Managing Expert Systems

IGI Global
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Managing Expert Systems explores the trends in expert systems development and implementation. As top authorities in the field of ES, Turban and Liebowitz examine the factors that contribute to the development of a successful expert system.
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Additional Information

Publisher
IGI Global
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Published on
Dec 31, 1992
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Pages
484
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ISBN
9781878289117
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Best For
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Language
English
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Genres
Business & Economics / Information Management
Business & Economics / Knowledge Capital
Computers / Expert Systems
Computers / Information Technology
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Content Protection
This content is DRM protected.
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Strategic intelligence (SI) has mostly been used in military settings, but its worth goes well beyond that limited role. It has become invaluable for improving any organization's strategic decision making process. The author of Strategic Intelligence: Business Intelligence, Competitive Intelligence, and Knowledge Management recognizes synergies among component pieces of strategic intelligence, and demonstrates how executives can best use this internal and external information toward making better decisions.

Divided into two major parts, the book first discusses the convergence of knowledge management (KM), business intelligence (BI), and competitive intelligence (CI) into what the author defines as strategic intelligence. The second part of the volume describes case studies written by recognized experts in the fields of KM, BI, and CI. The case studies include strategic scenarios at Motorola, AARP, Northrop Grumman, and other market leaders.

About the Editor
Jay Liebowitz, D.Sc., is a full professor in the Graduate Division of Business and Management and program director for the Graduate Certificate in Competitive Intelligence at Johns Hopkins University.
The first knowledge management officer at NASA Goddard Space Flight Center, he also served as the Robert W. Deutsch Distinguished Professor of Information Systems at the University of Maryland-Baltimore County, professor of Management Science at George Washington University, and Chaired Professor of Artificial Intelligence (AI) at the U.S. Army War College. A founder and chairperson of The World Congress on Expert Systems, he is a Fulbright Scholar, IEEE-USA Federal Communications Commission Executive Fellow, and Computer Educator of the Year (International Association for Computer Information Systems).
Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers.

After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you’ll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success.

Provides practical guidelines for building successful BI, DW and data integration solutions. Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language.Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses Describes best practices and pragmatic approaches so readers can put them into action. Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources.
As baby boomers approach retirement age and the work patterns of younger workers constantly change, many organizations worldwide are experiencing a far-reaching knowledge bleed. Therefore, it is imperative that organizations find ways to best leverage and retain that vital knowledge before workers leave the organization and attrition occurs.

Answers the Call of Businesses Worldwide

In light of global workforce changes, many organizations’ are faced with a dilemma – how to maintain the right set of people at the right time in order to meet the company’s long-term goals and vision. Knowledge Retention: Strategies and Solutions supplies the answer in the form of strategic human capital management. Written by one of the most sought after knowledge management experts, this easy-to-read, concise guide helps companies adopt proven retention strategies and techniques to capture and share knowledge which is otherwise at risk of being lost in transition. The text also discusses key case studies by leading organizations applying knowledge retention strategies.

Build Institutional Memory and Social Networks

Addresses These Important Questions: How do you know what knowledge is important to capture? What is the best approach to developing a knowledge retention framework? How do you calculate the loss of knowledge? What are the appropriate steps once the damage is assessed? How do you identify knowledge flows and gaps in an organization?

Since you never know when someone will retire or move on, the book emphasizes the importance of minimizing business disruption and accelerating competency development. Operating around four key framework pillars – competency, performance, knowledge, and change management – this text demonstrates why a knowledge-retention strategy should be woven into an organization’s fabric from day one.

The New Edition of a Business Classic

This landmark work, the first to introduce business leaders to analytics, reveals how analytics are rewriting the rules of competition.

Updated with fresh content, Competing on Analytics provides the road map for becoming an analytical competitor, showing readers how to create new strategies for their organizations based on sophisticated analytics. Introducing a five-stage model of analytical competition, Davenport and Harris describe the typical behaviors, capabilities, and challenges of each stage. They explain how to assess your company’s capabilities and guide it toward the highest level of competition. With equal emphasis on two key resources, human and technological, this book reveals how even the most highly analytical companies can up their game.

