Garry Ridge
Former Chairman & CEO, WD-40 Company | Founder, The Learning Moment | Bestselling Author | Expert in Corporate Culture & Servant Leadership
Former Chief Scientist, Amazon | Global Expert on Big Data, AI & the Social Data Revolution | Stanford & UC Berkeley Faculty | Author, Data for the People
Andreas Weigend helped build Amazon's data brain — now he helps organizations worldwide understand what their data is really worth. As Amazon's former Chief Scientist, Stanford faculty member, and author of Data for the People, he is one of the most credible voices on AI strategy, the ethics of the data economy, and what it takes to compete in a world where behavioral data is the defining asset.
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Andreas Weigend is one of the world’s foremost authorities on data science, artificial intelligence, and the relationship between human behavior and the information we generate. As former Chief Scientist at Amazon — one of the most data-driven organizations ever built — he helped architect the company’s customer-centric data strategy and pioneered the predictive models that shaped how Amazon understands and anticipates consumer behavior at scale.
Big data speaker Andreas Weigend trained as a physicist, studying at the University of Bonn before earning his PhD in neural networks from Stanford University. That scientific foundation — rigorous, model-driven, deeply skeptical of assumptions — underpins everything he has done since. After leading Amazon’s data science function, he went on to consult for some of the world’s most sophisticated organizations, including Alibaba, Goldman Sachs, Lufthansa, SAP, and Reuters, helping each rethink their relationship with data not as a byproduct of business, but as its defining strategic asset.
Weigend coined the term “Social Data Revolution” to describe a fundamental shift in how individuals, companies, and governments interact with data — one in which consumers are no longer passive subjects of surveillance but active participants who can demand transparency, agency, and value in return for what they share. He teaches this framework at Stanford, UC Berkeley, Fudan University, and CEIBS in Shanghai, reaching future leaders across the United States, China, and Southeast Asia.
His book Data for the People lays out a rigorous case for why the current data economy — dominated by a handful of platforms with asymmetric access to behavioral information — is both economically inefficient and ethically untenable. In it, Weigend proposes a set of data rights that would shift power back toward individuals, drawing on his insider knowledge of how companies like Amazon and Alibaba actually use consumer data. The book has become a key reference in debates around data governance, digital rights, and the political economy of AI.
In 2018, Chancellor Angela Merkel appointed Weigend to Germany’s Digital Council — the Digitalrat — a body of international technology experts tasked with advising the federal government on digital transformation, data policy, and AI strategy.
As a speaker, Andreas Weigend brings to the stage a perspective that few can match: the insider credibility of someone who built data infrastructure at Amazon’s scale, combined with the academic rigor of a Stanford-trained physicist and the policy authority of a government advisor. His sessions challenge audiences to move beyond data as a compliance issue or a technical function and see it as the defining source of competitive advantage — and social responsibility — of our era. Organizations leave his talks with sharper questions, clearer frameworks, and a more sophisticated understanding of what the data they collect, share, and ignore is actually worth.
Most organizations treat data as something they take from customers. Weigend argues this model is both strategically inferior and increasingly untenable. Drawing on his time at Amazon and his work with Alibaba, Goldman Sachs, and Lufthansa, he maps the shift from extractive to relational data practices — and shows why companies that treat consumers as data partners rather than data sources will outperform those that don't. Audiences gain a practical framework for rethinking their data relationships from the ground up.
Built for C-suite and board-level audiences, this session cuts through the hype to address what AI actually changes in strategy, operations, and competitive positioning. Weigend draws on decades of applied AI work — from Amazon's recommendation engine to advisory engagements across finance, logistics, and retail — to deliver a clear-eyed view of where the value lies, what the real risks are, and how leaders can make high-quality decisions about AI without becoming technical experts themselves.
Based on his landmark book, this keynote examines the political economy of data — who captures value, who bears risk, and how that balance is shifting under regulatory pressure, public scrutiny, and the rise of AI. Weigend draws on his service on Germany's Digital Council and his experience advising governments and corporations to propose a new framework for data rights: one that is practical, grounded in economic logic, and actionable for both companies and policymakers.
Organizations collect more data than ever — and understand their customers less than they think. In this session, Weigend applies the behavioral science and predictive modeling frameworks he developed at Amazon to help leaders ask better questions of their data: what signals matter, what patterns are noise, and how to build data culture that turns raw information into genuine insight. Practical, concrete, and grounded in real case studies from global organizations.
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