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result(s) for
"Information resources management Data processing."
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Globalization, communication and the workplace : talking across the world
by
Forey, Gail
,
Lockwood-Lee, Jane
in
Business communication
,
Business communications
,
Communication in organizations
2012,2010
The global developments in Information Technology Enabled Services have transformed customer service encounters which were until recently face-to-face. The major business areas of healthcare, insurance, banking and media are increasingly moving their customer processes to call centres, web based interaction, and email. ITES is set for explosive growth over the next decade, alongside being increasingly outsourced to non-English speaking destinations. The need for good English language communication skills is becoming ever more acute.This book looks closely at interactive communication in customer-facing services, featuring the voices of both academics and those in industry. It aims to integrate the work of applied linguists, teachers, trainers and businesses. After an initial discussion on the value of research to applied training, the major issues of ITES communications are addressed with either an academic analysis being followed by a training example derived from it, or with an analysis of a workplace problem followed by a research-based solution proposal. This volume should appeal to a wide readership in academic, business training and HR departments.
IT outsourcing governance : client types and their management strategies
The increased complexity and variety of information systems outsourcing poses challenges for the successful management of sourcing projects. Stefanie Leimeister examines different types of IT outsourcing relationships and their governance structures depending on the outsourcing clients' underlying expectations. Based on a variety of current theories from the fields of information systems, business administration, and social science, she develops a governance model for the successful management of IT outsourcing projects. Following a multi-method approach and also based on a quantitative empirical investigation of German IT leaders and CIOs, she proposes appropriate governance mechanisms for the specific management of each outsourcing client type. The author derives actionable advice for applicable strategies and an effective allocation of resources for an outsourcing venture.
Business modeling and data mining
2003
Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them.The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems.
Information systems : intelligent information processing systems, natural language processing, affective computing and artificial intelligence, and an attempt to build a conversational nursing robot
by
Matsumoto, Kazuyuki, editor
in
Expert systems (Computer science)
,
Electronic data processing.
,
Artificial intelligence.
2021
This text deals with intelligent information processing systems related to natural language processing, text mining, web information processing, and nursing and caring robot technologies. It introduces the latest trends and past research results of researchers in a wide range of fields related to knowledge information processing, which is one of the ultimate goals of information processing technology and is necessary for making artificial brains useful in our society.
Big Data, Little Data, No Data
by
Borgman, Christine L
in
Big data
,
Communication in learning and scholarship
,
Communication in learning and scholarship -- Technological innovations
2015,2016,2017
\"Big Data\" is on the covers ofScience, Nature, theEconomist, andWiredmagazines, on the front pages of theWall Street Journaland theNew York Times.But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines.Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six \"provocations\" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.
Remote Sensing and GIS in Natural Resource Management: Comparing Tools and Emphasizing the Importance of In-Situ Data
by
Reinmann, Andrew B.
,
Shelby, Lacy J.
,
Beslity, Justin O.
in
Agriculture
,
Algorithms
,
Aquatic resources
2024
Remote sensing (RS) and Geographic Information Systems (GISs) provide significant opportunities for monitoring and managing natural resources across various temporal, spectral, and spatial resolutions. There is a critical need for natural resource managers to understand the expanding capabilities of image sources, analysis techniques, and in situ validation methods. This article reviews key image analysis tools in natural resource management, highlighting their unique strengths across diverse applications such as agriculture, forestry, water resources, soil management, and natural hazard monitoring. Google Earth Engine (GEE), a cloud-based platform introduced in 2010, stands out for its vast geospatial data catalog and scalability, making it ideal for global-scale analysis and algorithm development. ENVI, known for advanced multi- and hyperspectral image processing, excels in vegetation monitoring, environmental analysis, and feature extraction. ERDAS IMAGINE specializes in radar data analysis and LiDAR processing, offering robust classification and terrain analysis capabilities. Global Mapper is recognized for its versatility, supporting over 300 data formats and excelling in 3D visualization and point cloud processing, especially in UAV applications. eCognition leverages object-based image analysis (OBIA) to enhance classification accuracy by grouping pixels into meaningful objects, making it effective in environmental monitoring and urban planning. Lastly, QGIS integrates these remote sensing tools with powerful spatial analysis functions, supporting decision-making in sustainable resource management. Together, these tools when paired with in situ data provide comprehensive solutions for managing and analyzing natural resources across scales.
Journal Article