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      • 2023
      • Article

      Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset

      By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
      Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
      Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry
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      Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
      • 2023
      • Book

      Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow

      By: Ken Huang, Yang Wang, Feng Zhu, Xi Chen and Chunxiao Xing
      This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business... View Details
      Keywords: Generative Ai; AI and Machine Learning; Ethics; Technology Adoption
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      Huang, Ken, Yang Wang, Feng Zhu, Xi Chen, and Chunxiao Xing, eds. Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow. Springer, 2023.
      • 2023
      • Article

      Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability

      By: Usha Bhalla, Suraj Srinivas and Himabindu Lakkaraju
      With the increased deployment of machine learning models in various real-world applications, researchers and practitioners alike have emphasized the need for explanations of model behaviour. To this end, two broad strategies have been outlined in prior literature to... View Details
      Keywords: AI and Machine Learning; Mathematical Methods
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      Bhalla, Usha, Suraj Srinivas, and Himabindu Lakkaraju. "Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability." Advances in Neural Information Processing Systems (NeurIPS) (2023).
      • October 2023
      • Case

      Fixie and Conversational AI Sidekicks

      By: Jeffrey J. Bussgang and Carin-Isabel Knoop
      In March 2023, Fixie Co-Founder and Chief Architect Matt Welsh and co-founders had the kind of meeting no founders want to have. The president of leading artificial intelligence (AI) research and deployment firm OpenAI, which had catapulted into fame with its ChatGPT... View Details
      Keywords: Large Language Model; Entrepreneurship; Decision Choices and Conditions; AI and Machine Learning; Technological Innovation; Competitive Strategy; Technology Industry; United States
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      Bussgang, Jeffrey J., and Carin-Isabel Knoop. "Fixie and Conversational AI Sidekicks." Harvard Business School Case 824-037, October 2023.
      • September 2023 (Revised June 2024)
      • Case

      Kaspi.kz: Building Trust through Innovation

      By: Sandra J. Sucher, Fares Khrais and Marilyn Morgan Westner
      This case is written to help students explore how companies can maintain and develop trust while innovating, how to identify and respond effectively to warning signs that they may not be as trusted as they believe, and how being trusted can aid in expanding and growing... View Details
      Keywords: Growth and Development Strategy; Organizational Culture; Trust; Technology Adoption; Innovation and Invention; Banking Industry
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      Sucher, Sandra J., Fares Khrais, and Marilyn Morgan Westner. "Kaspi.kz: Building Trust through Innovation." Harvard Business School Case 324-022, September 2023. (Revised June 2024.)
      • September 2023 (Revised January 2024)
      • Case

      AB InBev: Brewing Up Forecasts during COVID-19

      By: Mark Egan, C. Fritz Foley, Esel Cekin and Emilie Billaud
      In July 2021, the CEO of AB InBev's European operations and his team strategized to position the company for success post-pandemic. As the world's largest beer company, boasting over 500 brands, revenue of $46 billion, and a workforce of 160,000 in 2020, AB InBev... View Details
      Keywords: Beer; Forecasting; COVID-19; Decision; Forecasting and Prediction; Analytics and Data Science; Crisis Management; Decisions; Financing and Loans; Investment Return; Resource Allocation; Distribution; Production; Business Processes; Strategic Planning; Health Pandemics; Digital Transformation; Markets; Food and Beverage Industry; Belgium; Europe; Latin America; North and Central America
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      Egan, Mark, C. Fritz Foley, Esel Cekin, and Emilie Billaud. "AB InBev: Brewing Up Forecasts during COVID-19." Harvard Business School Case 224-020, September 2023. (Revised January 2024.)
      • September 2023 (Revised July 2024)
      • Case

      Going Mobile-First? The Digital Transformation of Davivienda Bank in Colombia

      By: Jorge Tamayo and Jenyfeer Martinez Buitrago
      Set in 2017, this case describes the digital transformation strategy of Davivienda—a leading player in Colombia’s commercial banking and one of the companies belonging to Grupo Bolívar, a major Colombian financial conglomerate. The case also describes the pioneer role... View Details
      Keywords: Change Management; Transformation; Decision Choices and Conditions; Information Technology; Digital Strategy; Digital Transformation; Internet and the Web; Mobile and Wireless Technology; Innovation and Management; Innovation Strategy; Growth and Development Strategy; Business Strategy; Banking Industry; Latin America; Central America; South America; Colombia
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      Tamayo, Jorge, and Jenyfeer Martinez Buitrago. "Going Mobile-First? The Digital Transformation of Davivienda Bank in Colombia." Harvard Business School Case 724-389, September 2023. (Revised July 2024.)
      • September 2023 (Revised April 2024)
      • Case

