FM newsroom – AI, facility management. Artificial intelligence (AI) is increasingly becoming a valuable asset in facility management, offering property professionals the ability to streamline processes, optimize building systems, and make more informed decisions. However, experts warn that while AI has great potential, it is not a one-size-fits-all solution. AI must be understood and implemented thoughtfully to avoid common pitfalls.
Understanding AI’s Strengths in Facility Management
AI is especially adept at handling tasks that involve large volumes of data and repetitive processes. With the right AI tools in place, facility management teams can save time and improve operational efficiency. However, it can empower building owners and operators to work smarter—but it’s not a silver bullet, Maureen Ehrenberg, president of Lessen’s commercial division, told Janelle Penny, Editor-in-Chief at Buildings.com.
- Analyzing and Processing Large Data Sets
AI excels at analyzing vast amounts of data quickly and accurately, said J. Wickham Zimmerman, CEO and co-founder of OTL. The company designed an interactive water feature at EpicCentral in Grand Prairie, Texas, that uses AI to respond to visitors’ movements with water jets and changing light colours. With cameras, AI can identify and locate objects and movement and then translate that data into output signals that control any equipment running DMX, as Zimmerman explains the mechanism behind the water jets.
- Automating Repetitive Tasks
Facility managers can leverage AI to handle routine tasks, such as entering invoice information or processing delivery receipts. By offloading these mundane activities to AI, managers can free up their time for more complex issues that require human expertise. This can lead to more efficient workflow management and improved focus on high-priority tasks.
- Retrieving and Managing Historical Data
AI tools can retrieve historical information about building assets from computerized maintenance management systems (CMMS), making it easier for facility teams to troubleshoot issues. As Ehrenberg points out, having the correct data in the system allows AI to connect the dots seamlessly, enhancing asset management and operational efficiency.
The Limits of AI in Facility Management
While AI can offer many benefits, it is not without its limitations. The effectiveness of AI tools depends mainly on the quality of the data they are trained on, and if not properly calibrated, they may produce unexpected or inaccurate results in some cases.
- The Importance of Data Training
AI systems require thorough training to function effectively. Facility managers must ensure that the data feeding the AI model is accurate and comprehensive. As Ehrenberg notes, buildings are unique in terms of design, equipment, and environmental factors, so AI must be trained to account for these variables to avoid incorrect outputs. Inconsistent or insufficient data can lead to unreliable conclusions.
- AI’s Limitations in Design and Construction
While generative AI has made strides in assisting with design and construction, it is not yet ready to fully replace human creativity, especially in complex and unique architectural projects. Zimmerman emphasizes that AI is excellent at detecting patterns and making predictions based on past information, but it still falls short when it comes to original design work.
Making Smart AI Investments: A Cautious Approach
Building owners and facility managers looking to integrate AI into their operations must take a careful, well-informed approach. While AI can offer significant advantages, investing in the right solution requires understanding both the tool’s capabilities and limitations.
- Assessing Data Readiness
Before implementing AI, it is crucial to evaluate the quality of the data that will be used to train the AI model. As Zimmerman advises, “Garbage in, garbage out” is particularly actual when it comes to AI—ensuring that the data is accurate and relevant is vital for success.
- Thorough Testing and Demonstration
Facility managers should ask for a comprehensive demonstration of any AI tool they are considering. It’s essential to test the tool firsthand to see if it aligns with the organization’s needs and objectives. Only after a thorough evaluation should AI tools be integrated into operations.
Embracing AI …with Caution
While AI technology continues to advance, facility management professionals should approach AI investments with a balanced mindset. AI offers promising opportunities for streamlining operations and improving efficiency, but it is not a cure-all. By carefully selecting the right tools, ensuring proper data training, and setting realistic expectations, facility managers can harness the power of AI to enhance their operations and make smarter decisions without falling into common traps.
