In one of the sessions on the first day of the Global Proptech Summit, the General Real Estate Authority revealed the steps it relies on to improve the classification of real estate data, according to the following steps:
- Recategorizing sectors by street width.
- Correlating raw data using location variables.
- Integrate with satellite imagery.
- Using a geographic AI model for land classification.
- Correlate results with census data.
The speaker also revealed an example of using a geographic AI model and census data that can distinguish between a building and land, and help correct misclassifications that were previously identified as land to become a building.
The Saudi capital Riyadh will host the “Global Proptech Summit” on Sunday, organized by Public Authority for Real Estate under the patronage of H.E. the Minister of Municipalities and Housing, Mr. Majid bin Abdullah Al-Hogail, and in strategic partnership with the National Housing Company (NHC). Real Estate and Real Estate Technologies, in addition to more than 100 speakers representing 80 countries, who will share their experiences and expertise with thought leaders and CEOs of major real estate and real estate technology companies, as well as investors from around the world.
The summit is widely attended by prominent personalities, global experts and specialists in the fields of real estate and real estate technologies, in addition to more than 100 speakers representing 80 countries.
The summit will also highlight the applications of Proptech solutions in urban development and their role in making smarter decisions to enhance investments and financial sustainability.
