Author:
Davenport, Thomas H., 1954- author.
ImprintCambridge, Massachusetts : The MIT Press, [2022]
Descriptionxxi, 288 pages ; 24 cm.
Note:I. Case Studies -- Morgan Stanley: Financial Advisors and the Next Best Action System -- ChowNow: Growth Operations and RingDNA -- Stitch Fix: AI-Assisted Clothing Stylists -- Arkansas State University: Fundraising with Gravyty -- Shopee: The Product Manager's Role in AI-Driven E-Commerce -- Haven Life and MassMutual: The Digital Life Underwriter -- Radius Financial Group: Intelligent Mortgage Processing -- DBS Bank: AI-Driven Transaction Surveillance -- Medical Diagnosis and Treatment Record Coding with AI -- Dentsu: RPA for Citizen Automation Developers -- 84.51[degree] and Kroger: AutoML to Improve Data Science Productivity -- Mandiant: AI Support for Cyberthreat Attribution -- DBS Digibank India: Customer Science for Customer Service -- Intuit: AI-Assisted Writing with Writer.com -- Lilt: The Computer-Assisted Translator -- Salesforce: Architects of Ethical AI Practices -- The Dermatologist: AI-Assisted Skin Imaging -- Good Doctor Technology: Intelligent Telemedicine in Southeast Asia -- Osler Works: The Transformation of Legal Services Delivery -- PBC Linear: AI-Enabled Virtual Reality for Employee Training -- Seagate: Improving Automated Visual Inspection of Wafers and Fab Tooling with AI -- Stanford Health Care: Robotic Pharmacy Operations -- Fast Food Hamburger Outlets: Flippy: Robotic Assistants for Fast Food Preparation -- FarmWise: Digital Weeders for Robotic Weeding of Farm Fields -- Wilmington, North Carolina, Police Department: AI-Driven Policing -- Certis: AI Support for the Multifaceted Security Guard at Jewel Changi Airport -- Southern California Edison: Machine Learning Safety Data Analytics for Front-Line Accident Prevention -- Massachusetts Bay Transportation Authority: AI-Assisted Diesel Oil Analysis for Train Maintenance -- Singapore Land Transport Authority: Rail Network Management in a Smart City -- II. Insights -- It Takes a Village to Change a Job with AI -- Everybody's a Techie: Or at Least Has a Hybrid Job Role -- The Platforms That Make AI Work -- Intelligent Case Management Systems -- Opportunities for Entry-Level Workers: Diminishing or Not? -- Remote and Independent Work -- What Machines Can't Do (Yet) -- III. Conclusions -- Looking Ahead to the Future of Work with Smart Machines.
Bibliography Note:Includes bibliographical references and index.
Note:"An exploration of the future of work featuring real-world profiles of changing jobs and work arrangements in light of human/AI interaction."-- Provided by publisher.
