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Show Results For
- All HBS Web
(1,476)
- News (192)
- Research (1,057)
- Events (20)
- Multimedia (8)
- Faculty Publications (656)
- August 2018 (Revised October 2020)
- Case
Tailor Brands: Artificial Intelligence-Driven Branding
By: Jill Avery
Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details
Keywords: Startup; Services; Artificial Intelligence; Machine Learning; Digital Marketing; Brand Management; Big Data; Internet Marketing; Analytics; Marketing; Marketing Strategy; Brands and Branding; Information Technology; Entrepreneurship; Venture Capital; Business Model; Consumer Behavior; AI and Machine Learning; Analytics and Data Science; Advertising Industry; Service Industry; Technology Industry; United States; North America; Israel
Avery, Jill. "Tailor Brands: Artificial Intelligence-Driven Branding." Harvard Business School Case 519-017, August 2018. (Revised October 2020.)
- 2021
- Working Paper
The Value of Descriptive Analytics: Evidence from Online Retailers
By: Ron Berman and Ayelet Israeli
Does the adoption of descriptive analytics impact online retailer performance, and if so, how? We use the synthetic difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we find an... View Details
Keywords: Descriptive Analytics; Big Data; Synthetic Control; E-commerce; Online Retail; Difference-in-differences; Martech; Internet and the Web; Analytics and Data Science; Performance; Retail Industry
Berman, Ron, and Ayelet Israeli. "The Value of Descriptive Analytics: Evidence from Online Retailers." Harvard Business School Working Paper, No. 21-067, November 2020. (Revised December 2021. Accepted at Marketing Science.)
- March 2020
- Supplement
People Analytics at Teach For America (B)
By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data. View Details
Keywords: Analytics; Human Resource Management; Data; Workforce; Hiring; Talent Management; Forecasting; Predictive Analytics; Organizational Behavior; Recruiting; Analytics and Data Science; Forecasting and Prediction; Recruitment; Selection and Staffing; Talent and Talent Management
Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (B)." Harvard Business School Supplement 420-086, March 2020.
- 03 Jun 2021
- News
Insurance to Mitigate the Risk of AI Systems Coming into View
- Research Summary
Overview
Paul is primarily interested in studying explainable machine learning (ML), digital transformation, and data science operations. He works on research that explores how stakeholders within organizations can use machine learning to make better decisions. In particular,... View Details
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
Chiara Farronato
Chiara Farronato is Glenn and Mary Jane Creamer Associate Professor of Business Administration in the Technology and Operations Management Unit at Harvard Business School, and co-Principal Investigator of the Platform Lab at the Digital... View Details
- November 28, 2017
- Editorial
Active Investing v.2.0
By: Gabriel Karageorgiou and George Serafeim
Keywords: Investment; Investing; Technology; Big Data; Quantitative Analysis; ESG; ESG (Environmental, Social, Governance) Performance; Sustainability; Analytics and Data Science
Karageorgiou, Gabriel, and George Serafeim. "Active Investing v.2.0." Pensions & Investments (online) (November 28, 2017).
- Teaching Interest
Overview
I am passionate about teaching across a number of topics, most recently Data Science and Probability. Details on my graduate teaching experience can be found on my personal webpage. View Details
- 16 Nov 2020
- Blog Post
Flatiron School: Reflections from Summer 2020
In the summer of 2020, HBS Career & Professional Development (CPD) partnered with Flatiron School to provide students with an opportunity to gain practical skills, statistics fundamentals, and real-life data View Details
Keywords: All Industries
Jeff Fossett
Jeff Fossett is a doctoral student in the Technology and Operations Management Unit at Harvard Business School. He is interested in economic and policy questions related to technology platforms and online marketplaces. Previously, Jeff was a member of the Data Science... View Details
Keywords: information technology industry
- August 2018 (Revised October 2019)
- Case
C3.ai—Driven to Succeed
By: Robert Simons and George Gonzalez
CEO Tom Siebel navigates his artificial intelligence (ai) startup through a series of pivots, market expansions, and even an elephant attack to become a leading platform ad service provider. The case describes his unusual management approach emphasizing employee... View Details
Keywords: Strategy Execution; Performance Measurement; Critical Performance Variables; Strategic Boundaries; Internet Of Things; Artificial Intelligence; Software Development; Big Data; Machine Learning; Business Startups; Management Style; Business Strategy; Performance; Measurement and Metrics; Organizational Culture; AI and Machine Learning; Digital Transformation; Applications and Software; Digital Marketing; Analytics and Data Science; Technology Industry; United States; California
Simons, Robert, and George Gonzalez. "C3.ai—Driven to Succeed." Harvard Business School Case 119-004, August 2018. (Revised October 2019.)
Himabindu Lakkaraju
Himabindu "Hima" Lakkaraju is an Assistant Professor of Business Administration at Harvard Business School. She is also a faculty affiliate in the Department of Computer Science at Harvard University, the Harvard Data Science Initiative, Center for Research on... View Details
- 27 Jul 2020
- Working Paper Summaries
Gender Inequality in Research Productivity During the COVID-19 Pandemic
Keywords: by Ruomeng Cui, Hao Ding, and Feng Zhu
Edward McFowland III
Edward McFowland III is an Assistant Professor in the Technology and Operations Management Unit at Harvard Business School. He teaches the first-year TOM course in the required curriculum.
Professor McFowland’s research interests – which lie at the... View Details
- TeachingInterests
Leading with People Analytics; HBS MBA Elective; 2021
- Teaching fellow for course on using data science to make decisions about people, such as hiring, firing, promotion, team composition, etc.
- Led weekly student review sessions teaching statistics and the R... View Details
- 2023
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial
intelligence and machine learning business applications. Although prior discussions
highlight advances in methods (along the dimensions of data, computing power, and
algorithms)... View Details
Keywords: Analytics and Data Science
Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
- January 2025
- Supplement
Hippo: Weathering the Storm of the Home Insurance Crisis (B)
By: Lauren Cohen, Grace Headinger and Sophia Pan
Rick McCathron, CEO of Hippo, was optimistic about the InsurTech's path to profitability after navigating the financial uncertainties of 2022. By bundling their home insurance services with third-parties and established insurance incumbents, Hippo was adopting a... View Details
Keywords: Fintech; Underwriters; Big Data; Homeowners' Insurance; Catastrophe Risk; Global Warming; Environment; Business Economics; Vertical Specialization; Bundling; Economies Of Scale; Business Model; Forecasting and Prediction; Climate Change; Environmental Sustainability; Green Technology; Technological Innovation; Natural Environment; Natural Disasters; Weather; Business Strategy; Competitive Advantage; Business Earnings; Insurance; Social Issues; Profit; Growth and Development Strategy; Insurance Industry; California; United States
Dennis Campbell
Dennis W. Campbell is currently the Dwight P. Robinson Jr. Professor of Business Administration at Harvard Business School. His research and teaching activities focus broadly on how management control systems can be designed to balance short-term strategy execution... View Details