{"title":"数字技术系统","authors":"V. Silva, M. B. Bonacelli, Carlos Américo Pacheco","doi":"10.20396/rbi.v19i0.8658756","DOIUrl":null,"url":null,"abstract":"The advancement of digital technologies in the last decade has motivated analysis regarding a new era in capitalism. Most of these analyzes, however, are narrow in scope, as they only address isolated technologies. In addition, they are short-lived, as they do not recognize the links between these digital technologies and the preceding block of information and communication technologies. We propose a broader scope and longer timeframe to fill these gaps. We conceptualized the Digital Technological System (2010-2020) as the cluster of artificial intelligence, cloud computing and Big Data. This cluster generates three innovation streams: digitization, algorithmization and platformization. The autocatalytic relationships between the technologies of this cluster and between previous ICT systems indicate historical continuity. However, the phenomenon of data commoditization that unfolds from this system is configured as a major historical discontinuity.","PeriodicalId":41641,"journal":{"name":"Revista Brasileira de Inovacao","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"O sistema tecnológico digital\",\"authors\":\"V. Silva, M. B. Bonacelli, Carlos Américo Pacheco\",\"doi\":\"10.20396/rbi.v19i0.8658756\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The advancement of digital technologies in the last decade has motivated analysis regarding a new era in capitalism. Most of these analyzes, however, are narrow in scope, as they only address isolated technologies. In addition, they are short-lived, as they do not recognize the links between these digital technologies and the preceding block of information and communication technologies. We propose a broader scope and longer timeframe to fill these gaps. We conceptualized the Digital Technological System (2010-2020) as the cluster of artificial intelligence, cloud computing and Big Data. This cluster generates three innovation streams: digitization, algorithmization and platformization. The autocatalytic relationships between the technologies of this cluster and between previous ICT systems indicate historical continuity. However, the phenomenon of data commoditization that unfolds from this system is configured as a major historical discontinuity.\",\"PeriodicalId\":41641,\"journal\":{\"name\":\"Revista Brasileira de Inovacao\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2020-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista Brasileira de Inovacao\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20396/rbi.v19i0.8658756\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Brasileira de Inovacao","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20396/rbi.v19i0.8658756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS","Score":null,"Total":0}
The advancement of digital technologies in the last decade has motivated analysis regarding a new era in capitalism. Most of these analyzes, however, are narrow in scope, as they only address isolated technologies. In addition, they are short-lived, as they do not recognize the links between these digital technologies and the preceding block of information and communication technologies. We propose a broader scope and longer timeframe to fill these gaps. We conceptualized the Digital Technological System (2010-2020) as the cluster of artificial intelligence, cloud computing and Big Data. This cluster generates three innovation streams: digitization, algorithmization and platformization. The autocatalytic relationships between the technologies of this cluster and between previous ICT systems indicate historical continuity. However, the phenomenon of data commoditization that unfolds from this system is configured as a major historical discontinuity.