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(1,037)
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Show Results For
- All HBS Web
(1,037)
- People (1)
- News (187)
- Research (673)
- Events (13)
- Multimedia (3)
- Faculty Publications (550)
- Career Coach
Yiwei Zhao
company, where she gained insights into machine learning development cycles. She can help students understand how tech companies of different stages recruit, what it’s like to build a career in tech, and how... View Details
- Profile
Lauren Booker
businesses across the firm for four years. "I loved the way the work supplemented what I learned in the classroom with the fundamentals from the corporate world," Lauren says. "It was a phenomenal training ground for... View Details
- 01 Jun 2001
- News
Eric C. Feagler: Against the Odds
Feagler’s interest. His favorite assignment was supervising 75 enlisted men responsible for maintaining the electronics and weapons systems. “Most aviators are unhappy unless they’re flying,” he says. “But for me, the pinnacle of my... View Details
- 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
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.
- Teaching Interest
Overview
By: V.G. Narayanan
I teach accounting to MBA students, executives, and Harvard Extension School students. I teach topics from both financial and managerial accounting. I also train professors in teaching by the case method. View Details
- March 2025 (Revised May 2025)
- Case
Xfund and Sam Altman: Finding Harvard's Best Generative AI Founders
By: Suraj Srinivasan
On May 1, 2024, Xfund Managing Partners Patrick Chung and Brandon Farwell, hosted a high-stakes venture pitch session designed to select one startup for a minimum $100,000 investment. This “Xperiment Stake” competition, dedicated to startups in the Generative AI... View Details
Keywords: AI and Machine Learning; Venture Capital; Innovation Leadership; Technological Innovation; Business Startups; Competition; Technology Industry; United States
Srinivasan, Suraj. "Xfund and Sam Altman: Finding Harvard's Best Generative AI Founders." Harvard Business School Case 125-090, March 2025. (Revised May 2025.)
- 15 Nov 2016
- News
Classroom Lessons Put Into Practice Abroad
McGee (MBA 1979) supervised the 12 teams deployed in the city, one of which worked with the local 13-store bakery chain, Benjamin. In the fall, the members of this team—Adam Demuyakor, Adam Gunter, Felix Jiang, Sasha Niemeyer, Sinem... View Details
- March–April 2025
- Article
Strategy in an Era of Abundant Expertise: How to Thrive When AI Makes Knowledge and Know-How Cheaper and Easier to Access
By: Bobby Yerramilli-Rao, John Corwin, Yang Li and Karim R. Lakhani
The AI era is in its early stages, and the technology is evolving extremely quickly. Providers are rapidly introducing AI "copilots," "bots," and "assistants" into applications to augment employees' workflows. Examples include GitHub Copilot for coding, ServiceNow... View Details
Keywords: AI; AI and Machine Learning; Performance Productivity; Experience and Expertise; Technology Adoption
Yerramilli-Rao, Bobby, John Corwin, Yang Li, and Karim R. Lakhani. "Strategy in an Era of Abundant Expertise: How to Thrive When AI Makes Knowledge and Know-How Cheaper and Easier to Access." Harvard Business Review 103, no. 2 (March–April 2025): 72–81.
- 09 Dec 2015
- Research Event
How Do You Predict Demand and Set Prices For Products Never Sold Before?
predict demand and set prices to maximize revenue of products that have no historical sales data? To that end, they set out to develop a pricing decision support tool that would use existing data to maximize revenue on new products. The researchers used View Details
- April 2024
- Case
Managing AI Risks in Consumer Banking
By: Suraj Srinivasan, Satish Tadikonda, Paul Dongha, Manoj Saxena and Radhika Kak
In early 2024, Ruth Jones, head of digital banking at Signa Bank, a (fictitious) European consumer bank, was thinking about how to best incorporate GenAI capabilities to improve efficiencies and create new ways to improve the customer experience. Where were the biggest... View Details
Keywords: Customer Relationship Management; AI and Machine Learning; Risk Management; Opportunities; Customization and Personalization; Banking Industry; Europe
Srinivasan, Suraj, Satish Tadikonda, Paul Dongha, Manoj Saxena, and Radhika Kak. "Managing AI Risks in Consumer Banking." Harvard Business School Case 124-093, April 2024.
