Industry

AI in Our Lives: How Wharton Prepares Students to Lead in the Age of AI

A classroom setting featuring a person giving a presentation to a large group of students. The students are seated with laptops open, engaging with the lecture.

As artificial intelligence continues to shape industries, careers, and daily life, students at the Wharton School have a unique opportunity to explore AI from a behavioral science perspective in the course AI in Our Lives: The Behavioral Science of Autonomous Technology. Taught by Stefano Puntoni, Sebastian S. Kresge Professor of Marketing and Faculty Co-Director of AI at Wharton, this class examines the ways AI impacts individuals, organizations, and society, offering students a chance to critically assess both the benefits and risks of this rapidly evolving technology.…Read More

The Future Promise and Risk of Generative AI in Clinical Settings

A panel discussion on generative AI, featuring four speakers engaged in conversation. A banner for the Leonard Davis Institute of Health Economics is visible, as well as an audience in the foreground.

Generative AI has the potential to revolutionize healthcare, enhancing diagnostics and enabling more personalized patient care. However, experts at the recent Penn LDI AI in Health Care Conference highlighted significant ethical and practical challenges, including the need for transparency, fairness, and regulation in clinical AI applications. Hamsa Bastani, Faculty Co-Lead of the Wharton Healthcare Analytics Lab, emphasized rigorous testing to reduce bias and ensure AI-driven tools truly improve patient outcomes.…Read More

Student Spotlight – Emma Segerman and Naomi Korn Tackle the Sports Industry

Emma Segerman and Naomi Korn

Emma Segerman and Naomi Korn have a lot in common. Both are graduating seniors at the University of Pennsylvania – Segerman’s degree is in business analytics with a concentration in legal studies & business ethics, Korn’s is in philosophy, politics, and economics with a minor in statistics. Both women have a knack for numbers, and a deep love for sports. They were both involved with the Wharton Sports Analytics and Business Initiative (WSABI) as undergrads, and they both have jobs lined up in the sports industry waiting for them when they graduate.…Read More

Wharton Professor’s SCEPTRE Tool Helps Link Genetics to Disease Risk

Headshot of a person wearing glasses and a checkered shirt, smiling, with the Wharton School''s logo and "Analytics at Wharton" text in the background.

It’s not often the case that statisticians have an advanced understanding of genomics, but it’s exactly this combination of expertise that has Eugene Katsevich, assistant professor of statistics and data science at the Wharton School, making waves with his team’s new software package, SCEPTRE. At its core, SCEPTRE is a free, easy-to-use statistical tool that biologists can utilize to uncover correlations between certain genetic variants and their impact on disease risk. Understanding these correlations can help scientists accelerate the speed, and improve the effectiveness, with which they are able to treat a number of diseases. …Read More

Wharton Sports Analytics Summer Research Lab – Student Spotlight

A group of five people standing in front of a large Philadelphia 76ers basketball logo, with some smiling and one giving a thumbs up.

For most students, the transition from spring to summer presents an opportunity to wrap up finals, close their textbooks, and enjoy a relaxing few months before starting back up again. That’s not quite the case for students in the Wharton Sports Analytics Research Lab (WSARL), a new offering from the Wharton Sports Analytics and Business Initiative (WSABI), created for select undergraduates at the University of Pennsylvania.…Read More