Innovation Stage
Innovation Stage
Day 2 – Friday 11 Sept
Day 2 showcases the technologies and business models driving Hong Kong’s climate-adaptation and decarbonisation efforts. Attendees will explore innovations in environmental intelligence, risk analytics, materials science, and low-carbon technologies, with a focus on scalable, commercially ready solutions. The programme highlights how applied innovation can strengthen resilience, support compliance with evolving standards, and open new economic opportunities for businesses.
In partnership with
The Mills Fabrica
The Mills Fabrica is a global collaborative hub propelling sustainability-focused tech innovations within the techstyle and agrifood sectors. To innovators at various growth stages, it uniquely offers resources encompassing venture capital, incubation support, impact retail (Fabrica X), prototyping lab, co-working and event spaces in Hong Kong and London.
General Enquiry Email Address: contact@themillsfabrica.com
General Enquiry Phone Number: 3979 2335
10:40 – 11:30
A session examining how AI is reshaping the planning, financing, and delivery of energy infrastructure across the Greater Bay Area. The session brings together perspectives from utilities (Towngas, CLP China), advisory and asset management (Hartley McMaster), foresight and future-city planning (ARUP), and renewable development (IB Vogt) to explore where AI creates genuine value . The discussion spans investment opportunities and challenges, health and safety considerations, and the practicalities of infrastructure build-out.
Session Learnings:
- How AI is being applied across the energy infrastructure lifecycle — from strategic asset management and investment planning through to regulatory economics and operational decision-making.
- Where the real investment opportunities and challenges sit in Greater Bay Area energy infrastructure, and how AI changes the risk-return calculus for investors.
- The health, safety, and operational risk considerations that come with deploying AI in critical energy infrastructure.
- How utilities, developers, engineers, and financiers are each approaching AI adoption — and where their incentives and concerns converge or diverge.
- How foresight and scenario planning are shaping the energy infrastructure of future cities, and where AI fits into that longer-term trajectory.
Post-Event Actions:
- Identify candidate use cases within their own portfolios or operations where AI could improve asset management, investment planning, or regulatory/economic analysis.
- Connect with fellow delegates and speakers to extend the conversation and share case studies via the event’s digital channels.
- Express interest in joining a follow-on working group to develop the themes raised into concrete collaboration.
Speakers
Ir. Queenie Chan
General Manager – Business Transformation and Enquiry
The Hong Kong and China Gas Company Limited
Ir. Queenie Chan
The Hong Kong and China Gas Company Limited
General Manager – Business Transformation and Enquiry
Ir Queenie Chan is the General Manager – Business Transformation and Enquiry of The Hong Kong and China Gas Company Limited (Towngas). She leads the Customer Service Hotline and the Business Transformation team, driving strategic transformation initiatives across Hong Kong Business. With over 20 years of leadership experience spanning customer service, sales and marketing, business analytics, and transformation, she has played a pivotal role in strengthening a data-driven culture and accelerating business and digital transformation. She also spearheads the development and adoption of AI initiatives to enhance operational efficiency, elevate customer experience, and foster innovation across the business.
She is a Chartered Engineer of The Hong Kong Institution of Engineers. She holds a Bachelor of Engineering in Industrial and Manufacturing Systems Engineering from The University of Hong Kong, as well as a Master of Science in Business Management from The Hong Kong Polytechnic University.
My Sustainability Goals for 2026:
First, to build smarter and more resilient energy infrastructure, especially using AI for predictive maintenance, risk monitoring and operational optimisation.
Second, to use AI and digital tools to drive energy efficiency, so that we reduce waste and make better use of existing resources.
And third, to strengthen Greater Bay Area collaboration, combining Hong Kong’s strengths in governance, finance and standards with the technology and infrastructure capabilities of other GBA cities.
Speaking at 2026 sessions:
Day 2
AI Opportunities in Energy Infrastructure Development in the Greater Bay Area
Vincent Mok
Managing Partner
Hartley McMaster
Vincent Mok
Hartley McMaster
Managing Partner
Vincent Mok leads Hartley McMaster’s Asia-Pacific practice and co-chairs the Energy & Utilities Committee of the Artificial Intelligence Association of Hong Kong. At Hartley McMaster he directs the firm’s decision-science and AI consulting, leading teams that quantify capital allocation, optimization and risk for asset-intensive operators, building on the firm’s 23 years of work in water, energy, aviation and transport. His current focus is the decision layer above operations: how operators turn data into optimized and defensible capital and maintenance portfolios, and whether climate and resilience risk is actually priced into capital plans. He is the creator of SAM-DD, Hartley McMaster’s strategic asset management due diligence methodology for infrastructure investors.
My Sustainability Goals for 2026:
- To see ESG and climate risk move from disclosure to decision: quantified, monetized, and embedded in the capital-allocation frameworks of asset-intensive operators and their investors. A risk that appears in a sustainability report but not in the capital plan is not yet being managed, and in 2026 the gap between the two is still wide.
- To see APAC utilities regulators create the conditions for AI-supported capital decision-making, because the energy transition is above all a capital-allocation challenge. Grid reinforcement, renewables integration, and climate adaptation all compete for constrained capital, and AI-supported decision-making gets measurably more decarbonization and resilience from every dollar invested. Regulatory frameworks that recognize data quality and decision auditability would accelerate that shift; today they lag well behind what the technology makes possible.
Speaking at 2026 sessions:
Day 2
AI Opportunities in Energy Infrastructure Development in the Greater Bay AreaSupported by
Artificial Intelligence Association of Hong Kong
All sessions are subject to change.