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- All HBS Web
(1,029)
- People (1)
- News (187)
- Research (619)
- Events (11)
- Multimedia (3)
- Faculty Publications (500)
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- 07 Jan 2019
- Research & Ideas
The Better Way to Forecast the Future
for prediction and for forecasting something that is unknown.” The rise of big data and machine learning offers infinitely more fuel to churn out probability forecasts, which can serve as an entry point for... View Details
- March 2024 (Revised April 2024)
- Case
Coursera's Foray into GenAI
By: Suraj Srinivasan, Michael Parzen and Radhika Kak
In early 2023, Maggioncalda, CEO of US EdTech firm Coursera, launched Project Genesis to develop a strategy for incorporating GenAI capabilities into the firm's offerings, asking his teams to focus on value to the firm and cost of implementation. The team identified... View Details
Keywords: Business Model; AI and Machine Learning; Brands and Branding; Business Strategy; Competitive Advantage; Technological Innovation; Education Industry; Technology Industry; United States
Srinivasan, Suraj, Michael Parzen, and Radhika Kak. "Coursera's Foray into GenAI." Harvard Business School Case 124-089, March 2024. (Revised April 2024.)
- 30 Oct 2017
- Research & Ideas
Asking Questions Can Get You a Better Job or a Second Date
Source: FangXiaNuo New research suggests that people who ask questions, particularly follow-up questions, may become better managers, land better jobs, and even win second dates. “Compared to those who do not ask many questions, people who do are better liked and View Details
Keywords: by Rachel Layne
- February 2021
- Tutorial
What is AI?
By: Tsedal Neeley
This video explores the elements that constitute artificial intelligence (AI). From its mathematical basis to current advances in AI, this video introduces students to data, tools, and statistical models that make a computer 'intelligent.' Through an explanation of... View Details
- 20 Nov 2019
- Research & Ideas
It's No Joke: AI Beats Humans at Making You Laugh
the Author Dina Gerdeman is senior writer at Harvard Business School Working Knowledge. [Image: Cecilie_Arcurs] Related Reading Use Artificial Intelligence to Set Sales Targets That Motivate Don't Turn Your Marketing Function Over to AI Just Yet Will View Details
Keywords: by Dina Gerdeman
- 13 May 2022
- Research & Ideas
Company Reviews on Glassdoor: Petty Complaints or Signs of Potential Misconduct?
upstream indicators of culture gone sour, they scraped employee reviews from Glassdoor.com, a website where employees can leave subjective anonymous reviews about their employer. Harnessing machine learning... View Details
- 23 Nov 2021
- Research & Ideas
The Vinyl Renaissance: Take Those Old Records Off the Shelf
Austin, Texas, in 2017, and Ryan Raffaelli, the Marvin Bower Associate Professor at HBS, to learn more about the vinyl renaissance. The interview has been edited for clarity and length. Gazette: Why have vinyl records come back into favor... View Details
- 17 Apr 2019
- Research & Ideas
How Managers Stifle Creativity
conducive work environment, is external. The internal components are: Expertise. People need expertise to be creative. So, to the extent that you can continue to learn not only in your primary domain, but in other, related domains, you'll... View Details
Keywords: by Danielle Kost
- 01 Sep 2006
- What Do You Think?
Are We Ready for Self-Management?
people in learning conversations, coach, develop, and create a clear picture of the result, you probably will be thrilled with the result ." Others, while attracted to the idea in theory, characterized these views as too inclusive... View Details
Keywords: by James Heskett
- May 2024
- Case
A New Aiera for Equity Research
By: Joseph Pacelli, Charles CY Wang and James Barnett
Aiera (pronounced “era”) co-founder and CEO Ken Sena considers strategic pathways to growth for the artificial intelligence (AI)-powered platform used to source, verify, and transcribe earnings calls, company presentations, and other corporate events. View Details
- 18 Dec 2019
- Book
6 Skills That Wise Companies Harness for World-Changing Innovation
Takeuchi says he’s hopeful that Japanese firms will start to take advantage of machine learning and other technologies that Western companies are embracing. But as large companies begin to take greater... View Details
Keywords: by Kristen Senz
- March 2023 (Revised March 2024)
- Case
Accelerating AI Adoption in the U.S. Air Force
By: Maria P. Roche and Alexander Farrow
In August 2022, the Pentagon tasked U.S. Air Force Captain Victor Lopez to launch a new office for AFWERX, an Air Force innovation unit that leveraged commercial developers and military talent to acquire advanced technologies. This task was particularly arduous because... View Details
Keywords: Technological Innovation; Organizational Design; AI and Machine Learning; Adoption; Technology Adoption; United States
Roche, Maria P., and Alexander Farrow. "Accelerating AI Adoption in the U.S. Air Force." Harvard Business School Case 723-429, March 2023. (Revised March 2024.)
