David R. Hardoon

  • Managing Director & Head, Advanced AI for Accenture, Southeast Asia
  • Former Chief Data Officer, Monetary Authority of Singapore
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PROFILE

Dr David Hardoon is a leading international voice on data, artificial intelligence, and responsible innovation, with over two decades of experience spanning executive leadership, government strategy, academia, and boardroom advisory. He currently serves as Managing Director and Head of Advanced AI for Southeast Asia at Accenture, where he leads the firm's strategy, deployment, and governance of enterprise-scale generative and agentic AI solutions.

Prior to joining Accenture, David held senior global and regional executive roles, including Global Head of AI Enablement at Standard Chartered, CEO of Aboitiz Data Innovation, and Group Chief Data and AI Officer at UnionBank of the Philippines. Earlier in his career, he served as the inaugural Chief Data Officer and Head of the Data Analytics Group at the Monetary Authority of Singapore (MAS), where he was later appointed Special Advisor on Artificial Intelligence. During his tenure at MAS, he shaped the financial sector's national AI strategy and spearheaded the development of the Fairness, Ethics, Accountability, and Transparency (FEAT) principles which is a global benchmark for responsible AI governance, alongside the MAS-backed Veritas consortium.

In an advisory capacity, David has guided public sector bodies including Singapore’s Corrupt Practices Investigation Bureau (CPIB) and Central Provident Fund (CPF) Board on data science strategy. He is also the author of The AI Failure Handbook and serves as an Independent Non-Executive Director and advisor to various organisations globally. David holds a PhD in Computer Science (Machine Learning) from the University of Southampton and a First Class Honours degree in Computer Science and Artificial Intelligence from Royal Holloway, University of London.

TOPICS

ENTERPRISE AI: EXECUTION, GOVERNANCE AND TRUST

He examines how organisations can move AI initiatives from experimentation to scalable enterprise deployment, while building the governance, accountability and trust required to use the technology responsibly. His presentations address operating models, adoption barriers, regulatory expectations, algorithmic risk, human oversight and the practical steps leaders can take to turn AI ambition into sustainable business value.

DATA, PEOPLE AND PERFORMANCE: BUILDING THE AI-READY ORGANISATION

He explores the organisational foundations required to succeed in an AI-enabled economy. High-quality, well-governed data, scalable data architectures, and a workforce prepared to adapt. His commentary connects data value and analytics-driven profitability with the human realities of technology adoption, including decision-making, neurodiversity, digital resilience, scam awareness and changing workforce behaviours.

THE FUTURE OF FINANCE: FINTECH, REGULATION AND DATA FLOWS

He provides insight into the transformation of financial services as innovation, data and regulation become increasingly interconnected. His work covers FinTech adoption, regulatory technology, central-bank data strategies, anti-money-laundering capabilities, digital transformation and the opportunities and risks created by more open cross-border data flows

EXPERTISE

  • In-Conversation
  • Webinar
  • Keynote Speech
  • Boardroom Advisory

VIDEOS

BOOKS

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David R. Hardoon

The AI Failure Handbook: The Ultimate Guide to Screwing Up Your AI Transformation

The AI Failure Handbook: The Ultimate Guide to Screwing Up Your AI Transformation (2026) is a concise, satirical book that uses dark humour and reverse psychology to expose why corporate AI initiatives repeatedly fail in production. Written from an anti-pattern perspective, it offers instructions on how to guarantee project failure by mocking common executive mistakes, such as chasing vendor hype, suffocating innovation in endless governance committees, getting stuck in infinite proofs-of-concept, and ignoring human workforce adoption. By showing how

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