With an emphasis on predictive, prescriptive, and autonomous analytics for marketing, supply chain, finance, M&A, operations, R&D, and HR, the book contains numerous new examples from different industries and business functions, such as Disney’s vacation experience, Google’s HR, UPS’s logistics, the Chicago Cubs’ training methods, and Firewire Surfboards’ customization. Additional new topics and research include:Data scientists and what they doBig data and the changes it has wroughtHadoop and other open-source software for managing and analyzing dataData products—new products and services based on data and analyticsMachine learning and other AI technologiesThe Internet of Things and its implicationsNew computing architectures, including cloud computingEmbedding analytics within operational systemsVisual analytics

The business classic that turned a generation of leaders into analytical competitors, Competing on Analytics is the definitive guide for transforming your company’s fortunes in the age of analytics and big data.

"The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions to ‘do this, avoid that.’"
—From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee Company

With the growing barrage of "big data," it becomes vitally important for organizations to make sense of this data and information in a timely and effective way. That’s where analytics come into play. Research shows that organizations that use business analytics to guide their decision making are more productive and experience higher returns on equity. Big Data and Business Analytics helps you quickly grasp the trends and techniques of big data and business analytics to make your organization more competitive.

Packed with case studies, this book assembles insights from some of the leading experts and organizations worldwide. Spanning industry, government, not-for-profit organizations, and academia, they share valuable perspectives on big data domains such as cybersecurity, marketing, emergency management, healthcare, finance, and transportation.

Understand the trends, potential, and challenges associated with big data and business analytics Get an overview of machine learning, advanced statistical techniques, and other predictive analytics that can help you solve big data issues Learn from VPs of Big Data/Insights & Analytics via case studies of Fortune 100 companies, government agencies, universities, and not-for-profits

Big data problems are complex. This book shows you how to go from being data-rich to insight-rich, improving your decision making and creating competitive advantage.

Author Jay Liebowitz recently had an article published in The World Financial Review.

www.worldfinancialreview.com/?p=1904
The rapidly growing demand for online courses and supporting technology has resulted in a plethora of structural and functional changes and challenges for universities and colleges. These changes have led many distance education providers to recognize the value of understanding the fundamental concepts of both e-learning and knowledge management (KM)—including the e-learning economic model and how to change the current culture of delivery system providers.

Supplying a complete examination of the synergy between KM and e-learning, Knowledge Management and E-Learning begins by considering KM practices, techniques, and methodologies in e-learning. These chapters explain how knowledge capture, retention, transfer, and sharing can help enhance the e-learning experience.

Edited and written by leading authorities in the fields of knowledge management and e-learning, the book contains international case studies that illustrate the applications of KM to e-learning in businesses, government agencies, and universities in the United States, Canada, Mexico, United Kingdom, Europe, and Asia. The text is divided into four parts:

Setting the Stage Methodologies and Techniques Case Studies and Applications Industry Perspectives

This groundbreaking reference discusses the use of digital media engagement and social media to enhance the e-learning experience through the ability to share knowledge among various communities and individuals. It details key KM and social networking methodologies, trends, and technologies. The text concludes with a summary of current and emerging trends by those at the forefront of this rapidly evolving field.

Although knowledge management (KM) has already helped numerous organizations achieve competitive advantages, many organizations have yet to embark on their knowledge management journey. Geared for executives and senior managers, Beyond Knowledge Management: What Every Leader Should Know is concise and easy-to-read. It looks at 10 areas where organizations can gain competitive advantage. It shows you how to make better decisions, avoid knowledge loss, and maximize the intellectual assets of your organization.

Edited by Jay Liebowitz—who is among the top 10 KM researchers/practitioners worldwide—the book examines key areas that can add value to your organization. Each chapter opens with an introduction to one of these promising areas, followed by case studies from industry, government, and not-for-profits.

The case studies demonstrate how leaders at organizations such as The Coca-Cola Company, e-Bay, PricewaterhouseCoopers, University of Maryland University College, Northrop Grumman, and the U.S. Department of Health and Human Services have used the concepts discussed in the book to improve decision making.

The distinguished contributors from these organizations explain how to use information and decision technologies, strategic intelligence, e-learning, human capital, innovation, globalization, and relationships, to improve operations and achieve an advantage over your competitors. The powerful approaches described in this book will not only help you preserve your most valued intellectual assets but also infuse the vitality and creativity your organization will need to stay one step ahead of the competition.

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