As the European consulting company Sopra Steria writes on its website, 63 houses in the Trondheim commune are currently assessed using artificial intelligence. The result of such an assessment is millions in savings, fewer complaints and a fairer property tax.
Also read: On Wednesday, March 20, 23 toll collection points will open
– We saved a huge amount time and resources, solving most problems digitally and in cooperation with citizens. With a more up-to-date and accurate rate for all homes, the tax burden is distributed more fairly, says project manager Stine Borge Nordskag. He is the head of the real estate and address department in Trondheim commune.
Also read: Oslofjord-tunnelen will be closed for four days in March
Artificial intelligence ensures a fairer property tax
Last fall Trondheim received prestigious audience award for the machine learning project at NOKIOS 2023.
Machine learning – (machine learning), machine learning or learning systems. This is a specialization in artificial intelligence that uses statistical methods.
Thomas H. Thoresen, Machine Learning and Artificial Intelligence Specialist at Sopra Steria, says this is well deserved:
– With limited resources, the municipal property tax department assessed all homes throughout Trondheim thoroughly and fairly. Other municipalities should follow this trend, says Thomas H. Thoresen from Sopra Steria
Huge set of parameters
In 2019 year Trondheim commune faced a difficult choice. Since the previous round of assessments at the beginning of the millennium, the value of homes in the borough has more than doubled on average since the last valuation update. Since 2003/2004, the commune has had an average number increase apartments by approximately 2 to 000 per year. Should the municipality allocate large resources to a new manual revaluation? Or maybe it was better to calculate the value based on the nationwide housing value model, which took little account of local conditions? Moreover, the commune was missing values by approximately 10% with this calculation method. housing stock.
Instead, the municipality chose a third path: valuing housing stock using machine learning and artificial intelligence. Early concept tests showed promising results, and the project group began identifying and reviewing parameters.
– We started with a huge set of parameters, such as plan data, plot slope, proximity to the school and building data. Then we gradually eliminated the factors that had little impact on the performance of the model - says Stine Borge Nordskag, project leader from the municipality of Trondheim.
100 houses in 000 minutes
After serious work on the machine learning model and related laws and regulations, there was a need to integrate the model with the municipal subject system for tax from real estate, as well as MinSide. Ultimately, the task was entrusted to Sopra Steria.
– In addition to being a good sparring partner in the field of machine learning, Sopra Steria helped us implement a professional application that supports the machine learning model and lowers prices at the user unit level. We are now able to assess all 103 commercial premises in the municipality in about 000 minutes, says Nordskag.
Thanks to integration with MinSide, homeowners can enter and correct factual information about their home from their couch. In addition to greater accuracy, this also helped make the program more transparent and inclusive.
2023 was the first year in which the new property tax calculation method was used in the municipality of Trondheim. The housing tax base subsequently increased by 260 billion NOK compared to the previous revaluation. During the complaint period, the commune received less than half the number of complaints compared to 2004.
Stine Borge Nordskag does not hesitate to call the project a great success
– This is a good and exciting solution that shows how machine learning can be used in public administration. We believe this could potentially be very useful for other municipalities. While the model obviously needs to be adapted to local data, there is no need to reinvent the wheel. We are open to dialogue and contact, he says.
Czy other municipalities in Norway Will they also benefit from such a solution? The world is certainly changing, and artificial intelligence is strongly entering our lives in almost every field.
Like us on Facebook and share our post with others
Source: Sopra Steria consulting company, Photo: pixabay
Also read: Now the invoice will be issued monthly
