{"title":"今天是数字时代，明天是认知时代","authors":"Ginni Rometty","doi":"10.7551/mitpress/11645.003.0004","DOIUrl":null,"url":null,"abstract":"Enterprises and governments are rapidly becoming digital as they seek to capture the cost savings, agility, and collaboration enabled by cloud, analytics, mobile, and social technologies. However, digital is not the destination. Rather, it is laying the foundation for a much more profound transformation to come. The technologies required for cognitive systems not just artificial intelligence (AI), but a broad spectrum of capabilities that include natural language processing, human-computer interaction, deep learning, neural nets, and more have made exponential advances in recent years.","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":"16","resultStr":"{\"title\":\"Digital today, cognitive tomorrow\",\"authors\":\"Ginni Rometty\",\"doi\":\"10.7551/mitpress/11645.003.0004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Enterprises and governments are rapidly becoming digital as they seek to capture the cost savings, agility, and collaboration enabled by cloud, analytics, mobile, and social technologies. However, digital is not the destination. Rather, it is laying the foundation for a much more profound transformation to come. The technologies required for cognitive systems not just artificial intelligence (AI), but a broad spectrum of capabilities that include natural language processing, human-computer interaction, deep learning, neural nets, and more have made exponential advances in recent years.\",\"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\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mit Sloan Management Review\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.7551/mitpress/11645.003.0004\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mit Sloan Management Review","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.7551/mitpress/11645.003.0004","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
Enterprises and governments are rapidly becoming digital as they seek to capture the cost savings, agility, and collaboration enabled by cloud, analytics, mobile, and social technologies. However, digital is not the destination. Rather, it is laying the foundation for a much more profound transformation to come. The technologies required for cognitive systems not just artificial intelligence (AI), but a broad spectrum of capabilities that include natural language processing, human-computer interaction, deep learning, neural nets, and more have made exponential advances in recent years.
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