- April 2022
- Article
AI Insurance: How Liability Insurance Can Drive the Responsible Adoption of Artificial Intelligence in Health Care
By: Ariel Dora Stern, Avi Goldfarb, Timo Minssen and W. Nicholson Price II
Despite enthusiasm about the potential to apply artificial intelligence (AI) to medicine and health care delivery, adoption remains tepid, even for the most compelling technologies. In this article, the authors focus on one set of challenges to AI adoption: those... View Details
Keywords: Artificial Intelligence; Medicine; Health Care and Treatment; Legal Liability; Insurance; Technology Adoption; AI and Machine Learning
Stern, Ariel Dora, Avi Goldfarb, Timo Minssen, and W. Nicholson Price II. "AI Insurance: How Liability Insurance Can Drive the Responsible Adoption of Artificial Intelligence in Health Care." NEJM Catalyst Innovations in Care Delivery 3, no. 4 (April 2022).
- 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
Ghosh, Shikhar, and Esel Çekin. "InstaDeep: AI Innovation Born in Africa (B)." Harvard Business School Supplement 822-105, February 2022. (Revised July 2022.)
- November–December 2023
- Article
Keep Your AI Projects on Track
By: Iavor Bojinov
AI—and especially its newest star, generative AI—is today a central theme in corporate boardrooms, leadership discussions, and casual exchanges among employees eager to supercharge their productivity. Sadly, beneath the aspirational headlines and tantalizing potential... View Details
Keywords: Generative Models; AI and Machine Learning; Success; Failure; Product Development; Technology Adoption
Bojinov, Iavor. "Keep Your AI Projects on Track." Harvard Business Review 101, no. 6 (November–December 2023): 53–59.
- January 2017 (Revised March 2017)
- Case
IBM Transforming, 2012–2016: Ginni Rometty Steers Watson
By: Rosabeth Moss Kanter and Jonathan Cohen
To transform IBM for the next technology wave, Ginni Rometty, who became CEO in 2012, led divestment of declining businesses, made acquisitions in digital innovation and cloud computing, formed partnerships with former competitors such as Apple and tech startups, and... View Details
Keywords: Digital; Technological Change; Artificial Intelligence; Data; IBM; Watson; Internet Of Things; Innovation and Invention; Management; Sales; Information Technology; Technological Innovation; Transformation; AI and Machine Learning
Kanter, Rosabeth Moss, and Jonathan Cohen. "IBM Transforming, 2012–2016: Ginni Rometty Steers Watson." Harvard Business School Case 317-046, January 2017. (Revised March 2017.)
- February 2020
- Technical Note
Talent Management and the Future of Work
By: William R. Kerr and Gorick Ng
The nature of work is changing—and it is changing rapidly. Few days go by without industry giants such as Amazon and AT&T announcing plans to invest billions of dollars towards retraining nearly half of their respective workforces for jobs of the future. What changes... View Details
Keywords: Human Resource Management; Human Capital Development; Human Resource Practices; Talent; Talent Acquisition; Talent Development; Talent Development And Retention; Talent Management; Talent Retention; Labor Flows; Labor Management; Labor Market; Strategy Development; Strategy Management; Strategy Execution; Strategy And Execution; Strategic Change; Transformations; Organization; Organization Alignment; Organization Design; Organizational Adaptation; Organizational Effectiveness; Management Challenges; Management Of Business And Political Risk; Change Leadership; Future Of Work; Future; Skills Gap; Skills Development; Skills; Offshoring And Outsourcing; Investment; Capital Allocation; Work; Work Culture; Work Force Management; Work/life Balance; Work/family Balance; Work-family Boundary Management; Workers; Worker Productivity; Worker Performance; Work Engagement; Work Environment; Work Environments; Productivity; Organization Culture; Soft Skills; Technology Management; Technological Change; Technological Change: Choices And Consequences; Technology Diffusion; Disruptive Technology; Global Business; Global; Workplace; Workplace Context; Workplace Culture; Workplace Wellness; Collaboration; Competencies; Productivity Gains; Digital; Digital Transition; Competitive Dynamics; Competitiveness; Competitive Strategy; Data Analytics; Data; Data Management; Data Strategy; Data