The digitalisation of facilities management is revolutionizing how organizations optimize their workforce and energy consumption. In the session titled “Navigating Changes in Facility Management via Effective Digital Transformation” attendees will learn about the transformative impacts of digital tools and technologies on managing workflows, human resources and energy systems. This session will introduce innovative solutions that enhance communication, improve operational efficiency, and reduce energy costs. Participants will also explore case studies showcasing successful digital implementations that empower facility managers to make informed decisions based on real-time data.
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Ir Dave Chan
Chief Executive, Information, Communications & Building Technologies
ATAL Engineering Group
ATAL Engineering Group
Chief Executive, Information, Communications & Building Technologies
Ir Dave Chan is the Chief Executive of Information, Communications & Building Technologies at ATAL Engineering Group. He oversees the ICT, energy management, and smart building businesses of the Group. He is a Registered Professional Engineer, a BEAM Professional, and a Member of the Hong Kong Institution of Engineers. Dave has extensive experience in building technologies, specialising in BMS, energy management, and air-conditioning systems. He also leads a dedicated R&D team at ATAL to carry out product development in areas involving AI analytics, machine learning, energy optimisation, and IoT technologies.
My Sustainability Goals for 2025:
AI-Driven Predictive Maintenance for Sustainable Smart Buildings
The goal is to implement AI-driven predictive maintenance systems in smart buildings to enhance sustainability and operational efficiency. By using machine learning algorithms to analyse data from IoT sensors embedded in building systems, we can predict equipment failures before they occur. This proactive approach minimises downtime and reduces the need for emergency repairs, which often lead to increased energy consumption and resource waste. Additionally, AI can optimise maintenance schedules, ensuring that systems like HVAC and lighting operate at peak efficiency. By extending the lifespan of equipment and reducing unnecessary energy use, this strategy not only lowers operational costs but also significantly contributes to the overall sustainability goals of smart buildings.
AI-Driven ESG Reporting
Establish AI systems that automatically collect and analyse data on energy usage, water consumption, and carbon emissions across facilities. This approach will enable accurate ESG reporting and facilitate informed decision-making, helping organisations to continuously enhance their sustainability practices and comply with regulatory requirements. By leveraging real-time data, businesses can identify areas for improvement and implement strategies that promote environmental responsibility.
IFMA Hong Kong Chapter, established in 1992 was the first Chapter formed in Asia. The Chapter supports over 600 IFMA members in Hong Kong by offering diverse educational and networking events, international accrediting programs, and empowering its members to learn, connect and advance.