AI Automation

Deep learning on usage of consumables like electricity, water and other mechanical items state and positions.

Artificial intelligence (AI) has the power not only to automate buildings but also to make them truly adaptive, smart, and agile, with the use of AI analytics helping to improve operations, reduce inefficiencies, and lower costs across building platforms in a wide range of industries.
While buildings have traditionally been perceived as stiff, fixed forms that merely provided a shell for its inhabitants and for the activities being conducted inside, structures outfitted with building management systems (BMS) are becoming more interactive and responsive to their occupants.
As a result, building owners are increasingly interested in what transpires inside buildings at any given time, utilizing the knowledge and insights they obtain to improve building management, create better staffing plans, and reduce the operational costs of maintaining their business infrastructure in the hope of achieving higher profits.
In an ideal scenario, BMS platforms would run building systems based on conclusions drawn through the use of artificial intelligence, machine learning, and other complex statistical methods.
The platform would then automatically adjust various subsystem settings without requiring involvement of the facilities manager, except for the approval of fundamental platform-level changes in specific circumstances. While most AI solutions currently available are incapable of operating in such a model scenario, machine learning is increasingly being used across the buildings industry for more efficient operations.
These and other findings can be found in my new report, Artificial Intelligence in Smart Buildings, a comprehensive examination of the potential presented by artificial intelligence in smart buildings, as well as a roadmap showing both opportunities in the market and barriers to the wider adoption of AI-based solutions across a variety of end-user sectors.