1. 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° 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 -- Salseforce: 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 -- 2. 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) -- 3. Conclusions : Looking ahead to the future of work with smart machines.
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