- Nov 27, 2019 9:00 am GMTNov 25, 2019 12:34 pm GMT
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This item is part of the Special Issue - 2019-10 - Artificial Intelligence, click here for more
Facilities Management Artifical Intelligence Needs Quality Data
Facilities managers need to consider a new diet, and it begins with vitamin AI, as in artificial intelligence. That is the recommendation from Tango CEO Pranav Tyagi, who says so in a recent piece titled, “AI Will Eat The Fat Out Of Facilities Management if We Learn How To Feed it Quality Data.”
Selecting Quality Data
Rich datasets are crucial, and not easily managed at this early stage of market development. Alvin Ng from Johnson Controls notes that data quality and quantity are of paramount importance. He adds that, “since a significant amount of data is needed to train the algorithm, a high quality of data input into the model is essential to enable better predictive capabilities. However, obtaining sufficient quality labeled data can be costly and often depends on human experts to perform the labeling.”
Data is key to using artificial intelligence to improve facility management, according to Navigant Research. Organizations need a lot of data to train their systems and develop sound algorithms. One challenge is making sure that they are working with quality information. Data input depends on humans, who sometimes make mistakes. How much interest does your company have in facility management AI? How clean is your data?
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