Featured Research

Faculty Research Project

Subscription Game Recommendation

Company: Electronic Arts │ Industry: Video Gaming

Academic researchers used EA’s purchase, play, and upgrade data for individual players to help the global gaming company predict future purchase behavior and estimate customer lifetime value.

Analytics Accelerator

Customers of A Feather
Engage Together

Company: NeuroFlow  │  Industry: Healthcare, Technology

A multidisciplinary student team used k-means clustering and a random forest model to detect users with a low likelihood of retention and identify which product designs, promotional offerings, or custom reminders, would potentially retain those customers.

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Thought Leadership

Artificial Intelligence Risk & Governance

By: Artificial Intelligence/Machine Learning Risk & Security Working Group (AIRS)

As financial services firms evaluate the potential applications of artificial intelligence (AI), for example: to enhance the customer experience and garner operational efficiencies, Artificial Intelligence/Machine Learning (AI/ML) Risk and Security (“AIRS”) is committed to furthering this dialogue and has drafted the following overview discussing AI implementation and the corresponding potential risks firms may wish to consider in formulating their AI strategy.

Case Studies & White Papers

AIAB’s case studies and white papers showcase how our corporate partners have benefited through participating in our student and faculty research projects.

White man at a laptop surrounded my data visualizations

Rethinking Analytics – Dealing with the K

Analytics is increasingly becoming the backbone of decision making across functional areas and industries the world over. We believe that this capability, which is often a key differentiator, is set to play a significant role in the new economic order established in the aftermath of the Covid-19 pandemic.

The Markets in Motion Study: What Every CMO Needs to Know to Make Marketing Decisions During The Covid-19 Recession

This study is designed to help CMOs learn from the past and make the best possible decisions about where, how, and when to invest to maximize firm revenues, profits, and share.

Voice Analytics and Artificial Intelligence: Future Directions for a post-COVID world

As the adoption of IoT and voice-enabled technology has become mainstream, we see a post-COVID world of innovation in voice technology products and analytics, and disruption in traditional growth of ecosystem to support it.

Research Guidelines and FAQ’s

Interested in working on an academic research project? Review our submission guidelines for ways to make your proposal clear, concise, and worded in a way that someone unfamiliar with the technical aspects of modeling can understand.


Available Data

Supplement your academic research with real-world datasets, working alongside Wharton AI & Analytics for Business and Corporate Partners to solve complex business problems through innovative research projects.

Search All Research

Wharton AI & Analytics for Business is dedicated to sharing the knowledge created by our extensive network of researchers. Search below to access our archive of published papers, student research projects, case studies, and both current and past research opportunities. Search by industry, company, project type, etc.