Author: Alan N. Fish
Publisher: John Wiley & Sons
ISBN: 1118236793
Category : Business & Economics
Languages : en
Pages : 208
Book Description
A proven decision management methodology for increased profits and lowered risks Knowledge Automation: How to Implement Decision Management in Business Processes describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions. It includes Decision Requirements Analysis (DRA), a new method for taking the crucial first step in any IT project to implement decision management: defining a set of business decisions and identifying all the information—business knowledge and data—required to make those decisions. Describes all the stages in automating business processes, from business process modeling down to the implementation of decision services Addresses how to use business rules and predictive analytics to optimize and automate small, high-volume business decisions Proposes a simple "top-down" method for defining decision requirements and representing them in a single diagram Shows how clear requirements can allow decision management projects to be run with reduced risk and increased profit Nontechnical and accessible, Knowledge Automation reveals how DRA is destined to become a standard technique in the business analysis and project management toolbox.
Knowledge Automation
Author: Alan N. Fish
Publisher: John Wiley & Sons
ISBN: 1118236793
Category : Business & Economics
Languages : en
Pages : 208
Book Description
A proven decision management methodology for increased profits and lowered risks Knowledge Automation: How to Implement Decision Management in Business Processes describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions. It includes Decision Requirements Analysis (DRA), a new method for taking the crucial first step in any IT project to implement decision management: defining a set of business decisions and identifying all the information—business knowledge and data—required to make those decisions. Describes all the stages in automating business processes, from business process modeling down to the implementation of decision services Addresses how to use business rules and predictive analytics to optimize and automate small, high-volume business decisions Proposes a simple "top-down" method for defining decision requirements and representing them in a single diagram Shows how clear requirements can allow decision management projects to be run with reduced risk and increased profit Nontechnical and accessible, Knowledge Automation reveals how DRA is destined to become a standard technique in the business analysis and project management toolbox.
Publisher: John Wiley & Sons
ISBN: 1118236793
Category : Business & Economics
Languages : en
Pages : 208
Book Description
A proven decision management methodology for increased profits and lowered risks Knowledge Automation: How to Implement Decision Management in Business Processes describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions. It includes Decision Requirements Analysis (DRA), a new method for taking the crucial first step in any IT project to implement decision management: defining a set of business decisions and identifying all the information—business knowledge and data—required to make those decisions. Describes all the stages in automating business processes, from business process modeling down to the implementation of decision services Addresses how to use business rules and predictive analytics to optimize and automate small, high-volume business decisions Proposes a simple "top-down" method for defining decision requirements and representing them in a single diagram Shows how clear requirements can allow decision management projects to be run with reduced risk and increased profit Nontechnical and accessible, Knowledge Automation reveals how DRA is destined to become a standard technique in the business analysis and project management toolbox.
A Guide to the Automation Body of Knowledge, Third Edition
Author: Nicolas Sands
Publisher:
ISBN: 9781945541759
Category :
Languages : en
Pages : 778
Book Description
Publisher:
ISBN: 9781945541759
Category :
Languages : en
Pages : 778
Book Description
A Guide to the Automation Body of Knowledge
Author: Vernon L. Trevathan
Publisher: ISA
ISBN: 9781556179617
Category : Technology & Engineering
Languages : en
Pages : 0
Book Description
A Guide to the Automation Body of Knowledge provides you with comprehensive information about all major topics in the broad field of automation. Edited by Vernon Trevathan with contributions from over thirty leading experts from all aspects of automation, this book defines the most important automation concepts and processes, while also describing the technical skills professionals require to implement them in today's industrial environment. Whether you are an engineer, manager, control systems integrator, student, or educator, you will turn to this book again and again as the ultimate source on what is encompassed by automation.
Publisher: ISA
ISBN: 9781556179617
Category : Technology & Engineering
Languages : en
Pages : 0
Book Description
A Guide to the Automation Body of Knowledge provides you with comprehensive information about all major topics in the broad field of automation. Edited by Vernon Trevathan with contributions from over thirty leading experts from all aspects of automation, this book defines the most important automation concepts and processes, while also describing the technical skills professionals require to implement them in today's industrial environment. Whether you are an engineer, manager, control systems integrator, student, or educator, you will turn to this book again and again as the ultimate source on what is encompassed by automation.
