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  • All HBS Web  (1,483)
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    • Research  (943)
    • Events  (19)
    • Multimedia  (6)
  • Faculty Publications  (771)
← Page 58 of 1,483 Results →
  • 01 Mar 2006
  • News

Robots to the Rescue

STANDING TALL: Mountz flanked by colleagues Raffaello D'Andrea (left) and Pete Wurman. PHOTO BY ERIK JACOBS/BOSTON GLOBE Order fulfillment will never be the same if Mick Mountz (MBA ’96) has his way. Distribution centers typically rely on... View Details
Keywords: robotics; Architectural, Engineering, and Related Services; Architectural, Engineering, and Related Services

    Thomas J. Watson, Sr.

    Though Watson had to personally secure a loan to reshape the company’s finances, he turned it around in a matter of years and officially incorporated it as International Business Machines in 1923. Over the... View Details
    Keywords: Computers & Electronics
    • 07 Jun 2016
    • First Look

    June 7, 2016

    data are often voluminous and unstructured, presenting analytical challenges for traditional tools that were designed for well-structured, quantitative data. We adapt methods from natural language processing View Details
    Keywords: Sean Silverthorne
    • Web

    Michael Danzi | Baker Library | Bloomberg Center | Harvard Business School

    rather than only finance them. He joined a small machinery company to learn about operations and management firsthand. He then founded his own broker-dealership to provide financing for growth companies in... View Details
    • June 2024
    • Case

    Aidoc: Building a Hospital-Centric AI Platform

    By: Ariel D. Stern and Susan Pinckney
    In 2023, Israel-based AI health care company Aidoc evaluated its future. The company, founded in 2016, had grown from commercializing a single AI product for radiologists to a software platform that could detect 20 conditions and immediately notify care teams of... View Details
    Keywords: Business Growth and Maturation; Business Model; Business Organization; Business Startups; Disruption; Cost vs Benefits; Decision Choices and Conditions; Decisions; Private Sector; Entrepreneurial Finance; Global Range; Global Strategy; Globalized Markets and Industries; Governance Compliance; Governance Controls; Governing and Advisory Boards; Policy; Medical Specialties; AI and Machine Learning; Digital Platforms; Digital Transformation; Technology Adoption; Disruptive Innovation; Innovation and Management; Innovation Strategy; Laws and Statutes; Growth and Development Strategy; Growth Management; Distribution; Product Development; Success; Performance Efficiency; Strategic Planning; Research and Development; Risk and Uncertainty; Business Strategy; Competitive Advantage; Value Creation; Health Industry; Israel
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    Stern, Ariel D., and Susan Pinckney. "Aidoc: Building a Hospital-Centric AI Platform." Harvard Business School Case 624-046, June 2024.
    • April 1, 2024
    • Other Article

    Paying For AI In Healthcare: Setting The Right Precedent Amidst Growing Use

    By: Mitchell Tang, Kaylee Wilson and Ateev Mehrotra
    Keywords: Health Care and Treatment; AI and Machine Learning; Cost
    Citation
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    Tang, Mitchell, Kaylee Wilson, and Ateev Mehrotra. "Paying For AI In Healthcare: Setting The Right Precedent Amidst Growing Use." Health Affairs Forefront (April 1, 2024).
    • 03 Jan 2017
    • First Look

    January 3, 2017

    Winter 2017 MIT Sloan Management Review Why Big Data Isn't Enough By: Chai, Sen, and Willy C. Shih Abstract—There is a growing belief that sophisticated algorithms can explore huge databases and find... View Details
    Keywords: Carmen Nobel
    • 16 Nov 2011
    • News

    Are Humans Cost-Effective?

    occurred to me (at my customary snail’s pace) that IBM missed a PR bonanza by not making its marvelous machine a woman. But I digress. Watson’s performance at times was puzzling. The machine answered 34... View Details
    Keywords: Garry Emmons
    • 20 Oct 2022 - 22 Oct 2022
    • Talk

