How AI/ML Turns Building Data Into Useful Data

Every second buildings produce the data owners and operators need to optimize operations and drive additional revenue but few have the capability to collect, analyze and leverage that much information. Prescriptive Data VP, Customer Success Aaron Brondum breaks down how artificial intelligence and machine learning can be used to collect, clean, and analyze data, turning it into something useful operators can act on to drive more profitable and sustainable real estate operations.

Speakers:

Aaron Brondum

VP, Customer Success @ Prescriptive Data

Michael MacMahon

Intelligent Buildings Consultant @ Newcomb & Boyd


Realcomm

Previous
Previous

Carbon Zero Mindset: Landlord and Tenant Partnership

Next
Next

The Transition to Net Zero: The Critical Role of Data, Energy Efficiencies & Climate Action Crusaders