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Berkeley-Inclusive Intelligence AI Symposium

Fisher Center for Business Analytics

Wednesday, October 30, 2019 from 9:00 AM to 7:00 PM (PDT)

Berkeley-Inclusive Intelligence AI Symposium

Ticket Information

Ticket Type Sales End Price Fee Quantity
AIAI Trainee Ended Free $0.00
Regular Attendee Ended Free $0.00
Student Attendee Ended Free $0.00
Gala Dinner + Symposium Attendee Ended $100.00 $7.72
Gala Dinner 0nly Ended $100.00 $7.72

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Event Details

About Berkeley Inclusive Intelligence Symposium

To ensure sustainable success, organizations are turning to new approaches to lead their transformation in a digital age. Technology and data hoarding aren’t the answer. It takes a more thoughtful strategy to create durable value from analytics. Humans, ethics, diversity are a large part of the equation to foster a data-driven culture that is truly adopted, delivers business results, respects our society and every individual, and unbiasedly tackles tomorrow’s challenges. 

Many organizations are striving to deliver this balancing act: it may induce some upfront challenges but the approach also clears many of the roadblocks that slow companies down in the long run.

Join us to learn, share, and connect with leaders, faculty, and students about the untapped potential of inclusive and ethical analytics.


Tentative Agenda:  

8:30am – 9:00am

Welcome Breakfast


9:00am – 9:05am

Welcome Remarks

Fisher Center for Business Analytics


9:05am – 9:25am

AIAI and Humans for AI: A Join Initiative for Inclusive Intelligence

Beena amanath, Founder, Humans for AI

Gauthier Vasseur, Executive Director, Fisher Center for Business Analytics

9:25am – 10:05am

New Tech, New Challenges, New CIO?

Wendy Pfeiffer, CIO, Nutanix

10:05am – 10:45am

Automated Machine Learning - Empowering Data Scientists and Businesses

Sara Aerni, Director of Data Science and Engineering, Salesforce

10:45am – 11:15am


11:15am – 11:55am

Making Diversity Work in an Organization to Drive Successful Transformation

Andreea Gorbatai, Assistant Professor, UC Berkeley Haas School of Business

Desmond Dickerson, Manager at the Center for the Future of Work, Cognizant

Rhonda Shrader, Executive Director, Berkeley Haas Entrepreneurship Program

11:55am – 12:35pm

Transformation at Work in 100 Year Old Corporations: Making the Best of Humans AND Machines

Rene Saroukhanoff, Senior Director of Data and Analytics, Levi Strauss and Co

12:35pm – 2:00pm


2:00pm – 2:20pm

The Status of Women and Minorities in Analytics

David Leighton, President, WITI (Women in Technology International)


2:20pm – 3:00pm

21 More Jobs of the Future: The Future of Work is Here And it Must be Inclusive

Robert Brown, AVP, Cognizant

3:00pm – 3:40pm

What is the next Frontier in AI and ML

Dan Feld, Head of Global Enterprise Business, Google

3:40pm – 4:00pm


4:00pm – 4:40pm

Ethics in Data: Open Conversation to Foster an Ethical, Unbiased, and Safe Digital World

Jodi Halpern, Professor of Bioethics and Medical Humanities, UC Berkeley
Marta C. Gonzales, Associate Professor of Civil and Environmental Engineering, UC Berkeley

Cathryn Carson, Board Member, Division of Data Science

Bindu Garapaty, Director, Gilead

4:40pm – 5:20pm

The Real Road to Successful Data Science: Have You Got What it Takes?
Sabrina Menasria, Head of Data, BI, and Governance, Chanel

5:20pm – 5:30pm

Continuing the data Journey with FCBA and BIDS
David Mongeau, Executive Director, Berkeley Institute for Data Science
Gauthier Vasseur, Executive Director, Fisher Center for Business Analytics

5:30pm – 7:00pm

Cocktail Reception

Meet the speakers, sponsors, and AIAI Trainees


7:00pm – 7:15pm


Meet the speakers, sponsors, and AIAI Trainees


7:15pm – 10:15pm


Celebrate our prize recipients and our Fellows


For more information, visit:

Have questions about Berkeley-Inclusive Intelligence AI Symposium? Contact Fisher Center for Business Analytics

When & Where

Haas School of Business
Spieker Forum, Chou Hall
University of California, Berkeley
Berkeley, CA 94720

Wednesday, October 30, 2019 from 9:00 AM to 7:00 PM (PDT)

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