Overview
AI-GOV : International Conference on Government Computing.
The AI-GOV conference will concentrate on government preparedness for the AI revolution and its various aspects.
The conference aims to explore the potential of AI to transform government operations, creating a more intelligent and efficient administration that better serves citizens.
Concept
The world of AI for government offers the potential
to revolutionize work methods and create a smarter, more efficient government aimed at optimally and effectively serving citizens.
In this conference, we will explore
the possibilities, challenges, and infinite potential of these technologies as part of the fascinating discussion on the future of governments in the digital age.
AI for government –
In today’s modern world, artificial intelligence (AI) technologies are not only a field of advanced research and development but also a fundamental tool for transforming and changing the face of government and public services in an unprecedented way.
The future of AI for government, upgrading decision-making processes and state management.
Deep learning and advanced analytics capabilities enable local and national authorities to transform accumulated data into accurate and efficient computerized recommendations, reducing efficiency and performance gaps.
Results
What is important in the world of AI for government?
Improving public services:
AI automation and optimization
of processes, including improving the availability and quality of services to citizens, legislation, and budget management: AI assistance in analyzing financial data for transparency, reducing exposure to financial risks, and improving public budget management, AI analysis capabilities
to improve government response to cyber and other threats, and strengthening the ability to deal with threats in real time.
AI technologies for government
improve performance and reduce costs, promote equality, and increase transparency.
Analyzing terms and data, responding accurately to citizens’ needs, and promoting evidence-based public policy.
