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  • All HBS Web  (1,483)
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    • News  (274)
    • Research  (943)
    • Events  (19)
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Show Results For

  • All HBS Web  (1,483)
    • People  (1)
    • News  (274)
    • Research  (943)
    • Events  (19)
    • Multimedia  (6)
  • Faculty Publications  (771)
← Page 51 of 1,483 Results →
  • 20 Mar 2017
  • Book

Why Companies Are Placing Users at the Core of Their Innovation Strategies

on what the company wants to achieve in their business model. Machine learning is one of the new core technologies that allow for data science. Many companies are relying on it for their advances. Google, Facebook, View Details
Keywords: by Dina Gerdeman
  • 2025
  • Working Paper

Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships

By: Julian De Freitas, Noah Castelo, Ahmet K. Uğuralp and Zeliha O. Uğuralp
As consumers increasingly interact with AI applications specialized for social relationships, what is the nature and depth of these relationships among actual users, and can company actions influence these dynamics? We find that active users of the US-based AI... View Details
Keywords: AI and Machine Learning; Welfare; Loss; Well-being; Identity; Perception; Relationships
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De Freitas, Julian, Noah Castelo, Ahmet K. Uğuralp, and Zeliha O. Uğuralp. "Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships." Harvard Business School Working Paper, No. 25-018, October 2024. (Revised May 2025.)
  • 2024
  • Working Paper

Why Most Resist AI Companions

By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
Chatbots are now able to form emotional relationships with people and alleviate loneliness—a growing public health concern. Behavioral research provides little insight into whether everyday people are likely to use these applications and why. We address this question... View Details
Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions
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De Freitas, Julian, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp, and Stefano Puntoni. "Why Most Resist AI Companions." Harvard Business School Working Paper, No. 25-030, December 2024. (Revised January 2025.)
  • Career Coach

Troy Peterson

an uncommon intention for a military veteran with a history degree: to jump into the tech world and work in product. After working through challenges getting & preparing for tech interviews, Troy joined a team at Facebook building... View Details
  • September 17, 2021
  • Article

AI Can Help Address Inequity—If Companies Earn Users' Trust

By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta
While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a... View Details
Keywords: Artificial Intelligence; Algorithmic Bias; Technological Innovation; Perception; Diversity; Equality and Inequality; Trust; AI and Machine Learning
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Zhang, Shunyuan, Kannan Srinivasan, Param Singh, and Nitin Mehta. "AI Can Help Address Inequity—If Companies Earn Users' Trust." Harvard Business Review Digital Articles (September 17, 2021).
  • 18 Jul 2024
  • Blog Post

Harvard Business School Announces Its 2024-2025 Blavatnik Fellows

and CEO of KiraGen Bio, a biotech company that utilizes machine learning-driven multiplex gene editing to engineer CAR-T cells that can resist the immunosuppressive effects of solid tumor microenvironments.... View Details
  • 24 May 2004
  • Research & Ideas

The Watsons: IBM’s Troubled Legacy

the International Business Machines Corporation and its indomitable leader, Thomas J. Watson Sr. As a demonstration of the latest device out of the I.B.M. research laboratories, a letter of congratulation... View Details
Keywords: by Richard S. Tedlow
  • 13 Aug 2018
  • Blog Post

Following My Dream: Launching a Venture

solving last mile delivery to cryptocurrencies, but finally decided to make employees happier and healthier by creating the first fully-automated, free-standing smoothie machine for offices. It combines my... View Details
Keywords: Entrepreneurship
  • 14 Sep 2015
  • Research & Ideas

Rewriting the Rules of Service Competition

way when it introduced faster, larger expresso machines that ruined the service experience for baristas and customers alike by shortening the contact time and obstructing their... View Details
Keywords: by James Heskett, W. Earl Sasser & Leonard A. Schlesinger; Retail
  • February 2022 (Revised July 2022)
  • Supplement

InstaDeep: AI Innovation Born in Africa (B)

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 (B)." Harvard Business School Supplement 822-105, February 2022. (Revised July 2022.)
  • Article

Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting

By: Raymond H. Mak, Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani and Eva C. Guinan
Importance: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncologist work force does not meet growing global demand. One key physician task in RT planning involves tumor segmentation for targeting, which requires substantial... View Details
Keywords: Crowdsourcing; AI Algorithms; Health Care and Treatment; Collaborative Innovation and Invention; AI and Machine Learning
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Mak, Raymond H., Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani, and Eva C. Guinan. "Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting." JAMA Oncology 5, no. 5 (May 2019): 654–661.
  • 01 Apr 2002
  • News

Q&A - Mark Fields

Concluding a successful tenure at Mazda, Mark Fields was appointed on April 19 to head the Premier group, a London-based unit of Ford Motor Company, which controls Mazda. The Premier group, a $23 billion company, includes brands such as Volvo, Jaguar, Aston Martin,... View Details
Keywords: auto; Mazda; Ford; Mark Fields; Machinery Manufacturing; Machinery Manufacturing
  • 17 Jan 2008
  • Research & Ideas

If Marketing Experts Ran Elections

Maybe they have to register in advance, wait in line at the polling station, and use an out-of-date polling machine to do so. The commercial marketplace is much more convenient. Consumers can cast their... View Details
Keywords: by John A. Quelch

    Sidney W. Winslow, Jr.

