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  • All HBS Web  (1,481)
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    • News  (449)
    • Research  (506)
    • Events  (7)
    • Multimedia  (32)
  • Faculty Publications  (154)
← Page 19 of 1,481 Results →
  • 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
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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.)
  • January 2022 (Revised November 2023)
  • Supplement

Uber in China (C): The Cost of Success for Didi

By: William C. Kirby and Noah B. Truwit
On June 30, 2021, ride-hailing giant Didi Chuxing (Didi) raised $4.4 billion in its initial public offering (IPO) on the New York Stock Exchange (NYSE), the largest IPO of a Chinese company listed on an American exchange since Alibaba raised $25 billion in 2014.... View Details
Keywords: Uber; Didi Chuxing; Start-up Growth; Regulation; Ride-sharing; Transportation; Business Startups; Business and Government Relations; Cross-Cultural and Cross-Border Issues; Growth and Development; Policy; Competition; Laws and Statutes; Transportation Industry; Technology Industry; China
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Kirby, William C., and Noah B. Truwit. "Uber in China (C): The Cost of Success for Didi." Harvard Business School Supplement 322-068, January 2022. (Revised November 2023.)
  • August 2017 (Revised August 2018)
  • Case

Busbud: Building a Data Company

By: Srikant M. Datar, Alistair Croll and Caitlin N. Bowler
The case features the work of LP Maurice (HBS '08) as he decides to take on the fragmented bus travel industry and launch an online business that aggregates and shares bus schedules for routes around the world. His first challenge: finding that the data he needs is... View Details
Keywords: Data Science; Analytics and Data Science; Business Startups; Knowledge Acquisition; Customers; Measurement and Metrics; Transportation Industry
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Datar, Srikant M., Alistair Croll, and Caitlin N. Bowler. "Busbud: Building a Data Company." Harvard Business School Case 118-011, August 2017. (Revised August 2018.)
  • 2022
  • Article

A Human-Centric Take on Model Monitoring

By: Murtuza Shergadwala, Himabindu Lakkaraju and Krishnaram Kenthapadi
Predictive models are increasingly used to make various consequential decisions in high-stakes domains such as healthcare, finance, and policy. It becomes critical to ensure that these models make accurate predictions, are robust to shifts in the data, do not rely on... View Details
Keywords: AI and Machine Learning; Research and Development; Demand and Consumers
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Shergadwala, Murtuza, Himabindu Lakkaraju, and Krishnaram Kenthapadi. "A Human-Centric Take on Model Monitoring." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 10 (2022): 173–183.
  • 02 Jul 2019
  • Blog Post

Summer Listening - HBS Podcasts to Take to the Beach

faculty discussing cases they’ve written and the lessons they impart. If the Key to Business Success is Focus, Why Does Amazon Work?Harvard Business School professor Sunil Gupta explores the infiltration of Amazon into dozens of industries including web services,... View Details
  • 2023
  • Working Paper

An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods
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Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
  • 16 Oct 2019
  • Research & Ideas

Read Our Most Popular Stories of the Quarter

What stories were readers like you diving into this summer on HBS Working Knowledge? Your interests varied dramatically, everything from how researchers use machine learning technology to predict CEO performance to the power of rituals in... View Details
Keywords: by Sean Silverthorne

    Lynda M. Applegate

    Lynda M. Applegate is a Baker Foundation Professor at HBS and is Chair of the Advisory Committee for Harvard University’s Masters Degree of Liberal Arts in Finance and Management at the Harvard University Extension School.  She has also played a... View Details

    • 11 Nov 2020
    • Research & Ideas

    How Hackathons Help Decide Platform Winners and Losers

    tremendous way for developers to learn quickly, and for both developers and technology companies to reap real benefits.” About the author Michael Blanding is a writer based in Boston. [Image: gorodenkoff] Related Reading 6 Ways That... View Details
    Keywords: by Michael Blanding; Technology
    • 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.)
    • 18 Jul 2017
    • First Look

