Ways Artificial Intelligence Can Optimize Building Management

Artificial intelligence (AI) in building management (BM) and/or facilities management (FM) teams, increases the ability of managers and the team to oversee details and insights affecting day-to-day operations. In this article, we are going to share a few other ways AI could impact BM teams and organizations as a whole for the better.

Lowering energy consumption while increasing monetary savings

AI is completely changing the way some organizations cut costs in vital areas of operations like energy, staffing, security, and even finance. The AI algorithm analyses historical data and uses that information to attempt to build a neural network—or a collection of software or hardware designed to mimic that of a human mind—and teach it how to do something. In this case, it would be to improve the efficiency of a building.
With AI, not only are organizations able to save cost on essential operations, but employees can now work more efficiently as their resources are being effectively freed up and roles elevated to more strategic vistas.

Improvement in building security and protocol

AI isn’t just helping FM teams make smarter decisions, cut costs, and optimize building operations. It’s keeping organizations safer—both online and in person.
For security purposes, AI helps to track and alert threats, while reducing the need for human intervention. Usually, AI security systems are built to flag possible threats by studying what is “good” and “bad” behaviour. AI can also be used to secure confidential data such as employee and customer records, organizational data, and more. And when it comes to keeping the company physically secure, AI can be used to improve the current protection structure.

Better predictive maintenance

In 2020 and beyond, many organizations would approach maintenance not just as preventative, but as predictive. Predictive maintenance differs from preventative maintenance in that it takes on a more proactive approach.
Instead of receiving alerts when your system will be due for maintenance following a timeline, predictive maintenance will alert you when something should be done, even if it is not the time for scheduled maintenance. After all, things don’t break on a daily basis (usually). But with predictive maintenance, you can get a better understanding of the health of your processes, making it simpler and more cost-effective to interfere when appropriate.
Preventative maintenance can also be expensive. Facilities management teams may use AI to help decide when to use as-needed maintenance rather than conducting routine (and often unnecessary) maintenance. Organizations may potentially save 40 percent on preventative maintenance by implementing AI to track their activities, reduce the amount of hours spent on preventative maintenance by 50-70 percent, and reduce the number of breakdowns by 70 percent by implementing AI to monitor their maintenance efforts.

What does the future of building management look like with AI?

Future prospects for facility management with AI technology are rising exponentially. From improved productivity and performance to activities and experiences that are interactive and responsive to their occupants, the possibilities with AI are endless.

A big challenge in creating AI-powered solutions that can work with all integration protocols and the various types of equipment used in smart buildings is the standardization of data gathered from every system. Artificial Intelligence Technology Solutions (AITS) has overcome this by adding an element in their software that pre-processes data in real-time and feeds it to their smart algorithm.

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