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The first book to discuss efficient ways to implement the systems currently being developed--written by the co-author of Expert Systems: Artificial Intelligence in Business, generally regarded as the best non-technical guide to expert systems for business people. Gives innovative ideas for using expert systems to facilitate business operations. Appropriate as a text or supplement for data base, decision support, or special-topic courses that cover expert systems. Clearly explains new applications of automatic decision-making in management, sales, operations, programming, research, and service industries. Text supported by extensive examples and graphs.
The aim of this volume is to give practical guidance on how to establish and use expert systems technology within an organization, avoiding various pitfalls on the way. The book also outlines the resulting benefits in terms of productivity.
This report was prepared to assist managers in the risk-managed application of expert systems (ES) technology. Two problems that have frustrated managers and technicians who might otherwise be interested in exploring ES solutions are the seeming lack of a software engineering discipline for creating and maintaining expert systems and the fact that the software development risks associated with expert systems have not been clearly addressed. This guide focuses on ES development as a software engineering endeavor and emphasizes that, as such, it should be subject to much the same discipline as conventional automated information system software. The guide is meant to be used in conjunction with accepted software development methods and standards, such as Department of Defense (DOD) Standards 2167A and 7935.1, DOD Directive 7920.1, DOD Instruction 7920.2, and the OSD Major Automated System Review Council (MAISRC) Guidelines for Program Managers. This document presents a step-by-step guideline that addresses the managerial and technical risks of each phase in the software development life cycle of systems that contain ES components.
A boy & his grandparents live near a cursed wood. the boy longs for a dog - but the ungainly creature found by his grandfatherhardly fits his image of the perfect pet. But then the dog starts to grow human ears!
E-business is much more than e-commerce. Companies can spend millions of pounds developing online retail outlets without altering their organization or procedures. This text introduces managers to the nature and scope of this change.
This book presents the reader with a complete and comprehensive picture of what is happening today in banks and other financial institutions in terms of expert systems implementation. In addition it helps in refining the reader's thoughts on how to build an environment for the successful implementation of expert systems in banking - and how to sell this concept to management including risks and opportunities.
This book presents a guide to navigating the complicated issues of quality and process improvement in enterprise software implementation, and the effect these have on the software development life cycle (SDLC). Offering an integrated approach that includes important management and decision practices, the text explains how to create successful automated solutions that fit user and customer needs, by mixing different SDLC methodologies. With an emphasis on the realities of practice, the book offers essential advice on defining business requirements, and managing change. This revised and expanded second edition includes new content on such areas as cybersecurity, big data, and digital transformation. Features: presents examples, case studies, and chapter-ending problems and exercises; concentrates on the skills needed to distinguish successful software implementations; considers the political and cultural realities in organizations; suggests many alternatives for how to manage and model a system.
The Nordic countries are traditionally strong in the application of new computer technology. This work represents the state of the art in some of the artificial intelligence areas currently subject to active R&D. International researchers present 24 papers in the following areas: automated reasoning; qualitative reasoning; machine learning; neural networks; and knowledge-based systems. Both basic and applied AI research are represented.