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  • All HBS Web  (1,194)
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    • Events  (17)
    • Multimedia  (8)
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← Page 21 of 1,194 Results →
  • March 2017
  • Supplement

Donna Dubinsky, Numenta and Artificial Intelligence

By: David B. Yoffie
Donna Dubinsky, CEO of Numenta, discusses her views of the future of artificial intelligence and the strategic challenges of building a new platform. View Details
Keywords: Artificial Intelligence; Strategy; Technological Change; AI and Machine Learning; Technology Industry
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Yoffie, David B. "Donna Dubinsky, Numenta and Artificial Intelligence." Harvard Business School Multimedia/Video Supplement 717-807, March 2017.
  • 01 Dec 2022
  • News

December 2022 Alumni and Faculty Books and Podcasts

determined quest. Auth will transport you in his spiritual time machine from Egypt’s Old Kingdom, through Greece and Rome, to medieval Europe; from the age of the Renaissance, through the Ages of Exploration... View Details
  • 27 Oct 2016
  • HBS Seminar

Andrea Pratt, Richard Paul Richman Professor of Business and Professor of Economics, Columbia University

  • December 2022 (Revised January 2025)
  • Case

Akooda: Charging Toward Operational Intelligence

By: Christopher Stanton and Mel Martin
The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google... View Details
Keywords: Data Mining; Productivity; Monitoring; Data Analysis; AI and Machine Learning; Knowledge Management; Operations; Problems and Challenges; Employee Relationship Management; Information Technology Industry; Technology Industry; Information Industry; Boston; Israel
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Stanton, Christopher, and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised January 2025.)
  • 29 May 2018
  • First Look

New Research and Ideas, May 29, 2018

incorporate these advancements to improve the way the functions work, how to incorporate machine learning and artificial intelligence that de facto improve productivity View Details
Keywords: Dina Gerdeman

    Isamar Troncoso

    Isamar Troncoso is an Assistant Professor of Business Administration in the Marketing Unit at HBS. She teaches the Marketing course in the MBA required curriculum.

    Professor Troncoso studies problems related to digital marketplaces and new technologies. She... View Details

    Keywords: e-commerce industry; high technology; retailing
    • 17 Jul 2023
    • Research & Ideas

    Money Isn’t Everything: The Dos and Don’ts of Motivating Employees

    that the process is transparent and understood, even if everyone’s individual pay isn’t transparent. Don’t replace all your people with robots In the age of AI and robotics,... View Details
    Keywords: by Avery Forman
    • 09 Dec 2019
    • News

    Identify Great Customers from Their First Purchase

    • 2020
    • Working Paper

    Design in the Age of Artificial Intelligence

    By: Roberto Verganti, Luca Vendraminelli and Marco Iansiti
    Artificial Intelligence (AI) is affecting the scenario in which innovation takes place. What are the implications for our understanding of design? Is AI just another digital technology that, akin to many others, will not significantly question what we know about... View Details
    Keywords: Artificial Intelligence; Design Thinking; Technological Innovation; Design; Change; Theory; AI and Machine Learning
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    Verganti, Roberto, Luca Vendraminelli, and Marco Iansiti. "Design in the Age of Artificial Intelligence." Harvard Business School Working Paper, No. 20-091, February 2020.
    • 26 Feb 2001
    • Research & Ideas

    David, Goliath, and Disruption

    into a disruptee. Learning To Chicken-scratch If a technology is to succeed, in theory at least, it should not require people to radically change their behavior. Instead, companies that promote the technology should hope for a gradual... View Details
    Keywords: by Martha Lagace
    • 30 Oct 2018
    • First Look

    New Research and Ideas, October 30, 2018

    Developing Theory Using Machine Learning Methods By: Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres Abstract—We describe how to employ View Details
    Keywords: Dina Gerdeman

      Julian De Freitas

      Julian De Freitas is an Assistant Professor of Business Administration in the Marketing Unit, and Director of the Ethical Intelligence Lab, at Harvard Business School. He earned his PhD in psychology from Harvard, masters from Oxford, and BA from Yale. He teaches... View Details

      Keywords: advertising; automotive; consumer products; e-commerce industry; insurance industry; marketing industry; nonprofit industry; software; transportation; video games
      • 15 May 2017
      • Sharpening Your Skills

      The Promises and Limitations of Big Data

      services firms are using digital information about their customers to offer them a whole new range of customized products under the category of fintech. Cities are using data from Google Street View to guide economic development. And... View Details
      Keywords: by Sean Silverthorne; Financial Services; Utilities; Public Administration; Health
      • 16 Oct 2019
      • Research & Ideas

      Read Our Most Popular Stories of the Quarter

      great customer service is no longer the responsibility of just one department. Creating the customer-centric organization. (12,182 visits) What Machine Learning Teaches Us about CEO Leadership Style... View Details
      Keywords: by Sean Silverthorne
      • 01 Mar 2025
      • News

      Alumni and Faculty Books

      Edited by Margie Kelley Borders and the Self By Chinwe Ajena-Sagna (MBA 2003) Masobe Books “Who are you?” Every border tells a story. Every story has its origins. Tracing a cultural lineage from the beginnings of Igbo history in the ninth century by delineating... View Details
      • 03 Apr 2025
      • HBS Seminar

      Ziad Obermeyer, UC Berkeley School of Public Health

        Ta-Wei Huang

        Ta-Wei (David) Huang is a PhD candidate in Quantitative Marketing at Harvard Business School. His research integrates causal inference and machine learning to address methodological challenges and unintended consequences in targeting, personalization, and online... View Details
        • April 2025
        • Case

        Lisa Su and AMD (A)

        By: Joshua D. Margolis, Matthew Preble and Dave Habeeb
        This multimedia case study focuses on CEO Lisa Su’s turnaround and subsequent transformation of the technology company Advanced Micro Devices, Inc. (AMD). When Su accepted the top position in 2014, AMD was on the verge of collapse. Su focused the company’s culture,... View Details
        Keywords: Turnaround; Artificial Intelligence; Semiconductors; Change Management; Transformation; Decision Making; Globalized Markets and Industries; Government and Politics; AI and Machine Learning; Innovation and Management; Innovation Strategy; Innovation Leadership; Leadership; Leadership Style; Leading Change; Management; Product Design; Product Development; Organizational Change and Adaptation; Organizational Culture; Organizational Design; Strategic Planning; Business and Shareholder Relations; Business and Stakeholder Relations; Research and Development; Business Strategy; Competitive Strategy; Competitive Advantage; Corporate Strategy; Semiconductor Industry; Computer Industry; United States; California; Texas
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        Margolis, Joshua D., Matthew Preble, and Dave Habeeb. "Lisa Su and AMD (A)." Harvard Business School Multimedia/Video Case 425-704, April 2025.
        • Web

        Online Leadership and Management Courses | HBS Online

        generative AI lessons—for a limited time. Learn More Free E-Book How to Become a More Effective Leader Learn about the difference between leadership View Details
        • 03 Oct 2017
        • First Look

        First Look at Research and Ideas, October 3, 2017

        using people analytics in hiring. The case also provides an accessible yet thorough explanation of the key aspects of artificial intelligence (supervised, unsupervised, and reinforcement machine learning).... View Details
        Keywords: by Sean Silverthorne
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