    First Look at New Research and Ideas, July 18, 2017

    case:https://cb.hbsp.harvard.edu/cbmp/product/817107-PDF-ENG Harvard Business School Case 617-034 edaixi (eWash): Digital Transformation of Laundry Services (A) Founded in 2013 as a laundry service featuring online ordering for home... View Details
    Keywords: Sean Silverthorne
    • Profile

    Brittani Rettig

    blogging has led to other opportunities to share my healthy tips and inspirational stories on major media outlets like Good Morning Texas, Sheryl Sandberg's Lean In online community, and on Greatist.com. In addition to the blog, I have... View Details
    Keywords: Consulting; Services; Health Care
    • 05 Sep 2008
    • What Do You Think?

    Is Case Method Instruction Due for an Overhaul?

    conviction," and foster the realization "that life is filled with ambiguity." Tony Prehn pointed out that "The case study method ... is also an organic learning tool that updates itself as business environments and... View Details
    Keywords: by Jim Heskett; Education
    • 2019
    • Working Paper

    Using Technology to Augment Professionals, Instead of Replacing Them, for Innovative Problem Solving

    By: Hila Lifshitz - Assaf, Felicia Ng, Aniket Kittur and Robert Kraut
    While in some technological and scientific areas innovation is flourishing, in others it is stalling, leaving important problems unsolved for decades. One explanation is professionals’ limitations as problem solvers, as accumulating depth of knowledge enhances one’s... View Details
    Keywords: Innovation; Expertise; Future Of Work; Crowdsourcing; Artificial Intelligence; Problem Solving; Professionalism; Experience and Expertise; Collaborative Innovation and Invention; Problems and Challenges; Research and Development
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    Lifshitz - Assaf, Hila, Felicia Ng, Aniket Kittur, and Robert Kraut. "Using Technology to Augment Professionals, Instead of Replacing Them, for Innovative Problem Solving." Working Paper, March 2019.
    • August 2018 (Revised September 2018)
    • Case

    LendingClub (A): Data Analytic Thinking (Abridged)

    By: Srikant M. Datar and Caitlin N. Bowler
    LendingClub was founded in 2006 as an alternative, peer-to-peer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns... View Details
    Keywords: Data Science; Data Analytics; Investing; Loans; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction; Business Model
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    Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (A): Data Analytic Thinking (Abridged)." Harvard Business School Case 119-020, August 2018. (Revised September 2018.)
    • Web

    Publications - Faculty & Research

    Marketers who... View Details Keywords: AI and Machine Learning ; Brands and Branding ; Product Marketing ; Consumer Behavior ; Attitudes Citation Register to Read Related De Freitas, Julian. "Don’t Let an AI Failure Harm Your Brand."... View Details
    • Teaching Interest

    Overview

    By: Peter Tufano
    Tufano is the convener for an innovative global doctoral reading group, The Financial Economics of Climate and Sustainability (FECS). This novel course, taught with professors from Yale, Columbia, Stanford, Texas, Imperial, NYU, Mannheim, and Oxford brings together... View Details
    • Program

    Developing Yourself as a Leader—Virtual

    Summary As high-performing emerging leaders develop their leadership style, it is imperative to have the skillset and knowledge to gain influence and increase impact across an organization. This virtual program will arm you with a number of actionable View Details
    • 16 Jun 2020
    • Blog Post

    Delivering Solutions During a Crisis with Hans Kristian Furuseth (MBA 2019)

    When Hans Kristian Furuseth (MBA 2019) arrived at Harvard Business School in 2017, his goals were clear. He wanted to build the skills necessary to be a leader who makes a difference in the world. Now as CEO of Farmasiet.no, Norway’s largest View Details
    • 30 Oct 2018
    • First Look

    New Research and Ideas, October 30, 2018

    Developing Theory Using Machine Learning Methods By: Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres Abstract—We describe how to employ machine learning (ML) methods in theory development. Compared... View Details
    Keywords: Dina Gerdeman
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