Research Corner

Scheller's AI and Business research ecosystem bridges cutting-edge technology and measurable business impact through faculty scholarship, classroom innovation, and applied student work.

Inside the Classroom

Applied learning in courses and projects emphasizes practical AI use, critical thinking, and human judgment. Students build capabilities through hands-on assignments, simulations, and business use cases.

AI-integrated coursework across core and elective offerings
Real-world assignments using modern AI tools in analytics and decision workflows
Focus on responsible use, limitations, and evaluation of AI outputs

Student Projects and Alumni Connections

Undergraduate and graduate teams apply AI to operational and customer challenges, while alumni contribute through mentorship, guest lectures, and career panels that connect classroom learning to enterprise practice.

News, Conferences, and Executive Pathways

The Center tracks current stories, practitioner conferences, and executive education activity at the AI-business intersection so partners can engage with timely evidence and leading practices.

Scheller Faculty Experts in AI

Our faculty advance the knowledge around AI through cutting-edge research that bridges the gap between innovative technology and business impact. Drawing from diverse disciplines such as strategy and innovation, accounting, law, finance, and IT management, they explore how AI transforms decision-making, strategy, and organizational performance.

Maryam Alavi, IT Management

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Strategic Upskilling of Knowledge Workers in the Generative AI Era (Under Review)
How Different Fields Are Using GenAI to Redefine Roles (Published Papers)
How to Navigate the Impacts of GenAI on Jobs (Working Papers)