Knowledge Management: Learning from Knowledge Engineering

CRC Press
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Knowledge Management (KM) is strongly rooted in the discipline of Knowledge Engineering (KE), which in turn grew partly out of the artificial intelligence field. Despite their close relationship, however, many KM specialists have failed to fully recognize the synergy or acknowledge the power that KE methodologies, techniques, and tools hold for enhancing the state of the art in Knowledge Management.

Knowledge Management: Learning from Knowledge Engineering addresses this vacuum. It gives concise, practical information and insights drawn from the author's many years of experience in the fields of expert systems and Knowledge Management. Based upon research, analyses, and illustrative case studies, this is the first book to integrate the theory and practice of artificial intelligence and expert systems with the current organizational and strategic aspects of Knowledge Management.

The time has come for Knowledge Management professionals to appreciate the synergy between their work and the work of their counterparts in Knowledge Engineering. Knowledge Management: Learning from Knowledge Engineering is the ideal starting point for those in KM to learn from and exploit advances in that field, and thereby advance their own.
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Additional Information

Publisher
CRC Press
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Published on
Mar 28, 2001
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Pages
152
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ISBN
9781420041125
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Language
English
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Genres
Business & Economics / General
Business & Economics / Management Science
Computers / Information Technology
Computers / Networking / General
Technology & Engineering / Engineering (General)
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Content Protection
This content is DRM protected.
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Available on Android devices
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Eligible for Family Library

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Jay Liebowitz
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).
Jay Liebowitz
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.

Jay Liebowitz
"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
Jay Liebowitz
This book shows healthcare professionals how to turn data points into meaningful knowledge upon which they can take effective action. Actionable intelligence can take many forms, from informing health policymakers on e?ective strategies for the population to providing direct and predictive insights on patients to healthcare providers so they can achieve positive outcomes. It can assist those performing clinical research where relevant statistical methods are applied to both identify the e?cacy of treatments and improve clinical trial design. It also benefits healthcare data standards groups through which pertinent data governance policies are implemented to ensure quality data are obtained, measured, and evaluated for the bene?t of all involved.

Although the obvious constant thread among all of these important healthcare use cases of actionable intelligence is the data at hand, such data in and of itself merely represents one element of the full structure of healthcare data analytics. This book examines the structure for turning data into actionable knowledge and discusses:

The importance of establishing research questions Data collection policies and data governance Principle-centered data analytics to transform data into information Understanding the "why" of classified causes and effects Narratives and visualizations to inform all interested parties

Actionable Intelligence in Healthcare

is an important examination of how proper healthcare-related questions should be formulated, how relevant data must be transformed to associated information, and how the processing of information relates to knowledge. It indicates to clinicians and researchers why this relative knowledge is meaningful and how best to apply such newfound understanding for the betterment of all.
Jay Liebowitz
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.

Jay Liebowitz
"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
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