Predictive Analytics in Construction: Enhancing Safety and Efficiency

To support the Government’s initiative to develop artificial intelligence (AI) as a core industry and to enable traditional sectors to upgrade and transform through AI adoption, the Hong Kong Applied Science and Technology Research Institute (ASTRI) is organising the 2026 seminar series “AI Empowerment: Enhancing Industry Capabilities.”
The seminar titled “Predictive Analytics in Construction: Enhancing Safety and Efficiency” will bring together leading business leaders, industry experts, and technology innovators to explore how AI technology is transforming the construction industry.

We aim to foster collaboration and the exchange of ideas, promote best practices, explore practical collaboration and deployment models, and identify opportunities for advancing predictive analytics to enhance construction safety and efficiency in Hong Kong. The seminar will also support the industry’s evolution in alignment with government initiatives on smart city, helping unlock safer, smarter, and more resilient construction practices.

We are honoured to have below industry experts joining us to share fruitful insights on AI and construction safety, featuring (in no particular order):

Ir Prof Lawrence Poon, Convenor, Robotics and Drone Specialist Group, Hong Kong Computer Society
Mr Benjamin Le Crom, Head of Digital, Innovation and Transformation, Dragages Hong Kong Limited
Ir Terence Lui, CEO, Varadise Limited
Mr Kenny Chan, Chief Director, Intelligent Sensing and Control Solutions, ASTRI

“AI Empowerment: Enhancing Industry Capabilities” Seminar Series – “Predictive Analytics in Construction: Enhancing Safety and Efficiency”
Date: 25 August 2026 (Tuesday)
Time: 15:00 – 17:00
Venue: Conference Hall 04-07, 2/F of Building 10W, Hong Kong Science Park
Language: English

There will be booths on site showcasing the latest technological developments in the construction and property industries.

\The programme is subject to change without prior notice.
\This seminar is funded by G