AI for the city of the future
The city of the future starts with smarter exploitation of all available data sources.
Many of the problems that occur in large cities have their origin in the insufficient exploitation of available data sources. Think of safety, mobility, pollution and tourism. There is a huge amount of useful data available in these areas, but it is simply not used properly or optimally. At TIMi, we work with a wide range of government departments to provide a solution to these challenges.
In terms of security, it is possible to predict the number of incidents that will occur in a particular neighbourhood at a particular time. Based on this data, we can estimate the security investment needed for each neighbourhood. This allows governments to better allocate police resources, resulting in a safer city.
Tourism monitoring and promotion
The city of Brussels uses TIMi to create dashboards and maps to monitor and promote tourism in the city. In fact, any private or public institution that wants to optimize its processes and is looking for a powerful, simple, economical and fast solution can call on TIMi.
A major Latin American electricity supplier has to produce detailed financial reports for the Colombian government every year. By using TIMi for this purpose, the time to produce these reports is now 3 days instead of 63. In addition, the extraction, processing and loading processes are now so simple that they can be managed directly by the accountants.
In Africa, we analyse patterns of citizen movement using telecom data. This allows us to identify traffic flows that intersect and then cause traffic jams. This knowledge enables authorities to set priorities for investment in infrastructure and better organisation of public transport. In concrete terms, this has already led to the creation of new bus routes better adapted to the observed traffic flows. It is easy to detect congestion, but only by knowing the traffic flows can we understand what causes it and how to solve it. TIMi, with its expertise in big data and graph mining, was the ideal partner to achieve this.