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Show Results For

  • All HBS Web  (1,225)
    • People  (1)
    • News  (246)
    • Research  (710)
    • Events  (17)
    • Multimedia  (9)
  • Faculty Publications  (595)
← Page 24 of 1,225 Results →
  • 2019
  • Book

Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

By: Karen G. Mills
Fintech, Small Business & the American Dream describes the needs of small businesses for capital and demonstrates how technology—novel data sources, artificial intelligence, machine learning—will transform the small business lending market. This market has been... View Details
Keywords: Fintech; Big Data; Data; Technology; Artificial Intelligence; Great Recession; Regulation; Innovation; Banks; Lending; Loans; Access To Capital; American Dream; Community Banking; Small Business Administration; Entrepreneur; Government; Public Policy; API; Policy Making; Small Business; Financing and Loans; Technological Innovation; Financial Crisis; Banks and Banking; Governing Rules, Regulations, and Reforms; Policy; AI and Machine Learning; Analytics and Data Science; United States
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Mills, Karen G. Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity. Palgrave Macmillan, 2019.
  • 24 Jun 2019
  • Blog Post

Chloe Ho, MBA 2019: Data-Driven and In Demand

mining and exploratory analysis, and familiarized herself with the ins and outs of various machine learning... View Details
Keywords: Technology
  • 15 Jan 2019
  • First Look

New Research and Ideas, January 15, 2019

this effect drives advisor reactions to one of the most widely recommended advice-seeking strategies: seeking advice from multiple advisors to leverage the wisdom of crowds. Advisors negatively judge and interpersonally distance... View Details
Keywords: Dina Gerdeman
  • 01 Jun 2022
  • News

June 2022 Alumni and Faculty Books

Really Takes to Thrive in the Age of Data, Algorithms, and AI By Paul Leonardi and Tsedal Neeley, Naylor Fitzhugh Professor of Business Administration Harvard Business Review... View Details
Keywords: Publishing Industries (except Internet); Information
  • 16 Oct 2018
  • First Look

New Research and Ideas, October 16, 2018

Methods By: Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres Abstract—We describe how to employ machine learning (ML) methods in theory development. Compared to... View Details
Keywords: Dina Gerdeman
  • January–February 2023
  • Article

Forecasting COVID-19 and Analyzing the Effect of Government Interventions

By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
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Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
  • Research Summary

Understanding the Limitations of Model Explanations

By: Himabindu Lakkaraju
The goal of this research is to understand how adversaries can exploit various algorithms used for explaining complex machine learning models with an intention to mislead end users. For instance, can adversaries trick these algorithms into masking their racial and... View Details
  • 26 Feb 2019
  • First Look

New Research and Ideas, February 26, 2019

https://www.hbs.edu/faculty/Pages/item.aspx?num=55668 2019 Proceedings of the Hawaii International Conference on System Sciences Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise... View Details
Keywords: Dina Gerdeman

    Tsedal Neeley

    Tsedal Neeley is the Senior Associate Dean and Chair of the MBA program at Harvard Business School, where she is the Naylor Fitzhugh Professor of Business Administration, Faculty Chair of the... View Details

    • 15 May 2018
    • First Look

    New Research and Ideas, May 15, 2018

    workplaces to better assure safe working conditions. The case includes a dataset and exercise. Purchase this case:https://cb.hbsp.harvard.edu/cbmp/product/618019 Harvard Business School Case 618-064 Improving Worker Safety in the Era of... View Details
    Keywords: Dina Gerdeman
    • 14 Feb 2022
    • Research & Ideas

    Curiosity, Not Coding: 6 Skills Leaders Need in the Digital Age

    their actions. They must learn to see their decisions and actions as working hypotheses that they can only validate by collecting feedback on their impact as expeditiously as possible. Leaders will be... View Details
    Keywords: by Linda A. Hill, Ann Le Cam, Sunand Menon, and Emily Tedards; Technology
    • 25 Apr 2023
    • HBS Seminar

    Bart Vanneste, UCL School of Management

      Jeremy Yang

      Jeremy Yang is an Assistant Professor of Business Administration in the Marketing Unit at Harvard Business School. He teaches Marketing in the MBA required curriculum. He develops data products for... View Details
      Keywords: advertising; media; entertainment; information; consumer products
      • 26 Mar 2019
      • First Look

      New Research and Ideas, March 26, 2019

      challenging areas. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=55885 Learning or Playing? The Effect of Gamified Training on Performance By: Buell, Ryan W., Wei Cai, and Tatiana... View Details
      Keywords: Dina Gerdeman
      • 09 Oct 2018
      • First Look

      New Research and Ideas, October 9, 2018

      process. Can algorithms, machine learning, and artificial intelligence help Tailor Brands outperform graphic designers and branding agencies in developing brand identities?... View Details
      Keywords: Dina Gerdeman
      • 05 Mar 2019
      • First Look

      New Research and Ideas, March 5, 2019

      organizations to leverage peer effects to improve the performance of their members. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=55775 Pre-published online, October 2018 The Oxford Handbook of Group and Organizational... View Details
      Keywords: Dina Gerdeman
      • 21 Aug 2018
      • First Look

      New Research and Ideas, August 21, 2018

      We implement a variety of machine learning methods to forecast daily sales. We find that using social media information results in statistically significant improvements in the out-of-sample accuracy of the... View Details
      Keywords: Dina Gerdeman
      • 21 Jun 2018
      • Video

      KPMA HBX Live Cracking the Data Aggregation Problem - Gabriel Eichler

      • 12 Mar 2019
      • First Look

      New Research and Ideas, March 12, 2019

      emergent machine of the sovereign state. Yet such strategic interaction rarely yielded a decisive victory for either the secular state or for religion. By tracing how state-builders engaged religious institutions, elites, View Details
      Keywords: Dina Gerdeman
      • March 2024 (Revised May 2025)
      • Case

      Governing OpenAI (A)

      By: Lynn S. Paine, Suraj Srinivasan and Will Hurwitz
      In late November 2023, OpenAI’s new board of directors took stock of the situation. The company, which sought to develop artificial general intelligence (AGI)—computer systems with capabilities exceeding human abilities—was looking to regain its footing after a chaotic... View Details
      Keywords: Artificial Intelligence; Board Of Directors; Board Decisions; Board Dynamics; Corporate Boards; Governance Changes; Governance Structure; Leadership Change; Legal Aspects Of Business; Nonprofit Governance; Strategy And Execution; Technological Change; AI and Machine Learning; Corporate Governance; Leadership; Management; Mission and Purpose; Technological Innovation; Governing Rules, Regulations, and Reforms; Governing and Advisory Boards; Resignation and Termination; Ethics; Nonprofit Organizations; Open Source Distribution; Partners and Partnerships; Technology Industry; San Francisco; United States
      Citation
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      Paine, Lynn S., Suraj Srinivasan, and Will Hurwitz. "Governing OpenAI (A)." Harvard Business School Case 324-103, March 2024. (Revised May 2025.)
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