E-government


E-Gov: Smart governments, smart solutions; how Karnataka, Madhya Pradesh are looking to enhance productivity

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The government of Karnataka has decided to partner US tech giant Microsoft to use artificial intelligence (AI) for digital agriculture. The collaboration intends to empower smallholder farmers with technology-oriented solutions that will help them increase income using ground-breaking, cloud-based technologies, machine learning and advanced analytics. The collaboration will experiment with the Karnataka Agricultural Price Commission (KAPC), department of agriculture to help improve price forecasting practices to benefit farmers. Microsoft, with guidance from KAPC, is attempting to develop a multi-variant agricultural commodity price forecasting model considering the following datasets--historical sowing area, production, yield, weather datasets and other related datasets as relevant. For this season, Tur crop has been identified for this prediction model.


"Artificial Intelligence is the next step for e-governance in Estonia", State adviser reveals -- e-Estonia

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Today marks a significant moment in the life of Estonian digital society: government officials and advisors shine a light on the opportunities of implementing Artificial Intelligence (AI) based solutions as a further upgrade to the already advanced level of the services provided by private and public organizations for the benefit of Estonian residents. Speaking to Marten Kaevats, adviser for digital innovation at the strategy unit of the Government Office of Estonia, it has emerged that experts at Stenbock House have started to discuss feasibility and legal frameworks for the application of Artificial Intelligence technologies to everyday life tasks of Estonian citizens. Self-driving vehicles are just the beginning: "Working only on traffic laws is kind of unreasonable – Kaevats says – because the issue of Artificial Intelligence is much wider and the scope is quite bigger than just dealing with traffic laws". Different approaches are being discussed at the moment on the legal scenarios we could see taking shape in the future, but the issue of liability in case of accidents or malfunctions is undoubtedly at the core of the debate: "The main aim of this regulation is to define liability for Artificial Intelligence [malfunctions] in an user-friendly way, so that citizens on the street would actually understand in case of incident, or some other kind of accident for example, who exactly is liable in every particular case".


IoT: New Paradigm for Connected Government @ThingsExpo #AI #DX #IoT

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With secure and accessible information government business makes more efficient, data driven, changing the lives of citizens for the better. IoT focused Connected Government solution helps in rapidly developing preventive and predictive analytics. The vision of any Connected Government in the digital era is "To develop connected and intelligent IoT based systems to contribute to government's economy, improving citizen satisfaction, safe society, environment sustainability, city management and global need." IoT: Drivers for Connected Government IoT can increase value by both collecting better information about how effectively government servants, programs, and policies are addressing challenges as well as helping government to deliver citizen-centric services based on real-time and situation-specific conditions.


IoT: A New Paradigm for Connected Government @ThingsExpo #AI #ML #IoT #DX

#artificialintelligence

With secure and accessible information government business makes more efficient, data driven, changing the lives of citizens for the better. IoT focused Connected Government solution helps in rapidly developing preventive and predictive analytics. The vision of any Connected Government in the digital era is "To develop connected and intelligent IoT based systems to contribute to government's economy, improving citizen satisfaction, safe society, environment sustainability, city management and global need." IoT: Drivers for Connected Government IoT can increase value by both collecting better information about how effectively government servants, programs, and policies are addressing challenges as well as helping government to deliver citizen-centric services based on real-time and situation-specific conditions.


IoT: A New Paradigm for Connected Government @ThingsExpo #AI #ML #IoT #M2M

#artificialintelligence

IoT focused Connected Government solution helps in rapidly developing preventive and predictive analytics. The vision of any Connected Government in the digital era is "To develop connected and intelligent IoT based systems to contribute to government's economy, improving citizen satisfaction, safe society, environment sustainability, city management and global need." IoT: Drivers for Connected Government IoT can increase value by both collecting better information about how effectively government servants, programs, and policies are addressing challenges as well as helping government to deliver citizen-centric services based on real-time and situation-specific conditions. Information Flow in an IoT Scenario The Information flow in Government using IoT has five stages (5C): Collection, Communication, Consolidation, Conclusion and Choice.


How Artificial Intelligence Will Usher in the Next Stage of E-Government

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Since the earliest days of the Internet, most government agencies have eagerly explored how to use technology to better deliver services to citizens, businesses and other public-sector organizations. Early on, observers recognized that these efforts often varied widely in their implementation, and so researchers developed various frameworks to describe the different stages of growth and development of e-government. While each model is different, they all identify the same general progression from the informational, for example websites that make government facts available online, to the interactive, such as two-way communication between government officials and users, to the transactional, like applications that allow users to access government services completely online. However, we will soon see a new stage of e-government: the perceptive. The defining feature of the perceptive stage will be that the work involved in interacting with government will be significantly reduced and automated for all parties involved.


An AI Framework for the Automatic Assessment of e-Government Forms

AI Magazine

This article describes the architecture and AI technology behind an XML-based AI framework designed to streamline e-government form processing. The framework performs several crucial assessment and decision support functions, including workflow case assignment, automatic assessment, follow-up action generation, precedent case retrieval, and learning of current practices. To implement these services, several AI techniques were used, including rule-based processing, schema-based reasoning, AI clustering, case-based reasoning, data mining, and machine learning. The primary objective of using AI for e-government form processing is of course to provide faster and higher quality service as well as ensure that all forms are processed fairly and accurately.