{"title":"人工智能驱动的数字平台创新","authors":"S. Yablonsky","doi":"10.22215/TIMREVIEW/1392","DOIUrl":null,"url":null,"abstract":"The vast array of available digital platform data together with the rapid emergence of Artificial Intelligence (AI) insights and services have given rise to a perception of technology abundance. However, while most platforms have enough data processing solutions, products, and vendors, they are typically lacking a single organizational view into 1) what AI transformation services they need to use, on 2) which digital assets, regarding 3) who, when, and why they should be provided, as well as 4) what services they should be integrating with, and 5) why they should be doing it.","PeriodicalId":51569,"journal":{"name":"Technology Innovation Management Review","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"AI-Driven Digital Platform Innovation\",\"authors\":\"S. Yablonsky\",\"doi\":\"10.22215/TIMREVIEW/1392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The vast array of available digital platform data together with the rapid emergence of Artificial Intelligence (AI) insights and services have given rise to a perception of technology abundance. However, while most platforms have enough data processing solutions, products, and vendors, they are typically lacking a single organizational view into 1) what AI transformation services they need to use, on 2) which digital assets, regarding 3) who, when, and why they should be provided, as well as 4) what services they should be integrating with, and 5) why they should be doing it.\",\"PeriodicalId\":51569,\"journal\":{\"name\":\"Technology Innovation Management Review\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2020-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Technology Innovation Management Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22215/TIMREVIEW/1392\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology Innovation Management Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22215/TIMREVIEW/1392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
The vast array of available digital platform data together with the rapid emergence of Artificial Intelligence (AI) insights and services have given rise to a perception of technology abundance. However, while most platforms have enough data processing solutions, products, and vendors, they are typically lacking a single organizational view into 1) what AI transformation services they need to use, on 2) which digital assets, regarding 3) who, when, and why they should be provided, as well as 4) what services they should be integrating with, and 5) why they should be doing it.