The adoption in government services varies based on needs, priorities and resources of each government entity. However, in general, the most relevant realautomation technologies have the potential to transform services.
Analyse data, learn patterns and make decisions without human intervention. Machine Learning, Deep Learning and Natural Language Processing are some of the subfields of AI. Widely used in government services for data analysis, decision-making, pattern recognition and predictive analytics.
Enables machines to process visual data allowing them to recognise people, objects and actions. Can be used in security and surveillance applications, such as facial recognition and license plate recognition, to enhance public safety and law enforcement.
Be integrated into smart city infrastructure to enable real-time monitoring and control of traffic, public utilities, and other public services. IoT can also help in disaster management, environmental monitoring, and energy management.
Improve transparency, security, and efficiency in various government services, such as land registration, voting, supply chain management, and identity verification.
Transform various aspects of government services by providing immersive, interactive and engaging experiences.