With the rapidly increasing facility management industry, it is becoming daunting to revolutionize decision making and business processes. In such a scenario, enterprises can ensure their sustainability by leveraging the potential of machine learning. However, machine learning has been widely used in businesses to get the most out of stored data.
Powered by big data, machine learning technology has become an indispensable part of the facility management domain but many companies remain unfamiliar with this approach to data management. It can be considered a powerful tool for data management, decision making and even fault prediction. Deploying machine learning in facility management can lead to streamlined business processes, improved productivity & efficiency as well as heavily reduced costs.
What Are The Ways Machine Learning Can Enhance Facility Management?
The capabilities of machine learning technology gives facility management industry advantages that they’ve never had before. Now, it is easier and smoother to deliver greater efficiency and automate a plethora of tasks associated with facility management while improving performance standards. Here are 3 ways machine learning can enhance facility management:
- Smarter Data Driven Decisions
- Monitoring System vulnerabilities And Predicting Challenges
- Strategic Data Optimization
Smarter Data-Driven Decisions:
When machine learning is combined with predictive analysis and implemented in business processes, it creates building patterns and trends for different KPIs and data streams, that lead to the optimization of resource utilization. Also, it provides a great possibility to generate new value from the existing set of data and enable a facility management team to rely on while making decisions.
Data-driven decisions with machine learning may follow the below trajectory:
- External data such as air temperature from the outside environment can be collected by an AI algorithm.
- Machine learning with artificial intelligence technology helps in HVAC (heating, ventilation, and air conditioning) control decisions.
- AI connects with BMS (Building management system) through IoT (Internet of things) gateway.
- Machine Learning dynamically optimizes HVAC setpoints for temperature and pressure.
Monitoring System Vulnerabilities And Predicting Challenges
With machine learning technology, it is possible to identify when the processes in facility management are not operating at optimal levels. Facility managers get alerts about any abnormalities before they make the business processes worse. In such a scenario, the self-monitoring feature with machine learning technology helps facility managers be efficient, deal with potential issues, save time and money, and ensure business continuity.
With timely alerts through FM technology, facility managers can have an idea about what actions to take through automated processes. This benefits the whole facility management team to monitor faults easily while preventing expensive downtime that can have a detrimental effect on any business. Based on track or historical data records, machine learning determines any abnormalities in the systems and notifies operators. This would be a great addition to managing HVAC and efficiently create an environment of comfort.
- Strategic Data Optimization:
Machine learning technology facilitates facility management by transforming data into valuable insights. Its algorithms analyze, sort and categorize data automatically based on its processing approach and type needed. It enables the team of facility managers to identify the information required to enhance facility management. From lighting to HVAC, there is a lot of data that is meant to be dealt with by facility managers. With machine learning, it is possible to create better coordination of building systems which are becoming complicated over time. Machine learning also provides a better understanding of how different building systems interact.
To leverage the full capabilities of machine learning, facility managers must ensure that they have an efficient system for data storage and management. Most of the businesses make use of older processors and equipment that do not even match the set technology standards, that limit them to grab the new opportunities.
Facility managers must keep in mind that when switching over legacy equipment, they should be aware of the machine learning capabilities in their new technology. This is not just about staying up-to-date about the latest technology trends, but it also acts as a smart investment in facility management because machine learning technology is always growing terms of features.
There is no doubt that machine learning is growing at a rapid rate and improving the way facility managers handle different operations. It helps facility managers have improved quality, decision speed as well as consistency. Machine learning also reduces operational costs while setting up the facility management industry to flourish in the coming future.
The role of facility management is to ensure operational continuity, improve estate efficiency and merge legacy buildings along with their systems. Deploying machine learning coupled with IoT technology is the best way to make buildings less energy-wasting and more intelligent. The machine learning-based data management solutions ensures that manufacturers, builders and operators save both time and cost, optimize data and respond promptly to complex anomalies.