AI for smart city services development
Life in densely populated urban areas changed the way people conceptualize their activities and interests. For the long-time mobility networks in urban spaces are considered to be traffic networks, but with the massive expansion of Internet and GPS technologies, a new concept of mobility networks started to arise – virtual mobility network. Location data became ubiquitous due to global adoption of smartphones, the worldwide availability of GPS and advanced location-based applications. The value of such data is immense as they contain spatial-temporal patterns of massive number of people, but due to its size and complexity the companies are struggling to keep up with the market and to monetize the data they already have.
Mobility of people in urban areas is driving force of the life and economy, but do we really know how to improve the life in large cities? The best way to start is to learn from the user generated data to see what people really need. Location-based social media companies collect large amount of data about people movement and interest, but they often keep their services virtual. To bridge the gap between virtual and physical space, we developed an analytical pipeline based on AI that uses geo-tagged social media data to predict the context of locations that are frequently visited together.
With our solution, the companies that have large amount of user generated data can propose solutions for new services development in urban areas and monetize their data in novel ways. We carefully designed our pipeline to keep the highest level of data privacy, as we use only non-personal information from the data as input to our AI models.
If you would like to learn more about our projects, contact us at info@navanait.com
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