by cameras and image-processing software that continuously analyze and comprehend scenes across the enterprise. The hunch-based bets of the past already are giving way to far more reliable data-informed decisions. But AI will take this further. By analyzing new types of data, including real-time video and a range of other inputs, AI systems will be able to provide managers with insights about what is happening in their businesses at any moment in time and, even more significantly, detect early warnings of bigger problems that have yet to materialize. With AI, we can have machines look for millions of worrying patterns in the time it would take a human to consider just one. Statisticians and AI researchers are working together to identify situations and conditions that tend to sound false alarms, The predictive benefits of AI will stretch well beyond equipment and process analysis.","PeriodicalId":48169,"journal":{"name":"Mit Sloan Management Review","volume":null,"pages":null},"PeriodicalIF":4.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mit Sloan Management Review","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.7551/mitpress/11645.003.0006","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 7

Abstract

Thanks to advances in artificial intelligence (AI), managers will be alerted to workplace anomalies as soon they occur. Unusual behaviors will be identified in real time by cameras and image-processing software that continuously analyze and comprehend scenes across the enterprise. The hunch-based bets of the past already are giving way to far more reliable data-informed decisions. But AI will take this further. By analyzing new types of data, including real-time video and a range of other inputs, AI systems will be able to provide managers with insights about what is happening in their businesses at any moment in time and, even more significantly, detect early warnings of bigger problems that have yet to materialize. With AI, we can have machines look for millions of worrying patterns in the time it would take a human to consider just one. Statisticians and AI researchers are working together to identify situations and conditions that tend to sound false alarms, The predictive benefits of AI will stretch well beyond equipment and process analysis.
在常规预测未来的地方预测未来
由于人工智能(AI)的进步,一旦工作场所出现异常情况,管理者就会得到提醒。摄像头和图像处理软件将实时识别异常行为,持续分析和理解整个企业的场景。过去基于直觉的押注已经让位于更加可靠的、基于数据的决策。但人工智能将更进一步。通过分析新型数据,包括实时视频和一系列其他输入,人工智能系统将能够为管理人员提供有关其业务中随时发生的情况的见解,更重要的是,可以发现尚未实现的更大问题的早期预警。有了人工智能,我们可以让机器寻找数百万种令人担忧的模式,而人类只需要考虑一种模式的时间。统计学家和人工智能研究人员正在共同努力,以确定容易发出假警报的情况和条件。人工智能的预测效益将远远超出设备和流程分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.30
自引率
2.40%
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