Think about where you want to live in the future. A city with perfect transportation? A city with low amounts of emission? A city with good infrastructure and healthcare?
Urban development based on technique.
As the exploration and usage of advanced techniques such as Internet of Things, Artificial Intelligence and BigData is normalized the city development is turning more advanced. Smart Cities are developed to solve urban problems with technique. The Smart Cities are based on different types of data collection from citizens and sensors used to analyze and compare resources for different social services. A Smart City integrates information and communication systems in a Internet of Things network. The network and data is used to make life easier for you as a citizen and keeps the environmental issues in control.
The digitalization of society is happening within all sectors and the key to all of that is the overflow of data that needs to be put into context. The ambition with smart cities and societies should be for the advantage for its citizens. But without a plan for a structured model that will work for all these tools it wont work. To integrate these techniques into smart cities it will be important with good information architecture. Another inevitable part of the development is a semantic AI-layer that glues the different parts of the information together.
Want to know our take on information management? Read our guide - Information Chaos
Future with Smart Cities
Most social services will likely change a lot in usage and performance in the future. Management of traffic and transportation systems, water supply, waste management, law enforcement, information systems, schools, libraries, hospitals and so on. Here are some examples:
Handling traffic with sensors inside the street lights can give insightful data about rush hours and traffic optimization. Sensors in street lights can detect CO2 emission in real time. Smart parking services can guide you directly to open parking spaces, keeping you from lurking around and saves you time and energy.
As people talk more about environmental concerns the usage of bikes and bike rental is turning more popular. Stations where bikes ar picked up/left of are often problematic. They may be empty or full, which makes it difficult to use the bicycles effectively for residents. This is due to large fluctuations in demand during rush hours and bad weather conditions. One way to mitigate these problems is with linked data and geographic predictive analysis of data on demand. This gives the bike rental companies information about which where in the city stations should be and how many bicycles per station are the right number.
IoT analytics platforms can result in a large improvement for companies in medical techniques. By using information and connecting devices out in the field you can increase efficiency based on market, product design, software development and customer satisfaction.
The experience for patients in hospitals can be improved drastically with [IoT technology](https://www.rdmag.com/article/2017/09/hospitals-get-smart-iot-technology#ptlink.fid=29329&isc=1&did=bookmark .bb8486307d0b63c9fd6427ce2e9ba275ac05dd4c). Spread sensors can control the temperature and differential pressure to increase the satisfaction. Most importantly, however, you can keep the heat on a perfect level to counteract the appearance of bacteria.
- Waste management
Findwise and the waste management company Renova have made their weighing of waste more effective. This was done by mapping the truck's movement geographically. By analyzing where most invitations were made, Renova could know where to place their emptying stations.
Rather than having a fixed schedule for emptying the trash cans, sensors can send information about which trash can need to be emptied at precise times.
Based on geographical needs Findwise helped Göteborg Energy to make decisions about installing a large amounts of electric charging station. Findwise acted as a strategic advisor in data driven solutions and performed GIS (Geographic Information System) analysis. All of which with the help from open data-sources or already available data. This helped Göteborg Energi to work toward their goal - sustainability.
- Social Services
Different social services should strive towards a future with connected and shared data between different sectors. To share data can be a crucial factor for higher efficiency
Deeper reading about Smart Cities.
Report from EVRY - Framtidens samhälle
Recorded Webinar - Smart Cities - No AI without IA
Blog post - Benevolent & sustainable smart city development
Semantic AI-layer - How Semantic Technologies Can Help Smart Cities Succeed