Through solutions based on the analysis of satellite photos and machine learning models, it is possible to optimize the process of identifying the best land uses and analyze the areas where a construction project will be developed with a high level of detail, in order to find the optimal location and minimize investment risks.
The accelerated growth in the availability of data and the solutions and technologies being developed to take advantage of it is directly impacting all industries, and the real estate and construction industry is no exception.
Identifying the best areas to invest in, knowing what type of property is in demand in each area, whether you are looking for more rentals or sales, homes or offices, or in which segments of the population there is more demand for each type of property, is part of what can now be analyzed using modern Big Data techniques.
The real estate market is not alien to the new reality focused on analyzing large volumes of information and making business decisions based on data.
The Latin American Development Bank is calling for expressions of interest to carry out a feasibility study on the public transport system in the center of Panama City.
Public Purchase LAIF 202061471:
"The services which are the object of this invitation consist of carrying out the activities that are necessary to develop a Feasibility Study on the Public Transportation System of Panama City Center, which must contain, as a minimum, the following: proposal of a collective public transport system consisting of a tram as a structuring element and buses (or other modes) that feed and complement the former, for the city center.
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