Products related to Intelligence:
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Strategic Intelligence : Business Intelligence, Competitive Intelligence, and Knowledge Management
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 EditorJay 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).
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Knowledge and information : The Potential and Peril of Human Intelligence
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Plug-and-Play Education : Knowledge and Learning in the Age of Platforms and Artificial Intelligence
Plug-and-Play Education: Knowledge and Learning in the Age of Platforms and Artificial Intelligence documents and critiques how the education sector is changing with the advancement of ubiquitous edtech platforms and automation.As programmability and computation reengineer institutions towards efficiency and prediction, the perpetual collection of and access to digital data is creating complex opportunities and concerns.Drawing from research into secondary and higher education settings, this book examines the influence of digital “infrastructuring”, the automation of teaching and learning, and the very purpose of education in a context of growing platformisation and artificial intelligence integration.These theoretical, practical, and policy-oriented insights will offer educational technologists, designers, researchers, and policymakers a more inclusive, diverse, and open-ended perspective on the design and implementation of learning technologies.
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Understanding and Changing the World : From Information to Knowledge and Intelligence
This book discusses the importance of knowledge as an intangible asset, separate from physical entities, that can enable us to understand and/or change the world.It provides a thorough treatment of knowledge, one that is free of ideological and philosophical preconceptions, and which relies exclusively on concepts and principles from the theory of computing and logic.It starts with an introduction to knowledge as truthful and useful information, and its development and management by computers and humans.It analyses the relationship between computational processes and physical phenomena, as well as the processes of knowledge production and application by humans and computers. In turn, the book presents autonomous systems that are called upon to replace humans in complex operations as a step toward strong AI, and discusses the risks – real or hypothetical – of the careless use of these systems.It compares human and machine intelligence, attempting to answer the question ofwhether and to what extent computers, as they stand today, can approach human-level situation awareness and decision-making.Lastly, the book explains the functioning of individual consciousness as an autonomous system that manages short- and long-term objectives on the basis of value criteria and accumulated knowledge.It discusses how individual values are shaped in society and the role of institutions in fostering and maintaining a common set of values for strengthening social cohesion. The book differs from books on the philosophy of science in many respects, e.g. by considering knowledge in its multiple facets and degrees of validity and truthfulness.It follows the dualist tradition of logicians, emphasizing the importance of logic and language and considering an abstract concept of information very different from the one used in the physical sciences.From this perspective, it levels some hopefully well-founded criticism at approaches that consider informationand knowledge as nothing more than the emergent properties of physical phenomena. The book strikes a balance between popular books that sidestep fundamental issues and focus on sensationalism, and scientific or philosophical books that are not accessible to non-experts.As such, it is intended for a broad audience interested in the role of knowledge as a driver for change and development, and as a common good whose production and application could shape the future of humanity.
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Is knowledge crystalline intelligence?
Knowledge and crystalline intelligence are related concepts but not the same. Knowledge refers to the information and understanding that a person has acquired through learning and experience. On the other hand, crystalline intelligence is a component of intelligence that involves the ability to use learned knowledge and experience to solve problems and make decisions. While knowledge is a key component of crystalline intelligence, crystalline intelligence also encompasses other cognitive abilities such as reasoning, comprehension, and problem-solving skills.
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Is intelligence or knowledge more important?
Intelligence and knowledge are both important, but they serve different purposes. Intelligence refers to the ability to learn, understand, and apply information, while knowledge is the information and skills acquired through learning and experience. While intelligence can help in processing and understanding new information, knowledge is essential for practical application and problem-solving. Ultimately, both intelligence and knowledge are valuable and complement each other in achieving success and personal growth.
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Is knowledge the same as intelligence?
No, knowledge and intelligence are not the same. Knowledge refers to the information and understanding that a person has acquired through learning and experience, while intelligence refers to the ability to learn, understand, and apply that knowledge. Intelligence involves cognitive abilities such as problem-solving, reasoning, and critical thinking, while knowledge is the accumulation of information and facts. In other words, intelligence is the capacity to acquire and use knowledge effectively.
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Is machine learning already artificial intelligence?
Machine learning is a subset of artificial intelligence. It involves training a machine to learn from data and make predictions or decisions without being explicitly programmed to do so. Artificial intelligence, on the other hand, encompasses a broader range of technologies and applications that enable machines to perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, and solving problems. While machine learning is an important component of artificial intelligence, AI also includes other techniques such as natural language processing, computer vision, and robotics.