    Stigma Against AI Companion Applications

    By: Julian De Freitas, A. Ragnhildstveit and A.K. Uğuralp
    Keywords: AI and Machine Learning; Attitudes; Perception
    Citation
    Related
    De Freitas, Julian, A. Ragnhildstveit, and A.K. Uğuralp. "Stigma Against AI Companion Applications." 53rd Association for Consumer Research Annual Conference, Denver, CO, October 20–22, 2022.
    • 01 Jun 2012
    • News

    Made in the USA

    machinery by cannibalizing parts from a printing press a previous tenant had left behind. “I’d come in every morning at 5 and start cutting and tacking up pieces of metal,” he... View Details
    Keywords: Blagg, Deborah; cheese; lobster fishing; Fishing, Hunting and Trapping; Fishing, Hunting and Trapping; Fishing, Hunting and Trapping; Fishing, Hunting and Trapping; Fishing, Hunting and Trapping; Fishing, Hunting and Trapping
    • 11 Oct 2022
    • News

    Righting the Ship

    management,” observes Stuckey. “If a process or system is not producing a desired outcome, then consider redesigning the machinery producing the outcome.” With the new model in place and execution numbers at... View Details
    Keywords: Maureen Harmon
    • 18 Feb 2009
    • First Look

    First Look: February 18, 2009

    demographics: 9 to 65 years old, male and female. As a result, Nintendo had stolen a march on its two larger rivals by appealing to people who were traditionally not avid video game users. Microsoft's and... View Details
    Keywords: Martha Lagace
    • 11 Dec 2012
    • First Look

    First Look: Dec. 11

      PublicationsHow Much Is Sweat Equity Worth? Authors:Marquis, Christopher, and Joshua D. Margolis Publication:Harvard Business Review 90, no. 12 (December 2012) Abstract The article presents a case study of a business decision related to... View Details
    Keywords: Sean Silverthorne
    • 12 Sep 2011
    • Research & Ideas

    The Untold Story of ‘Green’ Entrepreneurs

    In the 1920s, on pitch black nights in rural eastern Montana, the farmhouse owned by the parents of brothers Marcellus and Joe Jacobs stood out for one reason: it had light, although located far from power lines and gasoline supplies. It was a beacon in the dark that... View Details
    Keywords: by Sean Silverthorne
    • 01 Mar 2010
    • News

    Sunshine State

    implications of his audacious $800 million bet against subprime mortgages, Jeff Greene was to remember that distant day when his father took him to discover vending machines.” Indeed, Greene never forgot when he was 14 and living in... View Details
    Keywords: Real Estate
    • Web

    Bibliography - The Human Factor - – Baker Library | Bloomberg Center, Historical Collections

    Hawthorne Experiments. Cambridge: Cambridge University Press, 1991. Handy, Ellen. Images from the Machine Age: Selections from the Daniel Cowin Collection. New York: International Center for Photography, 1997. Hine, Lewis W. Men at Work:... View Details
    • Web

    Crisis Leadership - Bubbles, Panics & Crashes – Historical Collections – Harvard Business School

    spent the recession devising machinery and prototypes for his mill, and when investment funds became available in the late 1840s, he was well positioned to put his inventions... View Details
    • 13 Jul 2020
    • News

    Locally Grown

    pharmaceutical machinery sector. With the natural beauty of the Rocky Mountains as a backdrop for his career decision, Fenwick-Smith became increasingly interested in climate change and what the business... View Details
    Keywords: April White
    • Web

    Data Tips & Toolkits - Research Computing Services

    Fellegi-Sunter probabilistic record linkage model that allows for missing data and the inclusion of auxiliary information: https://cran.r-project.org/web/packages/fastLink/index.html . Machine Learning R... View Details
    • 01 Sep 2009
    • News

    From Bytes to Bites

    which built the large machines that automate the production of cardboard boxes. “I’ve always been wired operationally,” says Thomas, who majored in industrial engineering at Stanford University before coming to HBS. That background,... View Details
    Keywords: Julia Hanna; Food Services and Drinking Places; Food Services and Drinking Places; Food Services and Drinking Places; Food Services and Drinking Places
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