{"title":"How companies can prepare for the coming “AI-first” world","authors":"T. Davenport, Niti Mittal","doi":"10.1108/sl-11-2022-0107","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThe authors’ research identified seven best practices of leading companies with a particularly aggressive “All-in-on-AI” approach to Artificial Intelligence technology. 10;\n\n\nDesign/Methodology/Approach\nThe article examines how successful companies are reskilling and upskilling their employees to help develop, interpret and improve AI systems.\n\n\nFindings\nTo date, AI technologies are most commonly applied in making business processes more efficient, improving decisions and enhancing existing products and services, but “All-in-on-AI” companies eventually develop use cases across a wide variety of functions and processes, decisions and products or services.\n\n\nPractical/Implications\nWhile many have predicted that AI would replace humans, AI-powered companies see the primary goal as discovering how to get the best out of both by redesigning jobs, reskilling workers and becoming more efficient and effective in the process.\n\n\nOriginality Value\nCompanies seeking to get significant returns on their investment in AI should take note of the practices of leading firms.\n","PeriodicalId":169963,"journal":{"name":"Strategy & Leadership","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Strategy & Leadership","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/sl-11-2022-0107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Purpose
The authors’ research identified seven best practices of leading companies with a particularly aggressive “All-in-on-AI” approach to Artificial Intelligence technology. 10;
Design/Methodology/Approach
The article examines how successful companies are reskilling and upskilling their employees to help develop, interpret and improve AI systems.
Findings
To date, AI technologies are most commonly applied in making business processes more efficient, improving decisions and enhancing existing products and services, but “All-in-on-AI” companies eventually develop use cases across a wide variety of functions and processes, decisions and products or services.
Practical/Implications
While many have predicted that AI would replace humans, AI-powered companies see the primary goal as discovering how to get the best out of both by redesigning jobs, reskilling workers and becoming more efficient and effective in the process.
Originality Value
Companies seeking to get significant returns on their investment in AI should take note of the practices of leading firms.