In this IBM® Redbooks® publication we describe a centralized reporting and alerting system for governmental social service organizations. We include information about how to integrate key IBM building blocks to bring social services data sources together into an effective structure that allows for reporting on key metrics required by higher levels of government to help secure funding for reporting on the effectiveness of the various social service programs, and to give case workers and care providers quick and easy access to all the services ever provided to a person and their family, which can aid in the reduction of duplicate persons, and therefore, payments, in addition to reducing fraud and abuse of social services funds. The target customers for this solution are state or county social service organizations responsible for services, such as these: Caring for the welfare of children Caring for the adult and aging Getting people back to work who have fallen on hard times The intent of this book is to provide information to help with building your own similar system. We have also included an appendix containing information about the IBM Government Industry Framework and services for additional guidance and use.

In this IBM® Redbooks® publication we describe a centralized reporting and alerting system for governmental social service organizations. We include information about how to integrate key IBM building blocks to bring social services data sources together into an effective structure that allows for reporting on key metrics required by higher levels of government to help secure funding for reporting on the effectiveness of the various social service programs, and to give case workers and care providers quick and easy access to all the services ever provided to a person and their family, which can aid in the reduction of duplicate persons, and therefore, payments, in addition to reducing fraud and abuse of social services funds. The target customers for this solution are state or county social service organizations responsible for services, such as these: Caring for the welfare of children Caring for the adult and aging Getting people back to work who have fallen on hard times The intent of this book is to provide information to help with building your own similar system. We have also included an appendix containing information about the IBM Government Industry Framework and services for additional guidance and use.

Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.

As the digital government field continues to evolve rapidly, scholars and professionals must stay ahead of the curve by developing innovative solutions and gaining comprehensive insights. The global landscape of digital governance is undergoing transformative shifts, necessitating a deep understanding of historical developments, current practices, and emerging trends. This urgent demand for knowledge forms the crux of the problem that the book, Emerging Developments and Technologies in Digital Government, addresses with expert knowledge and insights. The book serves as an indispensable resource for academic scholars grappling with the complexities of digital government. It critically examines historical transitions from technology-centric paradigms to people-centric models, shedding light on the global impact of open data initiatives and the vital role of human-computer interaction in reshaping government websites. For professionals and researchers across disciplines such as library sciences, administrative management, sociology, and information technology, this book becomes a beacon, offering insights and tangible solutions to navigate the multifaceted dimensions of digital government.

This book examines the applications, trends and challenges of 5G Enabled technologies for Smart City and Urbanization systems. It addresses the challenges to bringing such capabilities of 5G-enabled technologies for smart cities and urbanisation into practice by presenting the theoretical as well as technical research outcomes with case studies. It covers key areas, including smart building, smart health care, smart mobility, smart living, smart surveillance, and IOT-based systems. It explains how these systems are connected using different technologies that support 5G access and control protocols. • Offers a comprehensive understanding of the emergence of 5G technology and its integration with IoT, Big Data, and Artificial Intelligence for smart city and urbanisation • Focuses on useful applications of Smart City and Urbanization, which can enhance different aspects of urban life • Explores the advantages of using massive IoT and predictive analytics approaches in smart cities • IoT, Bigdata, Deep learning and machine learning techniques are explained to fuel smart city and Urbanization system • Addresses both theoretical and technical research outcomes related to smart city and urbanisation with 5G technology. It serves as a valuable reference for graduate students, researchers, and m practitioners seeking to deepen their knowledge and engage with the latest advancements in the areas of Smart cities and Urbanization systems.

The emergence of highly promising and potent technologies has enabled the transition of ordinary objects into smart artifacts-providing wider connectivity of digitized entities that can facilitate the building of connected cities. This book provides readers with a solid foundation on the latest technologies and tools required to develop and enhance smart cities around the world. The book begins by examining the rise of the cloud as the fundamental technology for establishing and sustaining smart cities and enterprises. Explaining the principal technologies and platform solutions for implementing intelligent cities, the book details the role of various technologies, standards, protocols, and tools in establishing flexible homes and the buildings of the future. Examines IT platforms and tools from various product vendors Considers service-oriented architecture and event-driven architecture for smart city applications Explains how to leverage big data analytics for smart city enhancement and improved decision making Includes case studies of intelligent cities, smart homes, buildings, transports, healthcare systems, and airports The authors explore the convergence of cloud computing and enterprise architecture and present valuable information on next-generation cloud computing. They also cover the various architectural types, including enterprise-scale integration, security, management, and governance. The book concludes by explaining the various security requirements of intelligent cities as well as the threats and vulnerabilities of the various components that form the basis of the intelligent city framework, including cloud, big data, Internet of Things, and mobile technologies.