Andreas Weigend

Andreas Weigend

Former Chief Scientist at Amazon & Global Authority on Big Data and Consumer Behaviour

Core Intelligence Domain: Big Data & Artificial Intelligence
Location: San Francisco, USA | Languages: English, German
Representation: Represented globally by PSpeakers Global Intelligence

Andreas Weigend is a globally recognised authority on the future of data, artificial intelligence, and consumer behaviour. As the former Chief Scientist at Amazon, he was instrumental in creating the firm’s legendary data strategy and customer-centric culture, architecting the recommendation algorithms that fundamentally transformed global e-commerce. Today, he is the foremost expert on the “Social Data Revolution,” empowering executive boards and multinational organisations to leverage massive streams of user-generated data to drive strategic foresight, optimise decision-making, and create unprecedented commercial value.

Currently serving as the Founder and Director of the Social Data Lab, Andreas Weigend connects the world’s most brilliant data scientists with leading corporations to solve complex business challenges. He shares his proprietary frameworks on data strategy and predictive analytics as a lecturer at Stanford University and the University of California, Berkeley. His deep understanding of how data shapes human behaviour allows him to guide C-suite leaders through the digital transition, ensuring they can harness information not just for operational efficiency, but as a core pillar of long-term strategic growth.

Professional Milestones & Achievements

• Former Chief Scientist at Amazon: Spearheaded the development of the customer-centric algorithms and data infrastructure that powered Amazon’s early exponential growth.
• Founder of the Social Data Lab: Directs a premier research and advisory firm focused on the intersection of data, social behaviour, and business strategy.
• Author of Data for the People: Penned the critically acclaimed book which explores how individuals and organisations can reclaim the value of their data in a transparent, ethical manner.
• Academic Excellence: Esteemed lecturer at Stanford University and UC Berkeley, teaching the next generation of leaders about data mining, machine learning, and business analytics.
• Global Strategic Advisor: Consults for Fortune 500 companies, financial institutions, and global governments on maximising the ROI of big data and AI integrations.

Key Speaking Themes

• The Social Data Revolution: How organisations can harness real-time user data to anticipate consumer needs and build an insurmountable competitive advantage.
• Customer-Centric Innovation (Lessons from Amazon): Proprietary insights into building a culture where data dictates decision-making and the customer is placed at the centre of every strategy.
• Artificial Intelligence & Predictive Analytics: Moving beyond the hype to implement AI frameworks that deliver measurable, scalable business results.
• The Future of Privacy, Trust, and Transparency: Navigating the ethical complexities of data collection and building long-lasting trust with modern consumers.
• Data for the People: Understanding the shifting power dynamics between large technology firms, consumers, and regulators in the modern digital economy.

Key Takeaways

• Actionable, C-level strategies for transitioning traditional business models into agile, data-first organisations.
• Proprietary frameworks for turning raw, unstructured data into predictive strategic foresight.
• Expert guidance on navigating the ethical, legal, and reputational complexities of AI and global data privacy.
• Exclusive insights derived from architecting the foundation of one of the world’s most successful data-driven corporations.