The Knowledge Café
Author: Benjamin Anyacho
Publisher: Berrett-Koehler Publishers
ISBN: 1523089539
Category : Business & Economics
Languages : en
Pages : 248
Book Description
Knowledge Café is a process for sharing information, whether face to face or virtual. This popular and practical knowledge management tool supports a culture where projects and innovation thrive. The Knowledge Café is a mindset and environment for engaging, discussing, and exchanging knowledge within a group either face to face or virtually. At the café, participants can discuss hard-to-solve project issues or resolve a family or community crisis. This metaphorical town square supports knowledge circulation and rejuvenation and increases its velocity—making it a breeding ground for innovation. The aha moments at one Knowledge Café can match the benefits of multiple conferences, workshops, and training put together. When knowledge management (KM) is part of an organization's culture, performance improves, collaboration increases, and the competitive advantage accelerates. No one can force knowledge transfer. We must create the right environment where knowledge is freely shared, rewarded, and fun. This book demonstrates why the Knowledge Café is such an effective KM tool and shows how to design optimal café experiences and increase learning agility. The premium on knowledge and agility has never been greater. This book offers a technique for managing knowledge toward the greater good. Tips; templates; practical and relatable experiences; case studies; and examples of knowledge brokers, creators, and sharers across cultures are sprinkled throughout the book to show how the café interfaces with other KM techniques and in different work and project spaces.
Publisher: Berrett-Koehler Publishers
ISBN: 1523089539
Category : Business & Economics
Languages : en
Pages : 248
Book Description
Knowledge Café is a process for sharing information, whether face to face or virtual. This popular and practical knowledge management tool supports a culture where projects and innovation thrive. The Knowledge Café is a mindset and environment for engaging, discussing, and exchanging knowledge within a group either face to face or virtually. At the café, participants can discuss hard-to-solve project issues or resolve a family or community crisis. This metaphorical town square supports knowledge circulation and rejuvenation and increases its velocity—making it a breeding ground for innovation. The aha moments at one Knowledge Café can match the benefits of multiple conferences, workshops, and training put together. When knowledge management (KM) is part of an organization's culture, performance improves, collaboration increases, and the competitive advantage accelerates. No one can force knowledge transfer. We must create the right environment where knowledge is freely shared, rewarded, and fun. This book demonstrates why the Knowledge Café is such an effective KM tool and shows how to design optimal café experiences and increase learning agility. The premium on knowledge and agility has never been greater. This book offers a technique for managing knowledge toward the greater good. Tips; templates; practical and relatable experiences; case studies; and examples of knowledge brokers, creators, and sharers across cultures are sprinkled throughout the book to show how the café interfaces with other KM techniques and in different work and project spaces.
Knowledge Management:
Author: Awad
Publisher: Pearson Education India
ISBN: 9332506191
Category : Information resources management
Languages : en
Pages : 481
Book Description
Knowledge Management is a subset of content taught in the Decision Support Systems course. Knowledge Management is about knowledge and how to capture it, transfer it, share it, and how to manage it. The authors take students through a process-oriented examination of the topic, striking a balance between the behavioral and technical aspects of knowledge management and use it.
Publisher: Pearson Education India
ISBN: 9332506191
Category : Information resources management
Languages : en
Pages : 481
Book Description
Knowledge Management is a subset of content taught in the Decision Support Systems course. Knowledge Management is about knowledge and how to capture it, transfer it, share it, and how to manage it. The authors take students through a process-oriented examination of the topic, striking a balance between the behavioral and technical aspects of knowledge management and use it.
Knowledge Horizons
Author: Charles Despres
Publisher: Routledge
ISBN: 1136390170
Category : Business & Economics
Languages : en
Pages : 365
Book Description
Knowledge Horizons charts the feasible future for knowledge management. This practical and provocative resource presents the work of many of the leading voices in knowledge management and related disciplines, who explore the current trends and offer pragmatic and authoritative thinking on applied knowledge management from a variety of positions. Knowledge management is the new frontier for businesses, organizations, and institutions of all kinds. For those that hope to conquer this new territory, establishing a better understanding of current and future knowledge management trends and adoption of the most effective practices is imperitive. There are numerous options for executives: intranets, extranets, groupware, and core competencies are continually being refined. New entitites and rules in terms of intellectual capital and the "Chief Knowledge Officer" are emerging. Knowledge Horizons addresses these issues by exploring current and future knowledge management trends, gauging the future value of knowledge management investments, and how they will drive new business initiatives, and integrates the experience and insights of managers and cutting-edge research from experts in the field.
