USF Data Science & Artificial Intelligence Speaker Series

4.6•1280 beoordelingen

San Francisco, CA, US

Over ons

The University of San Francisco Data Science & Artificial Intelligence Speaker Series is produced by the Data Institute. This group brings researchers and practitioners together with students in the MS in Data Science and Artificial Intelligence graduate program, faculty, and interested members of the public to discuss topics of interest in analytics and data science.

Talks take place in person on Fridays from 12:30–2:00 pm at the USF Downtown San Francisco campus, located at 101 Howard Street in the East Cut neighborhood, at the heart of San Francisco’s downtown innovation corridor. We encourage attendees to bring their lunch and join us for these mid-day conversations.

Talk recordings are made available subject to speaker permission. You can find the recorded talks at https://www.youtube.com/channel/UCN0kf0sI01-FXPZdWAA-uMA

Aankomende evenementen

Alles weergeven

You’re Not Late, You’re Early: Career Value in the AI Era
02 okt 2026 12:30 PDT
101 Howard St, University of San Francisco - Downtown Campus, San Francisco, CA 94105, San Francisco, Ca, US
We are excited to welcome Josh Drean for a thought-provoking conversation on AI and Data Ethics.

In this session, Josh will explore how artificial intelligence is reshaping the workforce and why today’s students may be more prepared for this shift than they realize. Drawing from his upcoming book, After the Jobs Are Gone: How to Prove Your Value in the Post-Employment Era, he will discuss how adaptability, contribution, and portable skills are becoming increasingly important in a rapidly changing world.

Josh is a three-time startup founder, author, and workforce futurist. He is the co-author of Employment is Dead (Harvard Business Review Press) and co-founder of Decentrive, a contribution-based work ecosystem. His work on artificial intelligence and the future of work has been featured in Harvard Business Review, Forbes, Fast Company, and MIT Technology Review.

Join us for an engaging discussion on the future of work and what it means to create value in the age of artificial intelligence.
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