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- Title
Cognitive Automation of Real Property Management Processes.
- Authors
Nowak-Nova, Dariusz
- Abstract
The article discusses the possibility of using Automated Valuation Models (AVM), enhanced with technologies such as machine learning algorithms and artificial neural networks, for cognitive processing in the field of Facility Management. Experiments verifying the behaviour of a cognitive inference machine in the processes of operational real property management were described. The focus was to assess the functioning of decision service algorithms induced by automated inference engines which operated in the context of general information about real property. The research results confirm that the cognitive perspective, combined with advanced technologies, brings significant benefits. AVMs supplemented with cognitive technologies are able to dynamically react to varying market conditions and real property characteristics. The key aspect of the cognitive approach is that it eliminates the constraints related to different input states and lack of information, which increases the flexibility and efficiency of the processes of operational real property management. This means that real property managers can make more informed decisions while also saving time and resources. The conclusions drawn from the research confirm the importance of using modern technologies in Facility Management and open up new perspectives for the automation of management processes.
- Subjects
REAL estate management; MACHINE learning; ARTIFICIAL neural networks; REAL property; AUTOMATION
- Publication
Forum Scientiae Oeconomia, 2024, Vol 12, Issue 1, p118
- ISSN
2300-5947
- Publication type
Article
- DOI
10.23762/FSO_VOL12_NO1_6