      Atomwise: Strategic Opportunities in AI for Pharma

      By: Satish Tadikonda
      Abraham Heifets and his co-founder, Izhar Wallach, had founded Atomwise to develop i) an AI engine to transform drug discovery by creating better medicines faster, and ii) a machine learning-based discovery engine that combined the power of convolutional neural... View Details
      Keywords: Business Model; Business Startups; AI and Machine Learning; Science-Based Business; Technological Innovation; Biotechnology Industry; Pharmaceutical Industry
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      Tadikonda, Satish. "Atomwise: Strategic Opportunities in AI for Pharma." Harvard Business School Case 824-043, September 2023. (Revised April 2024.)
      • September 2023
      • Case

      Super Quantum: Using Artificial Intelligence to Transform Asset Management (A)

      By: Feng Zhu and Kerry Herman
      Dr. Zhang, CEO of Super Quantum, an AI-driven hedge fund, is considering an investor’s request to withdraw their funds as the markets experience volatility. Should he pull the investor’s funds? View Details
      Keywords: AI and Machine Learning; Volatility; Financial Markets; Investment Funds; Decision Choices and Conditions; Financial Services Industry
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      Zhu, Feng, and Kerry Herman. "Super Quantum: Using Artificial Intelligence to Transform Asset Management (A)." Harvard Business School Case 624-027, September 2023.
      • September–October 2023
      • Article

      Reskilling in the Age of AI

      By: Jorge Tamayo, Leila Doumi, Sagar Goel, Orsolya Kovács-Ondrejkovic and Raffaella Sadun
      In the coming decades, as the pace of technological change continues to increase, millions of workers may need to be not just upskilled but reskilled—a profoundly complex societal challenge that will sometimes require workers to both acquire new skills and... View Details
      Keywords: Competency and Skills; AI and Machine Learning; Training; Adaptation; Employees; Digital Transformation
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      Tamayo, Jorge, Leila Doumi, Sagar Goel, Orsolya Kovács-Ondrejkovic, and Raffaella Sadun. "Reskilling in the Age of AI." Harvard Business Review 101, no. 5 (September–October 2023): 56–65.
      • 2023
      • Working Paper

      LALIGA—From a Soccer Competition Organizer to a Global Player in the Sports and Entertainment Industry

      By: Stephen A. Greyser, Kenneth Cortsen and Juan Fuentes Fernández
      LALIGA, the first- and second-tier professional soccer league (known as “football” outside of the U.S. and Canada) in Spain, enters its 100th soccer season later this decade. The most popular game in the world (Giulianotti, 2012) has gone through many changes since... View Details
      Keywords: Soccer; "Sports Organizations,; Business History; Strategy; Brands and Branding; Technology Adoption; Sports Industry
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      Greyser, Stephen A., Kenneth Cortsen, and Juan Fuentes Fernández. "LALIGA—From a Soccer Competition Organizer to a Global Player in the Sports and Entertainment Industry." Harvard Business School Working Paper, No. 24-009, August 2023.
      • August 2023
      • Case

      WayCool: Reimagining the Food Supply Chain

      By: Paul Gompers and Kairavi Dey
      Founded in 2015, WayCool, is an Indian agri-tech start-up that built a B2B operation acquiring fruits and vegetables from product-specific agriculture companies and small-holding farmers. It sold them to business customers, such as local retail stores, restaurants, and... View Details
      Keywords: Agribusiness; Digital Transformation; Operations; Business Strategy; Supply Chain; Performance; Business Startups; Growth and Development Strategy; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; Asia; South Asia
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      Gompers, Paul, and Kairavi Dey. "WayCool: Reimagining the Food Supply Chain." Harvard Business School Case 224-011, August 2023.
      • August 2023
      • Case

      Kariyer.net: Recruiting AI

      By: Shunyuan Zhang, Fares Khrais and Namrata Arora
      In 2017, Fatih Uysal (AMP 2021) became CEO of Kariyer.net. By then, the business was already the industry leading online job board in Turkey. However, faced with stalling growth, a turbulent macroenvironment, and growing competition from international players, Uysal... View Details
      Keywords: Online Technology; Marketing; Websites; Artificial Intelligence; Innovation; Two-sided Platforms; Internet and the Web; Product Launch; Product Positioning; Job Search; Employment; Transformation; Volatility; Innovation and Invention; Disruptive Innovation; Management Practices and Processes; Business Growth and Maturation; Competitive Strategy; Business Startups; Talent and Talent Management; Cost vs Benefits; Macroeconomics; Corporate Entrepreneurship; Emerging Markets; Digital Platforms; Information Technology Industry; Information Technology Industry; Information Technology Industry; Middle East; Turkey
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      Zhang, Shunyuan, Fares Khrais, and Namrata Arora. "Kariyer.net: Recruiting AI." Harvard Business School Case 524-014, August 2023.
      • August 2023
      • Case

      Reimagining Hindustan Unilever (A)

