With our phones able to recognise our friend’s faces in photos, predict how long it will take us to get home or what we might like for dinner, how come our building can’t tell when the heating is broken before we get cold, precool itself when energy is cheap and clean or turn down when energy is expensive or carbon intensive?

With some data structuring and a robust cloud connection these opportunities are rapidly becoming possible.  

Join the discussion to explore what AI and big data can mean for your project and how it can change the way buildings are managed while enhancing performance and mitigating risks.

In this session you will learn:

• how to make buildings ‘machine readable’
• how AMP Capital is using AI to optimize comfort and energy in their buildings
• how Monash is working to create grid interactive, efficient buildings to go beyond net zero emission towards zero carbon

Hear from our panel:

• Robin Brimblecombe, Manager, Engineering & Sustainability, Monash University
• Dawn Beadle, Building Technology consultant, Monash University
• Daniel Lepore, Head of Asset Technology, AMP Capital
• Kieran McLean, Senior Manager Energy Advisory, FG Advisory
• Tyson Soutter, Director Global Business Development, Clockworks Analytics