Navigating Generative AI’s Early Years – AI Adoption Report

Promotional graphic for "Growing Up: Navigating Gen AI's Early Years," an AI adoption report by Wharton and GBK Collective. Features a gradient blue and purple background with hexagonal patterns.

AI at Wharton is thrilled to have partnered with GBK Collective to produce Growing Up: Navigating Gen AI’s Early Years. This is an extensively researched report that provides an in-depth analysis of the state of Generative AI (Gen AI) adoption, its business applications, and future prospects. Written by Jeremy Korst, Partner, GBK Collective, Stefano Puntoni, Faculty Co-Director of AI at Wharton, and Mary Purk, former Executive Director of AI at Wharton, this report comes at a critical moment in AI’s evolution, as companies transition from initial excitement to deeper experimentation and efforts to prove the Return on Investment (ROI).Read More

Designing an AI-Ready Framework for Chief Data Officers to Maximize AI Value

The image is a promotional graphic for a collaboration between the Wharton School of the University of Pennsylvania and Informatica, focusing on AI initiatives. It features the logos of both entities on a blue background.

On June 6th, 2024, AI at Wharton partnered with Informatica to bring dozens of industry leaders and Chief Data Analytics Officers (CDAOs) to Wharton’s campus for a collaborative brainstorming session with many of our leading AI academics. Their goal was to design a framework for companies and their CDOs to reference in order to responsibly and effectively leverage generative AI and increase value for their firms. We are thrilled to now publish the result of their combined efforts through a new white paper: “Designing an AI-Ready Data Framework for CDOs to Maximize AI Value.”Read More

AI Tools Come with Risks. This Wharton Professor is Teaching ‘Accountable AI.’

Accountable AI artwork v11 full size

(Outlet: The Philadelphia Inquirer) Kevin Werbach, a professor at the University of Pennsylvania’s Wharton School, is leading a course on “accountable AI” to address the risks and limitations of artificial intelligence. The course aims to help businesses understand and mitigate AI-related issues, including bias and significant errors. Werbach emphasizes the importance of creating effective accountability frameworks within organizations to manage AI systems responsibly.Read More