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.
✨ Attendees will be entered to win a 1:1 session with the speakers! Bonus entries for referring others to the event. Make sure to use the invite feature in Luma so we can track your referrals.
Speakers:
Amazing Women in Data Science!
🎙️Laura Guio, GM & Managing Partner @ IBM Technology Consulting Alliance & Red Hat, California Senior State Executive
With over 20 years of cross functional expertise in the Hardware, Software and Technical Services, Laura will be our Executive Keynote speaker.
🎙️Sandi Besen, Applied AI Research @ IBM & Neudesic, an IBM Company - Building Intelligent Multi-Agent Systems
Sandi is an AI approachability champion, helping enterprises, startups and enthusiasts alike!
🎙️Claudia Natasia, CEO & Co-Founder @ Riley AI - Code, Chaos, and Founding Dreams: A Data Girl's Leap into Leadership
Passionate about making data-driven strategies collaborative and accessible, Claudia is using data to build adaptive AI that helps every single organization confidently decide what to build next, at Riley AI.
🎙️Katherine Kaplan, Senior Data Scientist and Founder @ Next Wave Carbon - Leveraging Remote Sensing, Machine Learning, and Causal Inference to Digitally Assess Nature-Based Climate Solutions
Katherine is passionate about applying data science to tackle climate change and driving innovation in the transition to a sustainable future.
🎙️Meltem Tolunay, Quantum Algorithm Engineer @ IBM Quantum - Quantum Machine Learning
Building on her graduate research, Dr. Meltem is currently working on enabling the implementation of quantum machine learning algorithms on hardware.
🎙️Narimane Hennouni, GenAI Solutions Architect @ Nvidia
Also a WomenTech Makers Ambassador, Narimane is always eager to learn more!
🎙️Cathy Dinas, ex-Chief of Staff @ Anthropic - From Policies to Protection: Building AI Safeguards for Election Integrity in 2024
Cathy is the former Chief of Staff to the Head of Policy and Head of Global Affairs at Anthropic, where she supported responsible AI development and governance.
🎙️Vishakha Gupta, CEO & Cofounder @ ApertureData - Can We Simplify Analytics on Multimodal Data to Unlock Its Potential?
Vishakha has extensive experience working on all things storage and systems, particularly visual data management challenges for analytics use cases.
What you can expect from this half day event:
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Learn about data science and AI and how they are used at other organizations
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Celebrate women! Elevate the extraordinary impact they are making in data science
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Network! Build your community and find like-minded people to help achieve your goals
Agenda
2:00 PM - Registration and Expo
3:00 PM - Welcome
3:10 PM - Executive Opening Keynote, by Laura Guio
3:20 PM - (T1) Leveraging Remote Sensing, Machine Learning, and Causal Inference to Digitally Assess Nature-Based Climate Solutions, by Katie Kaplan
3:35 PM - (T2) Quantum Machine Learning, by Meltem Tolunay
3:50 PM - (T3) Code, Chaos, and Founding Dreams: A Data Girl's Leap into Leadership, by Claudia Natasia
4:05 PM - (T4) Lightning talk, by Narimane Hennouni
4:15 PM - Break!
4:30 PM - (T5) Can We Simplify Analytics on Multimodal Data to Unlock Its Potential?, by Vishakha Gupta
4:45 PM - (T6) Building Intelligent Multi-Agent Systems, Sandi Besen
5:05 PM - (T7) From Policies to Protection: Building Al Safeguards for Election Integrity in 2024, by Cathy Dinas
5:20 PM - (T8) TBD
5:50 PM - Closing remarks
6:00 PM - Networking
WiDS San Francisco is an independent event organized by WiDS ambassador, Grishma Jena. WiDS Worldwide is a global non-profit that aims to celebrate women's achievements and inspire others. The WiDS mission is to achieve 30% representation for women in education, innovation and leadership by 2030 with a long term vision of full and equal representation in Decision Making, Economic Prosperity and opportunities.
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