Government & Public Sector

Use cases: Machine Learning Solutions

Employees in the Government and Public Sector often have to perform monotonous tasks or deal with repeated requests. Automating these tasks is an efficient solution, as it frees up time for employees to use in more complex problems where creative problem-solving is needed. Machine Learning can also help in dealing with citizen’s queries more efficiently, as well as improving security via automatic monitoring.

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Automating simple, repetitive civil services completely

Repetitive tasks are often a textbook case for being supported by automation. A computer, more specifically a Machine Learning model never loses focus or precision, excels at dealing with large quantities of data, and is also able to quickly “remember” various rules and regulations. Long-term costs are reduced and human employees can dedicate their time to more complex problems.

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Helping citizens to find and request the required service, e.g. by Chatbots or Question Answering

A Question-Answering system or a Chatbot can answer citizens' common questions or guide them to the relevant source. These automated solutions cut the waiting time, and even if a human employee is still needed, the bot can label the questions so by the time the employee enters the interaction, they can focus on the question itself instead of first having to deal with the administrative details.

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Automating and updating sovereign duties and information services based on satellite imagery

Computer Vision methods excel at analyzing complex imagery such as satellites. Governments can use these methods to automate sovereign duties, such as continuously monitor areas in order to protect certain areas or buildings. A Machine Learning system would alert a human expert any time it detects an activity that deviates from the expected patterns in real-time.

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