A Fireside Chat With Gary Wong

Featured Guests

Dr. Gary Wong

Director, CITE & Assistant Professor, University of Hong Kong

Gary Wong is a leading authority in AI, machine learning, and digital transformation. With a background spanning chemical engineering, computer science, and AI governance, Gary specializes in applying advanced AI solutions to complex sectors like water utilities, finance, and infrastructure. His consultancy work with major investment banks and regulators worldwide makes him a visionary voice on ethical AI deployment and industry innovation.

Robert Akeson

Managing Director, Investment Banking at Riverside Management Group

Known for his insights into large language models and risk analytics, this expert has contributed significantly to the practical implementation of AI in trading, compliance, and operational workflows within major financial institutions. His expertise bridges the gap between technical innovation and strategic business practice.

Key Insights From This Episode

AI as a Practical Business Tool

AI and ML now facilitate smarter decision-making, risk management, and operational efficiencies—no longer confined to research labs but integrated deeply into financial services and utilities.

Large Language Models (LLMs) Democratize AI

Models like ChatGPT serve as accessible interfaces for non-specialists, enabling broader adoption across industries. However, their reliance on probabilistic outputs can lead to hallucinations—fictitious but convincing responses—that require careful validation.

Data Quality and Organization Are Critical

Success with AI hinges on structured, clean, and comprehensive data. Organizations need to transition from viewing data as a cost center to recognizing it as a vital asset.

Regulation and Ethics Are Urgently Needed

The fast-evolving AI landscape demands new frameworks for data privacy, security, and moral guidelines. While regulation lags behind innovation, preliminary efforts focus on transparency, accountability, and preventing misuse such as insider trading and cybercrime.

AI in Financial Industry Today

Banks leverage AI for customer experience, fraud detection, risk analytics, and compliance—supporting faster, more accurate decision-making while contending with challenges like hallucinations and data bias.

Industrial and Infrastructure Transformations

Beyond finance, AI is driving smarter water utilities, climate resilience, and infrastructure modernization. Technologies such as digital twins and predictive analytics help utilities optimize resources and respond proactively to environmental challenges.