Protection; Aging Society; Diversity; Diversity Management; Millennials; Communication Complexity; Communication Technologies; International Business; Work Sharing; Global Competitiveness; Global Corporate Cultures; Intellectual Property; Intellectual Property Management; Intellectual Property Protection; Intellectual Capital And Property Issues; Globalization Of Supply Chain; Inequality; Recruiting; Hiring; Hiring Of Employees; Training; Job Cuts And Outsourcing; Job Performance; Job Search; Job Design; Job Satisfaction; Jobs; Employee Engagement; Employee Attitude; Employee Benefits; Employee Compensation; Employee Fairness; Employee Relationship Management; Employee Retention; Employee Selection; Employee Motivation; Employee Feedback; Employee Coordination; Employee Performance Management; Employee Socialization; Process Improvement; Application Performance Management; Stigma; Institutional Change; Candidates; Digital Enterprise; Cultural Adaptation; Cultural Change; Cultural Diversity; Cultural Context; Cultural Strategies; Cultural Psychology; Cultural Reform; Performance; Performance Effectiveness; Performance Management; Performance Evaluation; Performance Appraisal; Performance Feedback; Performance Measurement; Performance Metrics; Performance Measures; Performance Efficiency; Efficiency; Performance Analysis; Performance Appraisals; Performance Improvement; Automation; Artificial Intelligence; Technology Companies; Managerial Processes; Skilled Migration; Assessment; Human Resources; Management; Human Capital; Talent and Talent Management; Retention; Demographics; Labor; Strategy; Change; Change Management; Transformation; Organizational Change and Adaptation; Organizational Culture; Working Conditions; Information Technology; Technology Adoption; Disruption; Economy; Competition; Globalization; AI and Machine Learning; Digital Transformation
Kerr, William R., and Gorick Ng. "Talent Management and the Future of Work." Harvard Business School Technical Note 820-084, February 2020.
- November 2023
- Case
Copilot(s): Generative AI at Microsoft and GitHub
This case tells the story of Microsoft’s 2018 acquisition of GitHub and the subsequent launch of GitHub Copilot, a tool that uses generative artificial intelligence to suggest snippets of code to software developers in real time. Set in late 2021, when Copilot was... View Details
Keywords: Business Ventures; Strategy; AI and Machine Learning; Applications and Software; Product Launch; Information Technology Industry; Technology Industry; Web Services Industry; United States; California
Nagle, Frank, Shane Greenstein, Maria P. Roche, Nataliya Langburd Wright, and Sarah Mehta. "Copilot(s): Generative AI at Microsoft and GitHub." Harvard Business School Case 624-010, November 2023.
- 2023
- Working Paper
Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data
By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman
To mitigate information asymmetry about borrowers in developing economies, digital lenders utilize machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details
Keywords: Borrowing and Debt; Credit; AI and Machine Learning; Welfare; Well-being; Developing Countries and Economies; Equality and Inequality
Chen, AJ, Omri Even-Tov, Jung Koo Kang, and Regina Wittenberg-Moerman. "Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data." Harvard Business School Working Paper, No. 23-076, April 2023. (Revised November 2023. SSRN Working Paper Series, November 2023)
- October 2021 (Revised September 2022)
- Case
SmartOne: Building an AI Data Business
By: Karim R. Lakhani, Pippa Armerding, Gamze Yucaoglu and Fares Khrais
The case opens in August 2021, as Habib and Shahysta Hassim, husband and wife co-founders of the data labeling company SmartOne, contemplate the strategy of the high growth company. Between 2016 and 2021, SmartOne had kept doubling its size every two years and now,... View Details
Keywords: Artificial Intelligence; Data Labeling; Entrepreneurship; Strategy; Operations; Business Model; Growth Management; Growth and Development Strategy; AI and Machine Learning; Africa; Madagascar; Europe; France; United States
Lakhani, Karim R., Pippa Armerding, Gamze Yucaoglu, and Fares Khrais. "SmartOne: Building an AI Data Business." Harvard Business School Case 622-059, October 2021. (Revised September 2022.)