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  • All HBS Web  (1,425)
    • News  (523)
    • Research  (588)
    • Events  (29)
    • Multimedia  (78)
  • Faculty Publications  (551)

Show Results For

  • All HBS Web  (1,425)
    • News  (523)
    • Research  (588)
    • Events  (29)
    • Multimedia  (78)
  • Faculty Publications  (551)
← Page 8 of 1,425 Results →
  • Feb 03 2020
  • Short Film

Cutting Through the AI Hype

  • April 12, 2023
  • Article

Using AI to Adjust Your Marketing and Sales in a Volatile World

By: Das Narayandas and Arijit Sengupta
Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer... View Details
Keywords: Forecasting and Prediction; AI and Machine Learning; Consumer Behavior; Technology Adoption; Competitive Advantage
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Narayandas, Das, and Arijit Sengupta. "Using AI to Adjust Your Marketing and Sales in a Volatile World." Harvard Business Review Digital Articles (April 12, 2023).
  • September 2024
  • Exercise

Finding Your 'Jagged Frontier': A Generative AI Exercise

By: Mitchell Weiss
In 2023 a set of scholars set out to study the effect of artificial intelligence (AI) on the quality and productivity of knowledge workers—in this specific instance, management consultants. They wanted to know across a range of tasks in a workflow, which, if any, would... View Details
Keywords: AI and Machine Learning; Performance Productivity; Performance Evaluation; Consulting Industry
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Weiss, Mitchell. "Finding Your 'Jagged Frontier': A Generative AI Exercise." Harvard Business School Exercise 825-070, September 2024.
  • January 2025
  • Technical Note

AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix

By: Tsedal Neeley and Tim Englehart
This technical note introduces the confusion matrix as a foundational tool in artificial intelligence (AI) and large language models (LLMs) for assessing the performance of classification models, focusing on their reliability for decision-making. A confusion matrix... View Details
Keywords: Reliability; Confusion Matrix; AI and Machine Learning; Decision Making; Measurement and Metrics; Performance
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Neeley, Tsedal, and Tim Englehart. "AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix." Harvard Business School Technical Note 425-049, January 2025.
  • 26 Aug 2024
  • Research & Ideas

Can AI Match Human Ingenuity in Creative Problem-Solving?

When ChatGPT and other large language models began entering the mainstream two years ago, it quickly became apparent the technology could excel at certain business functions, yet it was less clear how well artificial intelligence could handle more creative tasks. Sure,... View Details
Keywords: by Michael Blanding; Information Technology; Information; Technology
  • Web

Online AI Course | HBS Online

Introduction to AI Essentials for Business ENROLL NOW No application needed for our certificate programs. Start your journey today! AI Essentials for Business $1,850 Next 4-week session starts July 16th... View Details

    Why You Aren’t Getting More from Your Marketing AI - HBR

    Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the... 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).
    • January 2025
    • Case

    Hebbia: Redefining Productivity for Knowledge Workers Using AI

    By: Suraj Srinivasan and Minoshka Narayan
    In early 2025, George Sivulka, founder and CEO of Hebbia, reflected on the company’s rapid ascent as a pioneer in GenAI-powered productivity tools for knowledge workers. With its proprietary technology, Hebbia had redefined information retrieval and analysis and earned... View Details
    Keywords: Transformation; Customer Relationship Management; AI and Machine Learning; Innovation and Management; Innovation Strategy; Service Delivery; Technological Innovation; Growth and Development Strategy; Competitive Strategy; Banking Industry; Financial Services Industry; Technology Industry; United States; New York (city, NY)
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    Srinivasan, Suraj, and Minoshka Narayan. "Hebbia: Redefining Productivity for Knowledge Workers Using AI." Harvard Business School Case 125-075, January 2025.
    • 11 Dec 2023
    • News

    AI for Nursing Jobs

    • 18 Jun 2024
    • HBS Conference

    Directors’ AI Ethics Forum

    • May 2025
    • Teaching Note

    The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation

    By: Tsedal Neeley
    Teaching Note for HBS Case No. 425-720. Florian Hillen, co-founder and CEO of VideaHealth, a startup using artificial intelligence (AI) to detect dental conditions on x-rays, spent the early years of his company laying the groundwork for an AI factory. This AI factory,... View Details
    Keywords: Diagnostics; Organization Design; Change Management; Disruption; Transformation; Health Care and Treatment; AI and Machine Learning; Technological Innovation; Technology Adoption; Management Style; Organizational Culture; Success; Technology Industry; Health Industry; United States
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    Neeley, Tsedal. "The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation." Harvard Business School Teaching Note 425-102, May 2025.
    • 07 Mar 2023
    • News

    ChatGPT: Did Big Tech Set Up the World for an AI Bias Disaster?

