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AI poised to transform the FM landscape

Artificial intelligence (AI) is set to transform the future landscape of facilities management, according to global real estate advisor, CBRE, who says early adopters of this evolving technology can expect to enhance efficiency, reduce operational costs and improve the overall occupant experience.

In its AI series, CBRE uncovers the ways in which FMs can use AI to streamline processes and ultimately deliver greater value to clients and occupants. One key use of the technology is data analysis. AI can streamline workflows and reduce errors, leading to higher quality outcomes and better overall performance. Machine learning AI algorithms can analyse and interpret vast amounts of data quickly, providing valuable insights that can help in decision-making and strategic planning for FM.

CBRE says by linking datasets from many different sources, such as asset optimisation, risk and energy performance, AI gives a simultaneous and holistic view of a building or estate’s performance. Looking at many datasets at the same time, rather than viewing them in silos, enables FMs to improve service across a range of indicators – such as optimising performance, reducing cost or reducing carbon emissions. This 360-degree estate analysis enables FMs to work more collaboratively with their clients and colleagues to deliver an enhanced service.

In addition, CBRE states AI has the power to significantly transform the workload of FMs by undertaking repetitive tasks, like reviewing occupancy data for workplace comfort and adjusting building maintenance systems. Taking advantage of administrative efficiencies could speed-up many processes and deliver faster resolutions for clients. This also allows employees more time to focus on more complex, creative, and business-critical tasks – thereby enhancing job satisfaction and overall productivity.

With net zero deadlines approaching, there is increased focus on what AI and emerging technologies can do to accelerate progress. Smart systems that use AI can study patterns in a building’s energy usage and suggest tactics for decreasing consumption. By optimising lighting schedules, heating, ventilation and air conditioning according to occupancy and other external factors, machine learning algorithms can result in substantial energy savings.

Jennet Siebrits, Head of UK Research at CBRE, said: “AI is at the forefront of technological innovation, driving advancements in sustainability and data. By integrating new technologies into operations, facilities managers can adapt to changing market trends and offer more innovative solutions to their clients. Those who can bridge theoretical knowledge with practical implementation, while managing the ongoing risks, will be able to most significantly capitalise on the benefits of AI.”

To explore CBRE’s series on AI click here.

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