    Following the death of his father, Sidney Winslow Jr. took an increasingly important role in the family company, which had been consolidated into the holding company, United Shoe Machinery Corporation. Winslow went on to expand the... View Details
    Keywords: Fabric & Apparel
    • February 2024 (Revised July 2024)
    • Case

    Taffi: Entrepreneurship in Saudi Arabia

    By: Paul A. Gompers and Fares Khrais
    Taffi was a tech-enabled fashion styling startup founded by Shahad Geoffrey in Saudi Arabia in 2020. Within three years of operating, Geoffrey had pivoted the business multiple times. In 2023, Geoffrey was attempting the business’s most ambitious pivot yet, shifting... View Details
    Keywords: Business Startups; Disruption; Entrepreneurship; Venture Capital; Investment; Growth and Development Strategy; Business Strategy; AI and Machine Learning; Fashion Industry; Technology Industry; Saudi Arabia; Arabian Peninsula
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    Gompers, Paul A., and Fares Khrais. "Taffi: Entrepreneurship in Saudi Arabia." Harvard Business School Case 224-052, February 2024. (Revised July 2024.)
    • 2024
    • Working Paper

    AI Companions Reduce Loneliness

    By: Julian De Freitas, Ahmet K. Uğuralp, Zeliha O. Uğuralp and Stefano Puntoni
    Chatbots are now able to engage in sophisticated conversations with consumers in the domain of relationships, providing a potential coping solution to widescale societal loneliness. Behavioral research provides little insight into whether these applications are... View Details
    Keywords: AI and Machine Learning; Technological Innovation; Behavior; Well-being
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    De Freitas, Julian, Ahmet K. Uğuralp, Zeliha O. Uğuralp, and Stefano Puntoni. "AI Companions Reduce Loneliness." Harvard Business School Working Paper, No. 24-078, June 2024.
    • April 2024
    • Case

    Managing AI Risks in Consumer Banking

    By: Suraj Srinivasan, Satish Tadikonda, Paul Dongha, Manoj Saxena and Radhika Kak
    In early 2024, Ruth Jones, head of digital banking at Signa Bank, a (fictitious) European consumer bank, was thinking about how to best incorporate GenAI capabilities to improve efficiencies and create new ways to improve the customer experience. Where were the biggest... View Details
    Keywords: Customer Relationship Management; AI and Machine Learning; Risk Management; Opportunities; Customization and Personalization; Banking Industry; Europe
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    Srinivasan, Suraj, Satish Tadikonda, Paul Dongha, Manoj Saxena, and Radhika Kak. "Managing AI Risks in Consumer Banking." Harvard Business School Case 124-093, April 2024.
    • February 2024 (Revised September 2024)
    • Case

    TimeCredit

    By: Emanuele Colonnelli, Raymond Kluender and Shai Benjamin Bernstein
    TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting background, as she decides how much... View Details
    Keywords: Accounting; Business Startups; Entrepreneurship; Financing and Loans; AI and Machine Learning; Entrepreneurial Finance; Identity; Technology Industry
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    Colonnelli, Emanuele, Raymond Kluender, and Shai Benjamin Bernstein. "TimeCredit." Harvard Business School Case 824-139, February 2024. (Revised September 2024.)
    • February 2024
    • Teaching Note

    TimeCredit

    By: Emanuele Colonnelli, Raymond Kluender and Shai Benjamin Bernstein
    Teaching Note for HBS Case No. 824-139. TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting... View Details
    Keywords: Accounting; Business Startups; Entrepreneurship; Financing and Loans; AI and Machine Learning; Entrepreneurial Finance; Identity; Partners and Partnerships; Technology Industry
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    Colonnelli, Emanuele, Raymond Kluender, and Shai Benjamin Bernstein. "TimeCredit." Harvard Business School Teaching Note 824-171, February 2024.
    • March 2024
    • Teaching Note

    'Storrowed': A Generative AI Exercise

    By: Mitchell Weiss
    Teaching Note for HBS Exercise No. 824-188. “Storrowed” is an exercise to help participants raise their proficiency with generative AI. It begins by highlighting a problem: trucks getting wedged underneath bridges in Boston, Massachusetts on the city’s Storrow Drive.... View Details
    Keywords: AI and Machine Learning; Entrepreneurship; Innovation and Invention; Government Administration; Transportation Industry; Public Administration Industry
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    Weiss, Mitchell. "'Storrowed': A Generative AI Exercise." Harvard Business School Teaching Note 824-189, March 2024.
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