{"title":"即将到来的人工智能浪潮:工程管理》对产品开发的影响","authors":"Robert G. Cooper","doi":"10.1109/EMR.2024.3378536","DOIUrl":null,"url":null,"abstract":"When will the coming artificial intelligence (AI) wave crest? And what impact will AI have on engineering management in your company? Many leadership teams seem uncertain about the ultimate role of AI in their corporation, its potential impact, and its timing—whether they should move forward now at full speed, or watch and wait for a while. This article provides insights on the current status as well as recommendations on how to get started on implementing AI.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 3","pages":"17-26"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Coming AI Wave: The Impact on Product Development in Engineering Management\",\"authors\":\"Robert G. Cooper\",\"doi\":\"10.1109/EMR.2024.3378536\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When will the coming artificial intelligence (AI) wave crest? And what impact will AI have on engineering management in your company? Many leadership teams seem uncertain about the ultimate role of AI in their corporation, its potential impact, and its timing—whether they should move forward now at full speed, or watch and wait for a while. This article provides insights on the current status as well as recommendations on how to get started on implementing AI.\",\"PeriodicalId\":35585,\"journal\":{\"name\":\"IEEE Engineering Management Review\",\"volume\":\"52 3\",\"pages\":\"17-26\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Engineering Management Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10474101/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Engineering Management Review","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10474101/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
The Coming AI Wave: The Impact on Product Development in Engineering Management
When will the coming artificial intelligence (AI) wave crest? And what impact will AI have on engineering management in your company? Many leadership teams seem uncertain about the ultimate role of AI in their corporation, its potential impact, and its timing—whether they should move forward now at full speed, or watch and wait for a while. This article provides insights on the current status as well as recommendations on how to get started on implementing AI.
期刊介绍:
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