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  • All HBS Web  (1,197)
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  • All HBS Web  (1,197)
    • People  (2)
    • News  (187)
    • Research  (797)
    • Events  (14)
    • Multimedia  (3)
  • Faculty Publications  (568)
← Page 21 of 1,197 Results →
  • January 2018 (Revised March 2019)
  • Case

Autonomous Vehicles: The Rubber Hits the Road...but When?

By: William Kerr, Allison Ciechanover, Jeff Huizinga and James Palano
The rise of autonomous vehicles has enormous implications for business and society. Despite the many headlines and significant investment in the technology by early 2019, it was still unclear when truly autonomous vehicles would be a commercial reality. Students will... View Details
Keywords: Technology Management; Artificial Intelligence; General Management; Robotics; Technological Innovation; Transportation; Disruption; Information Technology; Decision Making; AI and Machine Learning; Auto Industry; Technology Industry
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Kerr, William, Allison Ciechanover, Jeff Huizinga, and James Palano. "Autonomous Vehicles: The Rubber Hits the Road...but When?" Harvard Business School Case 818-088, January 2018. (Revised March 2019.)
  • February 2022 (Revised September 2022)
  • Case

InstaDeep: AI Innovation Born in Africa (A)

By: Shikhar Ghosh and Esel Çekin
Karim Beguir and Zohra Slim were the co-founders of InstaDeep, a deep tech startup focusing on artificial intelligence (AI) solutions. Instadeep was one of the few companies globally that were partnering with DeepMind, an AI subsidiary of Google [Alphabet Inc.].... View Details
Keywords: AI; Artificial Intelligence; Entrepreneurship; Operations; Business Subsidiaries; Brands and Branding; Innovation and Invention; Growth and Development Strategy; AI and Machine Learning; Technology Industry; Africa
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Ghosh, Shikhar, and Esel Çekin. "InstaDeep: AI Innovation Born in Africa (A)." Harvard Business School Case 822-104, February 2022. (Revised September 2022.)
  • 08 Apr 2014
  • First Look

First Look: April 8

By: Hałaburda, Hanna, and Felix Oberholzer-Gee Abstract—The value of many products and services rises or falls with the number of customers using them; the fewer fax machines in use, the less important it is to have one. These network... View Details
Keywords: Sean Silverthorne
  • 22 May 2020
  • Blog Post

Reflections on Service - Armed Forces Alumni Association Student Profiles

Each of these portraits tells a unique story of military service. The HBS students featured represent a small portion of the many veterans who live and learn in our community. They are sons and daughters, brothers and sisters, spouses and... View Details

    Tatiana Sandino

    Tatiana Sandino is the Arthur Lowes Dickinson Professor of Business Administration in the Accounting and Management Unit, most recently teaching and undertaking the role of course head for the required first-year MBA course Financial Reporting and Control. She has... View Details

    Keywords: retailing; service industry
    • Web

    Program Requirements - Doctoral

    Methods II (Economics 2115) Advanced Applied Econometrics (Economics 2144) Industrial Organization (Economics 2610) Statistical Methods for Evaluating Causal Effects (Econ 1127) Advanced Quantitative Methods II (KSG API 210i) Machine... View Details
    • 02 May 2023
    • What Do You Think?

    How Should Artificial Intelligence Be Regulated—if at All?

    (iStockphoto/Rost-9D) Artificial intelligence (AI) is the topic of the moment in circles ranging from science to business to religion. Its potential and implications are driven home when you see robot soccer players improve their game to the point that they behave as a... View Details
    Keywords: by James Heskett; Information Technology; Technology
    • 09 May 2012
    • Research & Ideas

    Clayton Christensen’s “How Will You Measure Your Life?”

    watch the DVDs that they had ordered. As long as the DVDs sat unwatched at customers' homes, Netflix did not have to pay return postage-or send out the next batch of movies that the customer had already paid the monthly fee to get. “As Blockbuster View Details
    • March 10, 2025
    • Article

