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Gauthier Vasseur
Executive Director - Berkeley Fisher Center, Author : Devenez un Data Pionnier - Editions Mardaga, CEO and Founder - Data Wise Academy, Founder and Co-President - Alliance for Inclusive AI
Gauthier Vasseur is a prominent figure in the field of business analytics and artificial intelligence. He currently holds several important positions:
Professional Roles
- Executive Director of the Fisher Center for Business Analytics at the University of California, Berkeley, Haas School of Business12
- CEO and Founder of Data Wise Academy3
- Co-President and Founder of the Alliance for Inclusive AI (AIAI)3
Background and Experience
Gauthier Vasseur has an extensive background in finance, technology, and education:
- He began his career in auditing, corporate finance, and treasury1
- In 2004, he transitioned to the technology sector, becoming director of product marketing for performance management solutions at Hyperion in Silicon Valley1
- Later, he joined Google as director of financial data management1
- He also served as Vice President of Data Processing Solutions at TriNet1
Academic Contributions
- In 2011, Vasseur started offering data courses at Stanford University1
- In 2018, he joined UC Berkeley to lead the Fisher Center for Business Analytics1
- He is the author of the book "Become a Data Pioneer"1
Recent Achievements
In January 2024, Gauthier Vasseur became the AI & Business Analytics Ambassador for the UN Global Compact Ukraine.1 This partnership aims to improve the quality of educational projects supporting the Ukrainian private sector and help strengthen the competitiveness of Ukrainian companies in the global market.1
Focus Areas
Vasseur's work primarily revolves around:
- Advancing the creation of business value from data science2
- Supporting data democratization2
- Promoting inclusion of women and underrepresented minorities in AI and analytics2
- Developing ecosystems and communities to integrate learning in AI and analytics2
Through his various roles, Gauthier Vasseur is actively working to make AI and analytics more inclusive, ethical, and impactful in the business world and society at large.