Due to the overwhelming response from last year’s event that had 600+ in-person and virtual registrations and 12 amazing speakers including IBM, OpenAI, Netflix and Google, we are excited to host the 2nd annual IBM-sponsored Women in Data Science (WiDS) event in San Francisco!
The event will take place on Wednesday, 30th October from 3 PM in San Francisco. You can attend in person (limited seats) or virtually. The event is free and open to all. Register here.
Attendees will be entered to win a 1:1 session with the speakers! Bonus entries for referring others to the event.
Agenda:
2:15 PM - Registration (in person)
2:30 PM - Expo (in person)
3:00 PM - Welcome
3:10 PM - Executive Opening Keynote, by Laura Guio
3:20 PM - Leveraging Remote Sensing, Machine Learning, and Causal Inference to Digitally Assess Nature-Based Climate Solutions, by Katie Kaplan
3:35 PM - Quantum Machine Learning, by Meltem Tolunay
3:50 PM - Code, Chaos, and Founding Dreams: A Data Girl's Leap into Leadership, by Claudia Natasia
4:05 PM - Learning with Granite 3.0 and Unlearning for AI Safety by Nathalie Baraclado
4:15 PM - Break!
4:30 PM - Can We Simplify Analytics on Multimodal Data to Unlock Its Potential?, by Vishakha Gupta
4:45 PM - Building Intelligent Multi-Agent Systems, Sandi Besen
5:05 PM - From Policies to Protection: Building Al Safeguards for Election Integrity in 2024, by Cathy Dinas
5:20 PM - Panel discussion
5:50 PM - Closing remarks
6:00 PM - Networking (in person)
#AI #DataScience