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Publications

Publications

Filter Results: (78) Arrow Down
Filter Results: (78) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (78)
    • News  (12)
    • Research  (44)
    • Events  (3)
    • Multimedia  (1)
  • Faculty Publications  (38)

Show Results For

  • All HBS Web  (78)
    • News  (12)
    • Research  (44)
    • Events  (3)
    • Multimedia  (1)
  • Faculty Publications  (38)
← Page 3 of 78 Results →

    Balancing Risk and Reward: An Automated Phased Release Strategy

    Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases... View Details
    • 08 May 2025
    • HBS Seminar

    Ramesh Johari, Stanford

    • 2023
    • Article

    Balancing Risk and Reward: An Automated Phased Release Strategy

    By: Yufan Li, Jialiang Mao and Iavor Bojinov
    Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a... View Details
    Keywords: Product Launch; Mathematical Methods; Product Development
    Citation
    Read Now
    Related
    Li, Yufan, Jialiang Mao, and Iavor Bojinov. "Balancing Risk and Reward: An Automated Phased Release Strategy." Advances in Neural Information Processing Systems (NeurIPS) (2023).
    • 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
    • Research Summary

    Overview

    By: Iavor I. Bojinov
    Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
    • Research Summary

    Overview

    Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
    • 07 Jul 2022
    • HBS Case

    How a Multimillion-Dollar Ice Cream Startup Melted Down (and Bounced Back)

    Might Also Like: Why Digital Is a State of Mind, Not Just a Skill Set Tech Hubs: How Software Brought Talent and Prosperity to New Cities Is A/B Testing Effective? Evidence from 35,000 Startups Related... View Details
    Keywords: by Pamela Reynolds
    • Web

    Online Business Analytics Course | HBS Online

    Quantify the evidence in favor of or against your hypothesis in order to make managerial decisions. Highlights Hypothesis Testing Interpreting A/B Tests Show Hide Details... View Details
    • 29 Nov 2022
    • Research & Ideas

    Is There a Method to Musk’s Madness on Twitter?

    and Prosperity to New Cities Is A/B Testing Effective? Evidence from 35,000 Startups Feedback or ideas to share? Email the Working Knowledge team at hbswk@hbs.edu. Image: iStockphoto/hapabapa View Details
    Keywords: by Christina Pazzanese, Harvard Gazette; Technology
    • 16 May 2023
    • In Practice

    After Silicon Valley Bank's Flameout, What's Next for Entrepreneurs?

    Like: Why Digital Is a State of Mind, Not Just a Skill Set Tech Hubs: How Software Brought Talent and Prosperity to New Cities Is A/B Testing Effective? Evidence from 35,000 Startups Feedback or ideas to... View Details
    Keywords: by Avery Forman; Technology; Financial Services
    • 10 Feb 2020
    • In Practice

    6 Ways That Emerging Technology Is Disrupting Business Strategy

    on master plans and involved time horizons measured in decades. Now, online platforms, algorithms, and ubiquitous data allow firms to test these decisions quickly, sometimes in a matter of months or weeks. Recent work by myself and... View Details
    Keywords: by Danielle Kost
    • Web

    Business Fundamentals Course - CORe | HBS Online

    problems—from performing A/B testing on a website to using sampling to check warehouse inventory. Highlights Learn about the basics of population sampling. Start with the question you are trying to answer... View Details
    • Web

    Profiles - MBA

    Consumer Tech, Social Impact Tech Formative experience at the intersection of technology and business: A few years ago, I found out that my father was at risk for diabetic retinopathy—a condition that can cause vision loss in diabetics. Realizing that annual View Details
    • 21 Jun 2022
    • HBS Case

    Free Isn’t Always Better: How Slack Holds Its Own Against Microsoft Teams

    Set Tech Hubs: How Software Brought Talent and Prosperity to New Cities Is A/B Testing Effective? Evidence from 35,000 Startups Related reading from the Working Knowledge Archives Schumpeterian Competition... View Details
    Keywords: by Lane Lambert; Information Technology; Technology
    • 04 Dec 2019
    • Book

    Creating the Experimentation Organization

    scale to have a giant impact.” About the Author Michael Blanding is a writer based in Boston. [Image: ndresr] Related Reading At Booking.com, Innovation Means Constant Failure Jumpstarting Innovation: Using Disruption to Your Advantage Research Paper: Experimentation... View Details
    Keywords: by Michael Blanding
    • 06 Feb 2019
    • Blog Post

    7 Tips for a Successful Technology Venture Immersion

    mid-sized A/B testing SaaS company—for one year, then Uber for three years. I knew that I wanted to pursue an MBA to complement my undergraduate engineering degree. However, knowing that I wanted to return... View Details
    • 06 Sep 2022
    • Blog Post

    To Go-Go: A Foodtech Startup Serves Up Scale in Latin America

    operations, analyzing what is already available for delivery in target markets and mining its own data to see what works and what doesn’t. “We run A/B testing around price, around pictures, around menu... View Details
    • 29 May 2013
    • Blog Post

    It’s going to be a beautiful summer…

    to the technology side of things. Specifically, I am interning in the Direct (dot com) Marketing group and working on developing an A/B testing and targeting strategy for the company. In simple terms, View Details
    Keywords: Consumer Products / Retail
    • 9 AM – 10 AM EDT, 20 Mar 2019
    • HBS Online

    HBS Online Business Analytics

    Develop a data mindset and the analytical skills to interpret and communicate data. This course will demystify data analysis and equip you with concrete skills to apply in your work or further studies. Program Dates: March 20, 2019 - May 15, 2019 View Details
    • 29 Dec 2019
    • Research & Ideas

    Read Our Most Popular Research Stories of 2019

    buyouts on target firms and their workers vary greatly by deal type and market conditions. Experimentation and Startup Performance: Evidence from A/B Testing An analysis of the adoption of View Details
    Keywords: by Sean Silverthorne
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