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Show Results For
- All HBS Web
(1,443)
- News (523)
- Research (588)
- Events (29)
- Multimedia (78)
- Faculty Publications (551)
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
- 29 Mar 2018
- HBS Seminar
Prithwiraj Choudhury, Harvard Business School
- Teaching Interest
Overview
Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
- 20 Nov 2024
- HBS Seminar
Marc Rotenberg, Georgetown University Law
- 23 Mar 2023
- HBS Seminar
Tinglong Dai, Johns Hopkins
- 26 Jun 2017
- Research & Ideas
How Cellophane Changed the Way We Shop for Food
development of self-service merchandising systems in American grocery stores, but also revealing how cellophane manufacturers tried to control the narrative of how women buy food. “Cellophane changed how people shopped,” says Ai Hisano,... View Details
- 26 Jun 2017
- News
How Cellophane Changed the Way We Shop for Food
Suraj Srinivasan
Suraj Srinivasan is the Philip J. Stomberg Professor of Business Administration, a member of the Accounting and Management faculty unit, and chair of the
- 2020
- Book
Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World
By: Marco Iansiti and Karim R. Lakhani
In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very... View Details
Keywords: Artificial Intelligence; Technological Innovation; Change; Competition; Strategy; Leadership; Business Processes; Organizational Change and Adaptation; AI and Machine Learning
Iansiti, Marco, and Karim R. Lakhani. Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World. Boston: Harvard Business Review Press, 2020.
Seth Neel
Seth Neel is an Assistant Professor housed in the Department of Technology and Operations Management (TOM) at HBS, and a Faculty Affiliate in Computer Science at SEAS. He is Principal Investigator of the Trustworthy AI Lab in Harvard's new View Details
- January–February 2025
- Article
Why People Resist Embracing AI: The Five Main Obstacles—and How To Overcome Them
The success of AI depends not only on its capabilities, which are becoming more advanced each day, but on people’s willingness to harness them. Unfortunately, many people view AI negatively, fearing it will cause job losses, increase the likelihood that their personal... View Details
De Freitas, Julian. "Why People Resist Embracing AI: The Five Main Obstacles—and How To Overcome Them." Harvard Business Review 103, no. 1 (January–February 2025).
- 30 Oct 2024
- HBS Seminar
Catherine D'Ignazio, MIT
- 2025
- Working Paper
Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships
By: Julian De Freitas, Noah Castelo, Ahmet Kaan Uğuralp and Zeliha Oğuz-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
De Freitas, Julian, Noah Castelo, Ahmet Kaan Uğuralp, and Zeliha Oğuz-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.)
- November 2022 (Revised March 2024)
- Case
Replika AI: Monetizing a Chatbot
By: Julian De Freitas and Nicole Tempest Keller
In early 2018, Eugenia Kuyda, co-founder and CEO of San Francisco-based chatbot Replika AI, was deciding how to monetize the app she had built. Launched in 2017, Replika was a consumer AI “companion app” developed by a team of AI software engineers originally based in... View Details
Keywords: Mental Health; Subscriber Models; TAM; Monetization Strategy; Marketing Strategy; Product Marketing; AI and Machine Learning; Applications and Software; Product Positioning; Health Disorders; Technology Industry
De Freitas, Julian, and Nicole Tempest Keller. "Replika AI: Monetizing a Chatbot." Harvard Business School Case 523-016, November 2022. (Revised March 2024.)
Himabindu Lakkaraju
Himabindu "Hima" Lakkaraju is an Assistant Professor of Business Administration at Harvard Business School. She is also a faculty affiliate in the Department of Computer Science at Harvard University, the Harvard Data Science Initiative, Center for Research on... View Details
- 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
Verganti, Roberto, Luca Vendraminelli, and Marco Iansiti. "Design in the Age of Artificial Intelligence." Harvard Business School Working Paper, No. 20-091, February 2020.
The Experimentation Machine
Leverage AI to be a 10x Founder
Today’s most successful founders know that the startups that learn the fastest will win. In The Experimentation Machine, HBS professor, entrepreneur, and venture capitalist Jeffrey J. Bussgang reveals... View Details
- November 2, 2021
- Article
The Cultural Benefits of Artificial Intelligence in the Enterprise
By: Sam Ransbotham, François Candelon, David Kiron, Burt LaFountain and Shervin Khodabandeh
The 2021 MIT SMR-BCG report identifies a wide range of AI-related cultural benefits at both the team and organizational levels. Whether it’s reconsidering business assumptions or empowering teams, managing the dynamics across culture, AI use, and organizational... View Details
Ransbotham, Sam, François Candelon, David Kiron, Burt LaFountain, and Shervin Khodabandeh. "The Cultural Benefits of Artificial Intelligence in the Enterprise." MIT Sloan Management Review, Big Ideas Artificial Intelligence and Business Strategy Initiative (website) (November 2, 2021). (Findings from the 2021 Artificial Intelligence and Business Strategy Global Executive Study and Research Project.)
- January 2025
- Case
Ontra: Embracing GenAI in the Legal Technology Industry
By: Christopher Stanton and George Gonzalez
Ontra built a network of legal professionals to enable financial institutions to outsource contract negotiations. The rise of generative AI inspired the company to build software solutions to streamline its processes through automation. Now company leadership must... View Details
Keywords: Transformation; AI and Machine Learning; Applications and Software; Organizational Change and Adaptation; Organizational Culture; Business Strategy; Technology Industry; Legal Services Industry; United States
Stanton, Christopher, and George Gonzalez. "Ontra: Embracing GenAI in the Legal Technology Industry." Harvard Business School Case 825-076, January 2025.
- December 2018 (Revised March 2021)
- Background Note
Modern Automation (A): Artificial Intelligence
By: William R. Kerr and James Palano
This primer is meant to be a field guide to the late 2010s' surge in business use of "Artificial Intelligence" (AI), or enterprise software based in machine learning. First, it provides an overview of the key trends—digitization, connectivity, the continuation of... View Details
Keywords: Artificial Intelligence; Digitization; Connectivity; Computing; Future Of Work; Automation; AI and Machine Learning
Kerr, William R., and James Palano. "Modern Automation (A): Artificial Intelligence." Harvard Business School Background Note 819-084, December 2018. (Revised March 2021.)