The global crisis that unfolded last year drew attention to the importance of data. It is no coincidence that in the Hungarian real estate market, facility managers and property managers are paying more and more attention to data collection. Based on the information gathered, better and more energy-efficient services can be implemented within buildings. But how much can we rely on artificial intelligence in this process?
Data collection—or simply put, statistics—has long been a part of our lives, and results can be applied across many topics and occasions. However, during the incredible pace of development over recent decades and years, concepts such as cloud computing and IoT systems have emerged, placing data analysis into a new dimension. These technologies enable professionals to take a leap forward in decision-making processes.
Analyses and patterns are now merging into increasingly complex data sets. Companies dealing with commercial real estate have access to more market data than ever before and can use these technologies to improve asset efficiency and reduce risks. Ultimately, this also allows for the optimization of investment and portfolio performance.
Among other things, machine learning and artificial intelligence create opportunities for investment companies and fund managers to perform simulations in the field of commercial real estate. This means analyzing properties based on key factors to determine which could become the best investments in the years ahead. They can collect information on market conditions, operations, tenant demand, and the socio-economic challenges ahead—using these insights to prepare well-informed decisions.
If you are interested in the continuation of the article, read it on Realista.