Mastering Information Retrieval and Probabilistic Decision Intelligence Technology

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Chandos, 2004 - Computers - 150 pages
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Summary This book is about the management of information and its focus to people empowered to make decisions. It provides managers and students of information with the resources to understand and start to deploy Information Retrieval systems throughout their organisation. The book provides managers and students of Information Retrieval at all levels with the necessary principles, approaches and tools to respond effectively to the enormous developments in new technologies. Key Features (1) Written by an expert practitioner in the field. (2) Helps to summarise and explain the basic issues. (3) Covers both benefits and challenges likely to be encountered in implementing an Information Retrieval system. (4) Draws on the author's wide-ranging practical experience of strategy development and project management in technology in the information retrieval field. (5) Provides both a theoretical grounding and practical approaches to real-world problems in the use of Decision Intelligence. Readership Aimed at staff at all managerial and supervisory levels in private and public sector organisations Contents Understanding the individual - how technology elicits and processes information about people. The Digital You - creating automated agents that act in accordance with and on behalf of the individual. AI technologies - simple explanatory overview of how they work, and some limitations. The sea of data - the nature of information, its explosive growth and how it threatens to overwhelm us. Extracting the meaning of information. Decision intelligence applications - how we maximise use of this technology on data for people. Practical applications - examples of the technology in use; the limits of humandecision making: where people become inefficient and require automated assistance. The

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Contents

The limits of human and automated decisionmaking
17
HOW lT WORKS
29
Artificial intelligence technologies
43
Copyright

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About the author (2004)

Dr Daniel Brown is a founder of APR Smartlogik. He has lectured extensively, on an international basis, on Information Retrieval and Decision Intelligence and has worked with a range of companies and organisations including IBM, BBC, British Telecom, Fidelity, and over fifty libraries and local government organisations across the United Kingdom. He is the author of several books and over thirty papers, as well as being a high profile speaker and media commentator on Decision Intelligence.

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