Publisher: Routledge
ISBN: 1136390170
Category : Business & Economics
Languages : en
Pages : 365
Book Description
Knowledge Horizons charts the feasible future for knowledge management. This practical and provocative resource presents the work of many of the leading voices in knowledge management and related disciplines, who explore the current trends and offer pragmatic and authoritative thinking on applied knowledge management from a variety of positions. Knowledge management is the new frontier for businesses, organizations, and institutions of all kinds. For those that hope to conquer this new territory, establishing a better understanding of current and future knowledge management trends and adoption of the most effective practices is imperitive. There are numerous options for executives: intranets, extranets, groupware, and core competencies are continually being refined. New entitites and rules in terms of intellectual capital and the "Chief Knowledge Officer" are emerging. Knowledge Horizons addresses these issues by exploring current and future knowledge management trends, gauging the future value of knowledge management investments, and how they will drive new business initiatives, and integrates the experience and insights of managers and cutting-edge research from experts in the field.
Knowledge Engineering
Author: Ela Kumar
Publisher: I K International Pvt Ltd
ISBN: 9385909274
Category : Computers
Languages : en
Pages : 334
Book Description
The universe is full of different kinds of knowledge like tangible, intangible, conceptual, static, dynamic and many more. Knowledge Engineering is an advancement of Artificial Intelligence (AI). The present book describes various concepts of artificial intelligence, and other technical aspects of Knowledge Engineering and Computer Science. Knowledge representation is a key aspect of problem formulation from AI viewpoint. In the light of importance of knowledge representation and its analysis, it has emerged as a full-fledged engineering discipline. The book focuses on the concepts and issues of Knowledge Engineering that have impact on business management strategies, productivity, and the key elements of any business and its people. It also discusses, the skills required from the persons working in this area.
Publisher: I K International Pvt Ltd
ISBN: 9385909274
Category : Computers
Languages : en
Pages : 334
Book Description
The universe is full of different kinds of knowledge like tangible, intangible, conceptual, static, dynamic and many more. Knowledge Engineering is an advancement of Artificial Intelligence (AI). The present book describes various concepts of artificial intelligence, and other technical aspects of Knowledge Engineering and Computer Science. Knowledge representation is a key aspect of problem formulation from AI viewpoint. In the light of importance of knowledge representation and its analysis, it has emerged as a full-fledged engineering discipline. The book focuses on the concepts and issues of Knowledge Engineering that have impact on business management strategies, productivity, and the key elements of any business and its people. It also discusses, the skills required from the persons working in this area.
Knowledge-Based Systems
Author: Rajendra Akerkar
Publisher: Jones & Bartlett Learning
ISBN: 0763776475
Category : Computers
Languages : en
Pages : 375
Book Description
Knowledge Based Systems (KBS) are systems that use artificial intelligence techniques in the problem solving process. This text is designed to develop an appreciation of KBS and their architecture and to help users understand a broad variety of knowledge based techniques for decision support and planning. It assumes basic computer science skills and a math background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 12 chapters are designed to be modular providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material being presented and to stimulate thought and discussion.
Publisher: Jones & Bartlett Learning
ISBN: 0763776475
Category : Computers
Languages : en
Pages : 375
Book Description
Knowledge Based Systems (KBS) are systems that use artificial intelligence techniques in the problem solving process. This text is designed to develop an appreciation of KBS and their architecture and to help users understand a broad variety of knowledge based techniques for decision support and planning. It assumes basic computer science skills and a math background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 12 chapters are designed to be modular providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material being presented and to stimulate thought and discussion.
Automation Made Easy
Author: Peter G. Martin
Publisher: ISA
ISBN: 1936007061
Category : Technology & Engineering
Languages : en
Pages : 1
Book Description
After a quick glance at the plant floor, it is very easy to see the industrial automation industry interoperates with other functions within the enterprise. Trying to keep up with changing technologies, however, is never easy and the industrial automation environment is no exception. Whether you are a student just starting out or are a top-level executive or manager well-versed in one domain, but have limited knowledge of the industrial automation industry, itA's easy to find yourself adrift in this evolving industry. That is where this easy-to-read book comes in; it provides a basic functional understanding in the field of industrial automation. In an effort to understand this industry, the authors break down the barriers and confusion surrounding the technical details and terminology used in this converging field. They provide an introductory-level approach, covering most of the major industrial automation topics, such as distributed control systems (DCSs), programmable logic controllers (PLCs), manufacturing execution systems (MESs), and so on. You may even learn a recipe or two. This book is ideal for executives, business managers, information technologists, accountants, maintenance professionals, operators, production planners, just to name a few, and provides an in-depth but easy overview for people new to the field who want to quickly educate themselves.
