Tap into Emerging AI Talent to Solve Real-World Challenges

Through a Wharton AI & Analytics Initiative (WAIAI) Student Research Partnership, your organization gains access to talented student teams working alongside faculty and industry mentors to tackle complex challenges in artificial intelligence, machine learning, and business analytics.

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Why Engage in a Student Research Partnership?

Innovative Solutions for Your Business

Collaborate with a dedicated team of Wharton and Penn students who apply cutting-edge AI and data science techniques to real-world problems, delivering actionable insights and solutions tailored to your business needs.

Access to Top AI & Analytics Talent

Work with highly skilled students selected through the Wharton AI & Analytics Accelerator, a competitive program that pairs companies with emerging talent trained in AI, data science, and business strategy.

Faculty & Industry Mentorship

Student teams receive guidance from leading Wharton faculty and experienced industry professionals, ensuring research is rigorous, innovative, and aligned with business objectives.

How it Works

Join the AI & Analytics Accelerator
Secure your spot by becoming a Student Research Partner.

Scope Your Project
Identify the business challenge, objectives, and datasets.

Prepare and Share Data
Securely transfer data or provide access to your company’s secure environment.

Launch Your Project
Meet your student team and discuss project objectives and expectations.

Meet Regularly
Attend weekly meetings with your student team and Wharton mentor.

Participate in the Summit
Experience student presentations with insights, models, and solutions.

Evaluate Impact
Discuss project recommendations and business implications with the Wharton AI & Analytics Initiative.

Projects start at
$75,000

Current Student Research Partners

How IKEA is Leveraging AI & Analytics for Strategic Innovation

IKEA Retail (Ingka Group) collaborated with the Wharton AI & Analytics Accelerator to explore AI-driven solutions for strategic decision-making. A team of Wharton and Penn students analyzed IKEA’s business data, developing machine learning models to enhance operational efficiency and improve customer experience. The project resulted in data-backed recommendations for streamlining supply chain operations and optimizing inventory management, demonstrating the real-world impact of AI in retail.

Spring 2025 AI & Analytics Accelerator Projects

Centerwell Logo

Fraud, Waste, and Abuse Detection

Project Details

CenterWell aims to develop a model that leverages AI technologies to detect patterns in their data that may indicate potential cases of fraud, waste, and abuse.

google-logo

Marketing Mix Models (MMMs)

Project Details

Google aims to focus on enhancing Marketing Mix Models (MMMs) to estimate longer-term effects of advertising by incorporating new response variables, such as brand value indicators like Google search queries. It also aims to create more dynamic, granular MMMs with daily-level updates, providing improved insights and scalability for long-term impact assessment and model implementation.

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Automate Client Onboarding

Project Details

RxSense’s first project aims to automate client onboarding by developing a template based on historical claims data from past clients, streamlining the process of designing plans for prescription needs. This approach minimizes manual effort, enabling faster, more accurate, and efficient onboarding.

Rxsense Logo

Analyze Pharmaceutical Demand Trends

Project Details

RxSense’s second project aims to analyze pharmaceutical demand trends, such as the 2023-2024 spike in Ozempic usage, to better forecast pricing and client cost trends. This insight will enable RxSense to optimize pricing strategies and offer cost-saving drug-switching alternatives to members.

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Develop an AI tool to Predict Sales Trends

Project Details

Spencer’s Gifts seeks to develop an AI tool to predict sales trends for t-shirts and other trendy items by analyzing historical and current data. The tool will provide weekly reports to the Planning Team, highlighting projected changes in sales, including the magnitude, timing, and revenue impact of these shifts.

Additional Partnership Advantages

Dedicated WAIAI Corporate Engagement Officer to facilitate connections and maximize partnership value

Exclusive networking with Wharton faculty, WAIAI Members, Corporate Research Partners, and Penn/Wharton students actively engaged in AI and analytics research

Be among the first to access AI and analytics industry reports, white papers, and research briefings

Priority access to WAIAI’s flagship conferences and convenings, faculty research symposiums, specialized workshops, members-only engagements, and faculty-led webinars

Insights on ethical AI governance and policy from leading Wharton faculty straight to your inbox

Recognition as a Corporate Partner on WAIAI’s website

Opportunities to engage as judges, panelists, or speakers at WAIAI high-impact events

Invitation to be a sponsor of WAIAI events and programs

Access to a private LinkedIn group for direct engagement with WAIAI Members, Corporate Research Partners, Wharton faculty, and industry experts

Get Started

Accelerate your company’s AI and analytics capabilities while supporting the next generation of data-driven business leaders. Complete the form, and a dedicated WAIAI Corporate Engagement Officer will be in touch to discuss partnership opportunities.

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