- 08 Jan 2019
- First Look
New Research and Ideas, January 8, 2019
Purchase this case:https://hbsp.harvard.edu/product/119023-PDF-ENG Harvard Business School Case 119-024 Chateau Winery (B): Supervised Learning This case builds directly on “Chateau Winery (A).” In this... View Details
Keywords: Dina Gerdeman
- April 2025 (Revised May 2025)
- Case
Adobe: GenAI Opportunity or Threat?
By: Sunil Gupta, Rajiv Lal and Allison Ciechanover
In December 2022, Adobe CEO Shantanu Narayen faced a pivotal strategic decision due to the rapid rise of generative AI image models from OpenAI, Midjourney, and StabilityAI. Adobe, a leader in digital media and marketing software with a 40-year legacy of innovation and... View Details
Keywords: Customer Relationship Management; Ethics; AI and Machine Learning; Trust; Business Strategy; Technology Industry; San Jose
Gupta, Sunil, Rajiv Lal, and Allison Ciechanover. "Adobe: GenAI Opportunity or Threat?" Harvard Business School Case 525-052, April 2025. (Revised May 2025.)
- Student-Profile
Ta-Wei "David" Huang
management and using causal inference / machine learning tools to solve marketing problems.” It was this motivation that led him to pursue a Ph.D. Initially, David’s familiarity with HBS was limited to the... View Details
- 16 Nov 2020
- Blog Post
Flatiron School: Reflections from Summer 2020
Birchbox, Young Invincibles, Color Camp, Women 2.0 and Casper. WHAT WERE YOUR GOALS FOR THE SUMMER? Rocio Wu (MBA 2020): Learning python and machine learning had always been on... View Details
Keywords: All Industries
- 28 May 2019
- News
Ask the Expert: In Security
common than ever? —John Lacey (MBA 1981) YOUNG: Bulletproof security is not statistically possible, but we can minimize risk by developing layers of protection and proactive approaches that increase those layers. Adversarial machine View Details
- Web
Nicolas Weninger | MBA
problems became a fascination through visits to the London Science Museum as a child. The towering B747 aircraft landing gear at the entrance and roaring steam engine in the main hall not only piqued my interest in learning how these... View Details
- 2025
- Working Paper
Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs
By: Mengjie Cheng, Elie Ofek and Hema Yoganarasimhan
We study how media firms can use LLMs to generate news content that aligns with multiple objectives—making content more engaging while maintaining a preferred level of polarization/slant consistent with the firm’s editorial policy. Using news articles from The New York... View Details
Keywords: Large Language Models; Content Creation; Media; Polarization; Generative Ai; Direct Preference Optimization; AI and Machine Learning; News; Perspective; Digital Marketing; Policy; Media and Broadcasting Industry
Cheng, Mengjie, Elie Ofek, and Hema Yoganarasimhan. "Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs." Harvard Business School Working Paper, No. 25-051, April 2025.
- 19 Sep 2019
- News
Predicting Human Behaviors
its affiliation with the i-lab that Perceptive Automata attracted its cofounder, Avery Faller, a machine learning engineer who was completing his master’s studies in computational science and engineering at... View Details
Keywords: April White
- January 2025
- Teaching Note
AGENTS.inc: Pathways to Growth at an AI Startup
By: Frank Nagle and Susan Pinckney
Teaching Note for HBS Case No. 724-444. In 2024, AI agent startup company AGENTS.inc faced multiple strategic decisions that could shape the company’s ability to grow into the future AI agent market leader. View Details
- 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
Bussgang, Jeffrey J., and Carin-Isabel Knoop. "Fixie and Conversational AI Sidekicks." Harvard Business School Case 824-037, October 2023.