University of Penn students partnered with Hearst for the Spring 2024 AI & Analytics Accelerator. The group aimed to launch a curated marketplace to create a “Commerce in Content” experience to elevate their reader experience.…Read More
Join us for two events exploring the evolving world of AI. First, Ritcha Ranjan, Vice President of Microsoft Office Copilot Experiences, will lead a thought-provoking discussion on AI trends, impact, and opportunities in today’s fast-changing landscape. Then, participate in an interactive workshop with Linda Zhao, Professor of Statistics and Data Science at the University of Pennsylvania, and Xinyu Xie, Ph.D. Student at Penn. Through a real-world patent approval case study, this hands-on session will uncover practical applications of generative AI and data science.…Read More
The Wharton School of the University of Pennsylvania today announced a major investment to drastically scale its research and teaching capabilities in the areas of artificial intelligence and data science. Under the umbrella of the new Wharton AI & Analytics Initiative, the interdisciplinary endeavor will encompass curricular enhancements, investments to advance new research, collaboration between industry and academia, and open-source resources to help shape the direction of generative AI.…Read More
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
Analytics at Wharton spoke with David Reibstein, Catherine “Cait” Lamberton, Z. John Zhang, and, Martin P. Fritze about their research into the attitudes of consumers towards cryptocurrencies – whose true value is famously difficult to ascertain – and how those attitudes are reflected in the pricing of cryptocurrencies.…Read More
Unpacking what it takes to build and deploy a large language model reveals which players stand to gain the most — and where newer entrants might have the best prospects. Read the latest from the Wharton School’s Kartik Hosanagar and Carnegie Mellon University’s Ramayya Krishnan.…Read More
Hamsa Bastani, Faculty Co-Lead at the Wharton Healthcare Analytics Lab, is co-author of a recent research paper, Rethinking Fairness for Human-AI Collaboration, with Haosen Ge, Data Scientist, Analytics at Wharton and Osbert Bastani, assistant professor in the Department of Computer and Information Science at the University of Pennsylvania.…Read More
(Outlet: Time) Ethan Mollick, Associate Professor at the Wharton School and Academic Director, Wharton Interactive, challenges the apocalyptic focus on AI risks and emphasizes the immediate threats of misinformation, deep fakes, and AI proliferation. He highlights the need for organizations to make informed decisions about AI’s impact on work and learning, emphasizing it requires thoughtful management and integration to avoid potential negative outcomes.…Read More
This month, we spoke with Angel (Tsai-Hsuan) Chung, a second-year PhD student in Wharton’s Operations, Information and Decisions (OID) Department, about her work in Sierra Leone on optimizing health supply chains with decision-aware machine learning…Read More
In Analytics at Wharton’s Research Spotlight series, we spoke with Homa Hosseinmardi, a research scientist at the University of Pennsylvania’s Computational Social Science Lab, about her recent study, “Causally Estimating the Effect of YouTube’s Recommender System Using Counterfactual Bots” to learn more about the social platform. …Read More
