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Walter Pasquarelli

Advisor on Generative AI Strategy
- Walter Pasquarelli, Advisor on Generative AI Strategy
- OECD.AI Expert Group Member
- Affiliated Researcher, Bennett Institute for Public Policy, University of Cambridge

Walter Pasquarelli is an internationally recognised advisor, speaker, expert on AI strategy, generative AI, data governance, and synthetic realities.

Leading advisory and editorial programmes at The Economist Group, Walter has operated at the forefront of technological innovation, shaping policy and business perception of emerging technologies. His works were widely published and received mentions by The Economist, Forbes, Der Tagesspiel, El Tiempo, the European Parliament, NATO, the Mayor of London Sadiq Khan, the UAE Minister of State for AI among others.

Walter specialises in strategic planning and has a history of anticipating and engaging with crucial shifts in the responsible use of AI, data governance, AI policy, ethical and regulatory frameworks, and macroeconomic tech trends. He led the development of the first globally focused “AI Index”, benchmarking countries’ readiness to uptake emerging technologies across key industries and markets.

Widely known as a consultant, speaker and research manager, Walter has managed advisory and editorial programmes totalling over $2 million USD. He has served as an advisor to Google, Meta, Microsoft, Coca-Cola as well as presidencies and government departments in the UK, the US, Canada, the European Commission, the UAE, Colombia, India, Thailand, and Serbia.

An experienced moderator and speaker he presented The Economist's Data Dividend series, and moderated the World Economic Forum, involving ministers and C-suite executives from Fortune 100 companies and government leaders.

Walter is an expert AI member of the OECD, recipient of the Prospect Public Policy Award by the University of Cambridge, and an Affiliate Researcher at the Bennett Institute for Public Policy.

  • Business in the generative age   |   ITAPA AI & Robotics 2024
    • Introduction
    • Quick recap on gen AI and foundation models (including difference with conventional AI)
    • AI applications in business (text-to-text/ image/video)
    • How to build strategic AI capabilities (talent, data, infrastructure)
    • Trust and Safety (Deepfakes and authenticity, Bias, etc.)
    • Case Studies (People and Culture, Customer Service, Knowledge management).

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