Overview
AI Deployment Clinic for Construction: From Planning to Infrastructure Intelligence is an exclusive industry workshop bringing together construction leaders, property developers, facilities management teams, startups, and AI experts to explore how artificial intelligence is transforming the entire lifecycle of the built environment.
Hosted by JDI Group in collaboration with NVIDIA AI Technology Centre (NVAITC) , this session focuses on how organisations can move beyond experimentation and deploy AI across planning, construction, operations, and infrastructure management.
Participants will engage in interactive discussions, workflow mapping exercises, and collaborative ideation sessions designed to uncover practical AI deployment opportunities across the built environment ecosystem.
📅 Date: 25 June 2026 (Thursday)
🕒 Time: 3:30 PM - 6:00 PM (Registration start at 3:15 PM)
📍 Venue: One&Co Coworking Space (JR East), Singapore
🔻 Limited seats available. Attendance is by registration only.
WORKSHOP HIGHLIGHTS
✨ AI Across the Built Environment Lifecycle Explore how AI can be deployed across four critical stages — Plan, Build, Enhance, and Maintain — to reduce risks, improve operational efficiency, and unlock long-term asset value.
✨ Interactive Deployment Clinic Participate in guided workflow mapping, problem identification, and ideation exercises focused on real operational challenges in construction, infrastructure, and facilities management.
✨ NVIDIA AI Capabilities Showcase Learn how technologies such as computer vision, predictive analytics, digital twins, and document intelligence are being applied to real-world built environment use cases.
✨ Cross-Industry Networking Connect with developers, construction firms, startups, facilities management leaders, and ecosystem partners exploring AI deployment opportunities across Southeast Asia.
KEY FOCUS AREAS
🔹 PLAN – Cost & Delay Prediction: Use AI-powered simulations and digital twins to forecast cost overruns, delays, and resource constraints early — enabling smarter planning and better project decisions.
🔹 BUILD – Site Safety & Productivity: Leverage computer vision to monitor site safety, track progress in real time, and improve workforce productivity through AI-powered visibility.
🔹 ENHANCE – Smart Buildings & User Experience: Optimise energy usage, automate operations, and create smarter building environments that adapt to occupant behaviour and operational needs.
🔹 MAINTAIN – Asset & Infrastructure Intelligence: Apply AI-driven predictive maintenance to detect issues before failures happen, reduce downtime, and extend asset lifespan through data-driven insights.
WHAT YOU WILL EXPERIENCE
1️⃣ Warm-Up Exercise – “Stinky Fish” Surface hidden concerns, assumptions, and barriers around AI adoption in the built environment sector through an interactive facilitated exercise.
2️⃣ Workflow Mapping Map operational workflows across planning, construction, building operations, and infrastructure management to identify where AI opportunities exist.
3️⃣ Problem Identification Identify operational bottlenecks, repetitive workflows, and high-risk processes where AI can improve efficiency and decision-making.
4️⃣ AI Solution Sharing by NVIDIA Explore practical AI applications, including computer vision, digital twins, predictive analytics, and document intelligence through real deployment examples.
5️⃣ Collaborative Ideation Session Work in small groups to brainstorm AI-enabled solutions tailored to organisational workflows and operational needs.
6️⃣ Opportunity Framing Translate ideas into actionable AI opportunity statements that can potentially evolve into pilot projects or deployment initiatives.
WHO SHOULD ATTEND
This deployment clinic is designed for professionals across the built environment ecosystem, including:
🔸 Property developers and urban innovation teams 🔸 Construction corporates and EPC firms 🔸 Facilities management and operations leaders 🔸 Built environment and PropTech startups 🔸 AI, digital transformation, and innovation teams 🔸 Infrastructure and smart city stakeholders
Schedule
Date: 25 Jun 2026, Thursday
Time: 3:30 PM - 6:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: One & Co, Twenty Anson #11-01, 20 Anson Rd, 079912
Speakers
Speaker's Profile:
Siti Aishah Zahari, Design Thinking Practitioner, Community & Partnerships, JDI Group
Siti Aishah Zahari leads Community and Partnerships at JDI Group, where she works with startups, enterprises, and ecosystem partners to accelerate the adoption of emerging technologies across Southeast Asia. Her work focuses on bridging innovation with real-world deployment—connecting organisations with the talent, technology, and strategic partnerships needed to turn ideas into operational solutions. At JDI, she collaborates closely with scaling startups, corporate innovators, and global technology partners to support initiatives in AI, software development, and offshore engineering. Trained in design thinking by IDEO, Aishah brings a human-centred approach to technology adoption. She is particularly interested in helping organisations move from experimentation to implementation by identifying real workflow challenges, reframing them as opportunities for innovation, and designing practical solutions that teams can adopt.
Speaker's Profile:
Shariff Raffi, Venture Builder & Partner (Asia), MBK Holding
Shariff Raffi is a seasoned venture builder, strategist, and ecosystem enabler with over 20 years of experience launching, scaling, and advising technology ventures across ASEAN and the GCC. He currently serves as Partner (Asia) at MBK Holding, the innovation platform founded by H.E. Sheikh Mansoor Bin Khalifa Al-Thani, where he drives strategic investment and innovation initiatives bridging Southeast Asia and the Gulf, spanning cross-border deal flow, sovereign and institutional partnerships, and venture pipeline development across priority sectors. Shariff brings a practitioner’s lens to AI deployment: not just what the technology can do, but how organisations move from experimentation to scalable, real-world implementation.
Speaker's Profile:
Timothy Liu, Solutions Architect, NVIDIA AI Technology Centre, NVIDIA
Timothy Liu is a Solutions Architect at the NVIDIA AI Technology Center (NVAITC), Asia Pacific South, where he works with enterprises, startups, and research institutions on applied research and innovation, partnering with organisations across the region to translate applied research and experimental AI initiatives into real-world deployments. Timothy obtained his PhD from the Singapore University of Technology and Design (SUTD), where his research focused on paraphrasing in Natural Language Processing. During his doctoral studies, he completed a research attachment at Sony Research, working on image captioning models at the intersection of vision and language. His broader interests span Natural Language Processing, foundation models, and deep learning system architecture, with a particular focus on bridging research innovation and real-world AI deployment.
Speaker's Profile:
Andy Andrew Wee, General Manager, IES INCA - Deep Tech Accelerator
With a strong engineering background, having spent 13 years in Hewlett Packard in Product Design R&D, Andy has a keen interest in making technology work to create better life for everyone. In 2014, Andy took time off to pursue a Masters in Technology Entrepreneurship and Innovation at NTU's Nanyang Technopreneurship Centre, achieving a Director's List award for outstanding performance.