    • News

    Competing in the Age of AI Requires a New Strategy

    • December 2023 (Revised August 2024)
    • Case

    Monsters in the Machine? Tackling the Challenge of Responsible AI

    By: Paul M. Healy and Debora L. Spar
    In November of 2022, the small tech company OpenAI released ChatGPT, an artificial intelligence chatbot which quickly captured the public’s imagination—becoming the world’s fastest-growing consumer application within months of its release. Though observers from across... View Details
    Keywords: Technological Innovation; AI and Machine Learning; Ethics; Governing Rules, Regulations, and Reforms; Technology Adoption; Corporate Social Responsibility and Impact; Technology Industry; United States; European Union; China
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    Healy, Paul M., and Debora L. Spar. "Monsters in the Machine? Tackling the Challenge of Responsible AI." Harvard Business School Case 324-062, December 2023. (Revised August 2024.)
    • June 2024
    • Teaching Note

    Beamery: Using Skills and AI to Modernize HR

    By: Boris Groysberg, David Lane, Susan Pinckney and Alexis Lefort
    Teaching Note for HBS Case No. 424-004. Unicorn human relationships startup Beamery evaluates it growth versus depth strategy as its strategic partners and customers could become future competitors in a quickly changing AI based human resources and talent management... View Details
    Keywords: Analysis; Business Growth and Maturation; Business Model; Business Startups; Business Plan; Disruption; Transformation; Talent and Talent Management; Decisions; Diversity; Ethnicity; Gender; Nationality; Race; Residency; Higher Education; Learning; Entrepreneurship; Fairness; Cross-Cultural and Cross-Border Issues; Global Strategy; Growth and Development; AI and Machine Learning; Digital Platforms; Disruptive Innovation; Technological Innovation; Job Offer; Job Search; Knowledge Acquisition; Knowledge Use and Leverage; Product; Mission and Purpose; Strategic Planning; Problems and Challenges; Corporate Strategy; Equality and Inequality; Valuation; Value Creation; Employment Industry; United Kingdom
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    Groysberg, Boris, David Lane, Susan Pinckney, and Alexis Lefort. "Beamery: Using Skills and AI to Modernize HR." Harvard Business School Teaching Note 424-072, June 2024.
    • May 2022
    • Supplement

    Borusan CAT: Monetizing Prediction in the Age of AI (B)

    By: Navid Mojir and Gamze Yucaoglu
    Borusan Cat is an international distributor of Caterpillar heavy machines. In 2021, it had been three years since Ozgur Gunaydin (CEO) and Esra Durgun (Director of Strategy, Digitization, and Innovation) started working on Muneccim, the company’s predictive AI tool.... View Details
    Keywords: AI and Machine Learning; Commercialization; Technology Adoption; Industrial Products Industry; Turkey; Middle East
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    Mojir, Navid, and Gamze Yucaoglu. "Borusan CAT: Monetizing Prediction in the Age of AI (B)." Harvard Business School Supplement 522-045, May 2022.
    • Web

    Ai Weiwei Strength 2019 | About

    Ai Weiwei Strength , 2019 Ai Weiwei (Chinese, born 1957), Strength , 2019, cast iron, 70 1/2 x 76 3/8 x 88 5/8 inches. Courtesy of the Artist, Lisson Gallery, and neugerriemschneider . View Details
    • March 2024 (Revised August 2024)
    • Supplement

    Darktrace: Scaling Cybersecurity and AI (B)

    By: Jeffrey F. Rayport and Alexis Lefort
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    Rayport, Jeffrey F., and Alexis Lefort. "Darktrace: Scaling Cybersecurity and AI (B)." Harvard Business School Supplement 824-179, March 2024. (Revised August 2024.)
    • 15 Mar 2023
    • Podcast

    Google’s AI Approach to Climate Change

    In this second episode in our series on climate change and AI, Yossi Matias, Vice President, Engineering & Research at Google, and the founding Managing Director of Google Center in Israel, explains how Google uses AI and Machine Learning to tackle some of the biggest... View Details
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