Publisher: ISA
ISBN: 1936007061
Category : Technology & Engineering
Languages : en
Pages : 1
Book Description
After a quick glance at the plant floor, it is very easy to see the industrial automation industry interoperates with other functions within the enterprise. Trying to keep up with changing technologies, however, is never easy and the industrial automation environment is no exception. Whether you are a student just starting out or are a top-level executive or manager well-versed in one domain, but have limited knowledge of the industrial automation industry, itA's easy to find yourself adrift in this evolving industry. That is where this easy-to-read book comes in; it provides a basic functional understanding in the field of industrial automation. In an effort to understand this industry, the authors break down the barriers and confusion surrounding the technical details and terminology used in this converging field. They provide an introductory-level approach, covering most of the major industrial automation topics, such as distributed control systems (DCSs), programmable logic controllers (PLCs), manufacturing execution systems (MESs), and so on. You may even learn a recipe or two. This book is ideal for executives, business managers, information technologists, accountants, maintenance professionals, operators, production planners, just to name a few, and provides an in-depth but easy overview for people new to the field who want to quickly educate themselves.
Industrial Knowledge Management
Author: Rajkumar Roy
Publisher: Springer Science & Business Media
ISBN: 1447103513
Category : Business & Economics
Languages : en
Pages : 553
Book Description
The book presents state of the art practices and research in the area of Knowledge Capture and Reuse in industry. This book demonstrates some of the successful applications of industrial knowledge management at the micro level. The Micro Knowledge Management (MicroKM) is about capture and reuse of knowledge at the operational, shopfloor and designer level. The readers will benefit from different frameworks, concepts and industrial case studies on knowledge capture and reuse. The book contains a number of invited papers from leading practitioners in the field and a small number of selected papers from active researchers. The book starts by providing the foundation for micro knowledge management through knowledge systematisation, analysing the nature of knowledge and by evaluating verification and validation technology for knowledge based system of frameworks for knowledge capture, reuse and development. A number integration are also provided. Web based framework for knowledge capture and delivery is becoming increasingly popular. Evolutionary computing is also used to automate design knowledge capture. The book demonstrates frameworks and techniques to capture knowledge from people, data and process and reuse the knowledge using an appropriate tool in the business. Therefore, the book bridges the gap between the theory and practice. The 'theory to practice' chapter discusses about virtual communities of practice, Web based approaches, case based reasoning and ontology driven systems for the knowledge management. Just-in-time knowledge delivery and support is becoming a very important tool for real-life applications.
Publisher: Springer Science & Business Media
ISBN: 1447103513
Category : Business & Economics
Languages : en
Pages : 553
Book Description
The book presents state of the art practices and research in the area of Knowledge Capture and Reuse in industry. This book demonstrates some of the successful applications of industrial knowledge management at the micro level. The Micro Knowledge Management (MicroKM) is about capture and reuse of knowledge at the operational, shopfloor and designer level. The readers will benefit from different frameworks, concepts and industrial case studies on knowledge capture and reuse. The book contains a number of invited papers from leading practitioners in the field and a small number of selected papers from active researchers. The book starts by providing the foundation for micro knowledge management through knowledge systematisation, analysing the nature of knowledge and by evaluating verification and validation technology for knowledge based system of frameworks for knowledge capture, reuse and development. A number integration are also provided. Web based framework for knowledge capture and delivery is becoming increasingly popular. Evolutionary computing is also used to automate design knowledge capture. The book demonstrates frameworks and techniques to capture knowledge from people, data and process and reuse the knowledge using an appropriate tool in the business. Therefore, the book bridges the gap between the theory and practice. The 'theory to practice' chapter discusses about virtual communities of practice, Web based approaches, case based reasoning and ontology driven systems for the knowledge management. Just-in-time knowledge delivery and support is becoming a very important tool for real-life applications.