    How Gen AI Could Change the Value of Expertise

    By: Joseph Fuller, Matt Sigelman and Michael Fenlon
    In the near future, gen AI is likely to affect some 50 million jobs, automating away elements of some jobs and augmenting workers’ abilities in others. The extent of those changes will compel companies to reshape their organizational structures and rethink their talent... View Details
    Keywords: AI and Machine Learning; Job Cuts and Outsourcing; Organizational Structure; Talent and Talent Management; Personal Development and Career
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    Fuller, Joseph, Matt Sigelman, and Michael Fenlon. "How Gen AI Could Change the Value of Expertise." Harvard Business Review (website) (March 10, 2025).
    • Web

    Technology & Operations Management - Faculty & Research

    Supplement 625-106, April 2025. Climate Change Adaptation with Artificial Intelligence and Machine Learning By: Michael W. Toffel and Nabig Chaudhry April 2025 | Background Note | Faculty Research Artificial... View Details
    • 17 Jun 2014
    • First Look

    First Look: June 17

    out an Industrial Internet, connecting machines and devices, collecting their data and operations, and providing services to clients based on analytics of this data and information. The case considers the implications of such an... View Details
    Keywords: Sean Silverthorne

      Antonio Moreno

      Antonio (Toni) Moreno is the Sicupira Family Associate Professor in the Technology and Operations Management Unit. He teaches courses related to technology and operations management in the MBA, executive, and doctoral programs. Before joining HBS, he was an... View Details

      Keywords: retailing; internet; e-commerce industry
      • Web

      Marketing - Faculty & Research

      creation to achieve multiple objectives, e.g., advertising and social media. Keywords: Large Language Models ; Content Creation ; Media ; Polarization ; Generative Ai ; Direct Preference Optimization ; AI and Machine View Details
      • 09 Jan 2024
      • In Practice

      Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year

      step into 2024, this could be the year a new paradigm for collaborative innovation emerges between human and machine intelligence. Crowdsourcing—a technique using diverse ideas from the masses—is one such area poised for change, research... View Details
      Keywords: by Rachel Layne; Information Technology
      • Web

      Creating Emerging Markets

      Knowledge What Machine Learning Teaches Us about CEO Leadership Style Featured Videos Creating Emerging Markets Doing Good By Doing Business - Creating Emerging Markets Overcoming institutional voids to... View Details
      • 2025
      • Working Paper

      Is Love Blind? AI-Powered Trading with Emotional Dividends

      By: De-Rong Kong and Daniel Rabetti
      We leverage the non-fungible tokens (NFTs) setting to assess the valuation of emotional dividends (LOVE), a long-standing empirical challenge in private-value markets such as art, antiques, and collectibles. Having created and validated our proxy, we use deep learning... View Details
      Keywords: NFTs; Non-fungible Tokens; AI and Machine Learning; Valuation; Financial Markets
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      Kong, De-Rong, and Daniel Rabetti. "Is Love Blind? AI-Powered Trading with Emotional Dividends." Working Paper, February 2025.
      • Web

      Students on the Job Market - Doctoral

      Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL... View Details
      • Web

      Blavatnik Fellowship in Life Science Entrepreneurship - Health Care

      improving healthcare access and outcomes on a broad scale. Before HBS, Somani spent 10 years in the industry, managing software development teams building machine learning platforms at Oracle and Amazon... View Details
      • Web

      Podcast - Business & Environment

      explaining how Dryad’s solar-powered sensors and mesh networks detect wildfires at their inception and transmit real-time alerts to their customers. He also discusses the technical challenges of embedding machine View Details
      • 21 Mar 2018
      • Research & Ideas

      Why Artificial Intelligence Isn't a Sure Thing to Increase Productivity

      turns out that long before robots replace workers en masse, if ever, workers will be using AI-based tools to do work, as is already seen with radiologists who employ such tools to interpret X-rays and lawyers who turn to View Details
      Keywords: by Michael Blanding; Technology; Information
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