      By: Sunil Gupta and Rachna Tahilyani
      In the fall of 2019, the CEO and MD of Hindustan Unilever (HUL), India’s largest fast-moving consumer goods (FMCG) firm, is wondering what to do about their experiments to digitize distribution. Despite three years of intense efforts, their apps to empower retailers... View Details
      Keywords: Experimentation; Digital Transformation; Digital Strategy; Leading Change; Distribution; Decisions; Organizational Change and Adaptation; Consumer Behavior; E-commerce; Competition; Performance; Business Strategy; Marketing; Transformation; Consumer Products Industry; Asia; India
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      Gupta, Sunil, and Rachna Tahilyani. "Reimagining Hindustan Unilever (A)." Harvard Business School Case 524-020, August 2023.
      • August 2023
      • Supplement

      Reimagining Hindustan Unilever (B)

      By: Sunil Gupta and Rachna Tahilyani
      In April 2023, as the CEO and MD of Hindustan Unilever (HUL), India’s largest fast-moving consumer goods (FMCG) firm, prepared to hand over the firm’s reins to his successor, he proudly reflected on the last decade. His quest to digitally transform HUL into an... View Details
      Keywords: Experimentation; Digital Transformation; Digital Strategy; Leading Change; Organizational Change and Adaptation; Business Strategy; Marketing; Performance; Competition; E-commerce; Consumer Behavior; Transformation; Distribution; Decisions; Consumer Products Industry; Asia; India
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      Gupta, Sunil, and Rachna Tahilyani. "Reimagining Hindustan Unilever (B)." Harvard Business School Supplement 524-022, August 2023.
      • July 2023 (Revised May 2024)
      • Case

      India Stack: Digital Public Infrastructure for All

      By: Tarun Khanna, Anjali Raina and Rachna Chawla
      Amitabh Kant, India Sherpa in the year of India's G20 Presidency, and Nandan Nilekani iconic tech entrepreneur wondered how to share India's model of digital public infrastructure to build social and economic inclusion. 'India Stack', the umbrella term for India's DPI... View Details
      Keywords: Digital Transformation; Information Technology; Technology Adoption; Developing Countries and Economies; Economic Growth; Information Technology Industry; Information Technology Industry; Information Technology Industry; Asia; South Asia; India
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      Khanna, Tarun, Anjali Raina, and Rachna Chawla. "India Stack: Digital Public Infrastructure for All." Harvard Business School Case 724-371, July 2023. (Revised May 2024.)
      • 2023
      • Working Paper

      Learning to Use: Stack Overflow and Technology Adoption

      By: Daniel Jay Brown and Maria P. Roche
      In this paper, we examine the potential impact of Q&A websites on the adoption of technologies. Using data from Stack Overflow – one of the most popular Q&A websites worldwide – and implementing an instrumental-variable approach, we find that users whose questions... View Details
      Keywords: Technology Adoption; Knowledge Sharing
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      Brown, Daniel Jay, and Maria P. Roche. "Learning to Use: Stack Overflow and Technology Adoption." Harvard Business School Working Paper, No. 24-001, July 2023.
      • July 2023
      • Case

      Schuberg Philis: From Success to Significance

      By: Thomas J. DeLong and Daniela Beyersdorfer
      The founders of Dutch professional services firm Schuberg Philis, and the new leadership team entrusted with the day-to-day management, must set the path forward in 2019. The company has grown into a €70 million revenue strong IT provider with top ranks in the... View Details
      Keywords: Management Succession; Growth Management; Change Management; Transformation; Mission and Purpose; Leadership; Leading Change; Information Technology Industry; Information Technology Industry; Europe; Netherlands
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      DeLong, Thomas J., and Daniela Beyersdorfer. "Schuberg Philis: From Success to Significance." Harvard Business School Case 424-012, July 2023.
      • July 2023
      • Supplement

      Schuberg Philis: From Success to Significance (B)

      By: Thomas J. DeLong and Daniela Beyersdorfer
      Three years into their “Ambition” growth plan, in 2022, the management team of Dutch professional service firm Schuberg Philis is taking stock. The global COVID-19 pandemic and other headwinds required adjustments to their growth targets, but they believe that their... View Details
      Keywords: Management Succession; Growth Management; Change Management; Transformation; Mission and Purpose; Leadership; Leading Change; Information Technology Industry; Information Technology Industry; Europe; Netherlands
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      DeLong, Thomas J., and Daniela Beyersdorfer. "Schuberg Philis: From Success to Significance (B)." Harvard Business School Supplement 424-013, July 2023.
      • July 2023
      • Article

      Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations

      By: Dawson Beutler, Alex Billias, Sam Holt, Josh Lerner and TzuHwan Seet
      In 2001, Dean Takahashi and Seth Alexander of the Yale University Investments Office developed a deterministic model for estimating future cash flows and valuations for the Yale endowment’s private equity portfolio. Their model, which is simple and intuitive, is still... View Details
      Keywords: Forecasting and Prediction; Investment Portfolio; Analytics and Data Science
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      Beutler, Dawson, Alex Billias, Sam Holt, Josh Lerner, and TzuHwan Seet. "Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations." Journal of Portfolio Management 49, no. 7 (July 2023): 144–158.
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