Wharton Stories: Industry

“So much of being an entrepreneur is being scrappy, learning off the cuff, and making it work, which is hard to teach in a classroom. But at Wharton, I became fluent in the language of business.” – Abby Greensfelder, WG’02

From Creative to CEO: How Wharton Unlocks the Business of Entertainment

“The beauty of Halloween is that there are so many different ideas and ways to deliver on the execution. Every year people are more imaginative, more creative, more humorous, more topical…so many great ideas, and so perfect for Halloween.” – Steven Silverstein, WG’85, CEO of Spirit Halloween and Spencer’s Gifts

Tricks, Treats, Retail Feats: Wharton’s Halloween Insights

“My advice for prospective EMBA students is to focus on relationship-building as opposed to grades. When you go to your ten-year Wharton reunion, people remember the time you spent together and what you gave back to your network.” – Anand Raghavan, WG’13

From Engineer to Entrepreneur: Wharton’s Powerful Career Impact 

“The faculty are not just experts in their fields; they’re also mentors who want to see their students succeed.” – Brandon Cohen, WG’18

How Two Wharton EMBA Alums Constructed New Business

“At Cypher, we are always on the cutting edge of what’s happening, and that’s what continues to enable us to stay ahead.” – Sarah Hammer, Esq., Founder and Executive Director of Wharton’s Cypher Accelerator

Wharton’s Cypher Accelerator is at the Forefront of FinTech

The ESG Initiative’s Head of Research Maoz (Michael) Brown and Prof. Katherine Klein discuss their findings on the surprising trade-offs of “gender centrality” in investing.

Research Spotlight: When Gender Is Central

“Yes, Wharton is a ton of work. But it’s 100% worth it.” – Marcio Oliveira, WG’22

How Wharton’s EMBA Program Is Helping This Student Hit the Ground Running at Peloton

The annual Women in Data Science conference is only one of the ways in which Wharton is forging a path for women in the industry.

Opening Doors and Closing Gaps for Women in Data Science

Hamsa Bastani, assistant professor of operations, information, and decisions at Wharton, discusses key findings from her research on how deep web data and machine learning can help law enforcement agencies investigate and intervene in human trafficking.

Research Spotlight: Prof. Hamsa Bastani on Using Machine Learning To Combat Human Trafficking

A team of students in the Analytics Accelerator were tasked with helping Zillow find new business opportunities in “dreamers,” or site visitors who window shop without ever clicking through to buy or rent.

Finding Business Opportunities in Zillow’s “Dreamers”