Publisher's Synopsis
Intelligent information management was traditionally defined as "a set of processes and underlying technology solutions that enables organizations to understand, organize and manage all types of data." While intelligent information management initially focused more on smart data management and gaining intelligence out of the different data types, the focus has been shifting to effective and integrated information management for intelligent organizations and actionable knowledge. The breakneck rate at which information is created, processed, packaged and communicated widely exceeds the rate at which individuals can absorb it, contributing to a constant struggle to transform data into actionable knowledge. One reason for this is that even though we live and work in an information age, our information is processed and managed in a manner that recalls the industrial age, especially in terms of an assembly line sequence of processing stages. Although significant advances have been made in the areas of distributed computation and parallel processing, most legacy information applications still operate in a linear fashion, creating "processed information" in isolated stages, the same way that cars are manufactured. This factory-style processing creates artificial barriers to the effective use of information, leading to lost opportunities and decreased competitiveness. Alternatively, some organizations are moving toward a more knowledge-centric view where information is seen as a critical corporate asset that can be used to significant competitive and strategic advantage. This signals the migration from an industrial age view of data to a knowledge age view, where many data sets are aggregated, fused, enhanced and broadcast to share an enterprise-wide knowledge base. Intelligent Information Processing and Management is a compilation of research articles by renowned experts in related fields such as information systems, distributed AI, intelligent agents, and collaborative work, to explore and discuss various aspects of design and development of intelligent technologies. This book will be of valuable for academics and practitioners to explore research issues related to not only the design, implementation and deployment of intelligent systems and technologies, but also economic issues and organizational impact. Obviously, the dimension of processes, data management and technology remains crucial. You cannot have intelligent information without first capturing the different data, setting up databases and integrations, share data and make sure everything happens in a connected and secure way (including back-ups, etc.). When talking about intelligent information management, data, software, and enterprise software such as business intelligence and technology are never far away. Intelligent information management is a broad topic that also includes storage (inevitably moving to the cloud, intelligent document capturing, information processing and intelligent document recognition, to name just a few (increasingly real-time). And finally it is about information management, another broad term that also includes several more specific areas such as document management and enterprise content management. Intelligent information management was traditionally defined as "a set of processes and underlying technology solutions that enables organizations to understand, organize and manage all types of data." While intelligent information management initially focused more on smart data management and gaining intelligence out of the different data types, the focus has been shifting to effective and integrated information management for intelligent organizations and actionable knowledge. The breakneck rate at which information is created, processed, packaged and communicated widely exceeds the rate at which individuals can absorb it, contributing to a constant struggle to transform data into actionable knowledge. One reason for this is that even though we live and work in an information age, our information is processed and managed in a manner that recalls the industrial age, especially in terms of an assembly line sequence of processing stages. Although significant advances have been made in the areas of distributed computation and parallel processing, most legacy information applications still operate in a linear fashion, creating "processed information" in isolated stages, the same way that cars are manufactured. This factory-style processing creates artificial barriers to the effective use of information, leading to lost opportunities and decreased competitiveness. Alternatively, some organizations are moving toward a more knowledge-centric view where information is seen as a critical corporate asset that can be used to significant competitive and strategic advantage. This signals the migration from an industrial age view of data to a knowledge age view, where many data sets are aggregated, fused, enhanced and broadcast to share an enterprise-wide knowledge base. Intelligent Information Processing and Management is a compilation of research articles by renowned experts in related fields such as information systems, distributed AI, intelligent agents, and collaborative work, to explore and discuss various aspects of design and development of intelligent technologies. This book will be of valuable for academics and practitioners to explore research issues related to not only the design, implementation and deployment of intelligent systems and technologies, but also economic issues and organizational impact. Obviously, the dimension of processes, data management and technology remains crucial. You cannot have intelligent information without first capturing the different data, setting up databases and integrations, share data and make sure everything happens in a connected and secure way (including back-ups, etc.). When talking about intelligent information management, data, software, and enterprise software such as business intelligence and technology are never far away. Intelligent information management is a broad topic that also includes storage (inevitably moving to the cloud, intelligent document capturing, information processing and intelligent document recognition, to name just a few (increasingly real-time). And finally it is about information management, another broad term that also includes several more specific areas such as document management and enterprise content management.
