Innovation Stage

Advancing Smart Mobility: Transforming Tech into Real Impact

11 Sep (Fri) Day 2 : 14:00 – 14:25

As the backbone of Hong Kong’s public transport network, MTR plays a pivotal role in shaping the future of smart mobility. By integrating digital innovations into transport infrastructure and operations, smart mobility initiatives can enhance sustainability, improve operational efficiency, strengthen network resilience, and elevate customer experience. Realising these benefits, however, requires innovative technologies to move beyond proof-of-concept and pilot stages into full-scale operational deployment – a journey that often involves both technical and organisational challenges.

This panel brings together technology providers, ecosystem partners, and industry practitioners to explore how emerging technologies, including Artificial Intelligence (AI), are transformed from innovative concepts into practical solutions that deliver measurable impact. Through real-world examples, speakers will share insights into the deployment of smart mobility technologies within complex operating environments, highlighting both the opportunities and challenges encountered along the way. The discussion will also examine how collaboration between corporates and technology partners enables the testing, refinement, and scaling of innovative solutions. Ultimately, the session will demonstrate how a collaborative innovation ecosystem can accelerate the adoption of smart mobility solutions, driving operational excellence while delivering tangible sustainability outcomes, enhanced accessibility, greater resilience, and long-term business value.

Session Learnings:

  • Explore how smart mobility innovations can bring tangible sustainability outcomes and business value to public transport networks.
  • Understand the opportunities and practical challenges of integrating emerging technologies into complex, safety-critical operating environments.
  • Gain insights into the key success factors for transforming innovative concepts and pilot projects into scalable, real-world applications.
  • Learn how collaboration among corporates, technology providers, and ecosystem partners can accelerate innovation adoption and maximise impact.
  • Discover how smart technologies can drive operational efficiency, enhance network resilience, improve accessibility, and elevate customer experience while supporting sustainability goals.

Post-Event Actions:

  • Identify high-impact use cases where innovation technologies can enhance sustainability performance while delivering measurable operational and business value.
  • Develop a structured approach to evaluating, piloting, and scaling technology solutions across different organisation contexts.
  • Strengthen collaboration with technology providers, startups, incubators, and ecosystem partners to accelerate the development and deployment of innovative solutions.
  • Apply practical lessons learned and best practices to overcome implementation challenges and successfully scale innovation initiatives.
  • Explore opportunities to integrate sustainability considerations into technology and innovation strategies across the organisations.

Speakers

Vince Chow

Charter Glory Corporation Limited

Head of Development

Vince Chow is the Head of Development at Charter Glory Corporation Limited, where she leads the delivery of AI‑powered solutions for enterprise clients. She currently oversees two major projects for MTR. The first, C5255 – Provision of Virtual Assistant Kiosks, is live across 11 stations, providing AI‑driven concierge services that enhance passenger experience. Building on this success, she has recently secured a new contract, C0164 – Virtual Service Ambassador Solution, which will roll out AI‑powered interactive kiosks across 50 stations over the next two years. In parallel, Vince serves as Director of AI Solutions at iTrend Force Company Limited, where she develops proprietary causal AI large language models (LLMs) and NLP agents for advanced data and video analytics applications.

With 25 years of experience in technology and project management, Vince has delivered numerous large‑scale, safety‑critical infrastructure projects. Her portfolio spans diverse Smart and Innovation initiatives, including AI Analytic Platforms for buildings, an Innovation Distributed BMS project, and the technical design and management of renewable energy platforms for CLPe Solutions. Over her distinguished more than 10‑year tenure on MTR’s TETRA radio systems (2009–2024), she managed flagship projects such as the Radio Replacement Project (2009–2014), C3564 – Modification of URL and A&T TETRA Radio System, C6014‑14E (covering 186 trainborne radio sets, handsets, and 744 RFID tags for 93 new trains), and CK008.03 – URL Radio System Integration.

Vince is a Bachelor’s degree holder in Computer Science and a Member of the Institution of Engineering and Technology (MIET).

My Sustainability Goals for 2026:

I hope to see Hong Kong’s public transport system evolve into a model of inclusivity, resilience, and community‑driven innovation. My first goal is to make everyday travel more accessible for all, particularly elderly passengers and persons with disabilities. By scaling the Virtual Service Ambassador (AI Tracy) across multiple MTR stations, I aim to provide real‑time travel information, wayfinding, and passenger assistance that reduces congestion at information desks. This ensures frontline staff are freed to focus on the complex, human‑centred interactions that require empathy and judgment—demonstrating that technology should support, not replace, people.

My second goal is to apply proprietary causal AI and NLP agents to improve services by uncovering root causes of hidden correlations within MTR’s operational records, system alerts, and passenger flow data. This approach transforms reactive responses to passenger needs into proactive service resilience. By identifying inefficiencies and translating complex data into actionable solutions, we can not only reduce costs but also elevate the enjoyment of the customer journey. This shift strengthens the backbone of Hong Kong’s railway network while raising overall passenger satisfaction levels.

Finally, I envision a continuous public feedback loop where commuters actively shape the system’s evolution. Through AI Tracy, passengers will be able to report friction points in real time, co‑training the AI to adapt to actual human behaviour and hidden usage patterns. This co‑learning ecosystem ensures that the railway grows smarter alongside the community it serves, delivering a transport experience that is both resilient and deeply responsive to the needs of Hong Kong’s people.

With thanks to