In a relatively short time, Artificial Intelligence has begun to be used in every imaginable aspect of our lives, and even in those that it was not going to reach. And this technology is capable of being used for millions of things, which has caused its growth and adoption to be so rapid.
Without a doubt, one of the aspects where it is being used the most is for data analysis because AIs are capable of examining thousands of databases in a matter of seconds, unlike humans, who could take hours, if not days, to do. the same job.
By collecting all this information, AIs are able to make predictions (based on real information) for the future, and AI of the Fotocasa real estate portal, DataVenues callwhich not only bases its predictions on historical price data, but also incorporates information on supply and demand in each area.
And according to this real estate AI, in the coming weeks, the cities that The most likely to increase their prices are Santander (6.6%), Lugo (5.4%) and Alicante (4.9%).
“The algorithm combines historical housing price data, along with supply and demand figures for each area, to be able to make a three-month estimate on what the evolution of prices will be in each city. It is an algorithm that the DataVenues team continues to train every day to achieve the most reliable price forecast possible,” comments María Matos, Director of Studies at Fotocasa.
AI has also pointed out the other side of the coin, that is, those cities where their prices are going to go down where Málaga (3.7%), Las Palmas (3.8%) and Vigo (7.5%) stand out. while in Madrid will increase prices by 2.6% and in Barcelona by 3.5%. It should be noted that these are predictions based on data, but they could change in the coming weeks.
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