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Smart City

Manage and analyze data in real time with Isaac.
Increase the effectiveness and the reliability of services and Infrastructures

Scenario

In a connected world public organizations have to deal with the great amount of data coming from everywere. City, local and state governments have the increasing need to create and manage infrastructures built for connected objects, as sensors, smart meters, medical devices, Road Telemetry Devices, fleet management sensors and so on. All this devices  are connected to the internet and generate a big amount of data which have to be collected and managed to extract valuable information and use them for predictive analysis.

Predict crimes

Isaac is more than a data base management platform, it provides APIs for predictive analysis to prevent events before they happens.

In Smart Cities this means that you can predict crime through the analysis of historical and geographical data, in order to guarantee security and safeness of people. Police can stop crime without needing to put themselves at risk of harm.

Improve public transport

Transport operators use data and analytics to make sure that the vast majority of journeys run smoothly. Data managed through Isaac can be used to predict the number of travellers in specific periods of the year, and make sure that transport runs effectively. This use of data creates effective and flexible public transport, decreasing delays and increasing efficiency.

Increase sustainability

Monitoring and control inside places is the key of sustainability, so you can make changes in order to keep output at a certain level. Data is the most decisive factor, it allows governments and companies to see how their outputs are having a positive or negative result on the city as a whole. It’s important to check and control level of pollutants for example. The objective in this case is to reduce the pollution output and use new technologies in order to reduce damages.

Optimize waste management

Improving the waste collection system means improving population’s health and the aesthetic of cities. By using Big Data, scientists can combine geographic and socioeconomic information to see where waste is distributed and identify a better way to manage them. Waste can produce a huge amount of data such as weights, quantity, waste generation maps which highlight areas for improvement. Isaac can manage all these information easily and quickly, and can provide Machine Learning applications to predict and find solutions that improve drastically life and health of people inside cities.

 Easy, quick, versatile.

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