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Understanding and Changing the World : From Information to Knowledge and Intelligence
This book discusses the importance of knowledge as an intangible asset, separate from physical entities, that can enable us to understand and/or change the world.It provides a thorough treatment of knowledge, one that is free of ideological and philosophical preconceptions, and which relies exclusively on concepts and principles from the theory of computing and logic.It starts with an introduction to knowledge as truthful and useful information, and its development and management by computers and humans.It analyses the relationship between computational processes and physical phenomena, as well as the processes of knowledge production and application by humans and computers. In turn, the book presents autonomous systems that are called upon to replace humans in complex operations as a step toward strong AI, and discusses the risks – real or hypothetical – of the careless use of these systems.It compares human and machine intelligence, attempting to answer the question ofwhether and to what extent computers, as they stand today, can approach human-level situation awareness and decision-making.Lastly, the book explains the functioning of individual consciousness as an autonomous system that manages short- and long-term objectives on the basis of value criteria and accumulated knowledge.It discusses how individual values are shaped in society and the role of institutions in fostering and maintaining a common set of values for strengthening social cohesion. The book differs from books on the philosophy of science in many respects, e.g. by considering knowledge in its multiple facets and degrees of validity and truthfulness.It follows the dualist tradition of logicians, emphasizing the importance of logic and language and considering an abstract concept of information very different from the one used in the physical sciences.From this perspective, it levels some hopefully well-founded criticism at approaches that consider informationand knowledge as nothing more than the emergent properties of physical phenomena. The book strikes a balance between popular books that sidestep fundamental issues and focus on sensationalism, and scientific or philosophical books that are not accessible to non-experts.As such, it is intended for a broad audience interested in the role of knowledge as a driver for change and development, and as a common good whose production and application could shape the future of humanity.
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Swedish Military Intelligence : Producing Knowledge
Builds a revisionary theoretical framework for researching intelligence knowledge and applies it to the Swedish Military and Security DirectorateGunilla Eriksson revises our perception of intelligence as carefully collected data and objective truth, arguing that there are hidden aspects to intelligence analysis that need to be uncovered and critically examined.This twofold study investigates the character of intelligence knowledge and the social context in which it is produced, using the Swedish Military and Security Directorate (MUST) as a case study.Eriksson argues that there is an implicit framework that continuously influences knowledge production: what kind of data is considered relevant, how this data is interpreted and the specific social and linguistic context of the organisation, surrounded by unarticulated norms and specific procedures.She asks whether these conventions hamper or obstruct intelligence assessments; an essential analysis, given that history has shown us the grave consequences basing policy on intelligence's wrong conclusions.Sources includeThe annual Swedish Armed Forces Strategic Intelligence Estimates from 1998 2010Lengthy and highly valuable interviews with the analysts, including managers, working at MUST, giving insights into everyday life at the institution and leading to many important resultsParticipant observation carried out by the author at MUST working meetings and seminars during the production process of the 2010 estimate, and drawing on her experience from her years working as an active analyst
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Adopting Artificial Intelligence Tools in Higher Education : Teaching and Learning
The book offers a modern exploration of the intersection of technology and education.It examines the prospects of integrating different AI tools into higher education and explores the challenges, opportunities, and innovative solutions for the different issues surrounding the use of AI in higher education. Each chapter discusses a different area where AI can enhance the educational landscape, such as AI Integration in Higher Education and Immersive Virtual Reality-Based Learning Environments.The book also emphasizes Student-Centered Learning, AI-powered frameworks for academic excellence, and Learner-Centric Pedagogies.Furthermore, it delves into the role of AI in Personalized Learning in STEM courses, the development of AI-based Tutoring Systems, and the use of Machine Learning to identify students' mental health status.The volume concludes with "Dynamic Horizon," which examines how AI and gamification are shaping higher education. This book is essential for educators, administrators, researchers, and policymakers who want to leverage AI to create an adaptive, personalized, and engaging learning environment. "Adopting Artificial Intelligence Tools in Higher Education" provides valuable insights into the future of education, paving the way for a more empowered and enlightened academic world.
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Adopting Artificial Intelligence Tools in Higher Education : Teaching and Learning
This book offers a modern exploration of the intersection of technology and education.It examines the prospects of integrating different AI tools into higher education and explores the challenges, opportunities, and innovative solutions for the different issues surrounding the use of AI in higher education. Each chapter discusses a different area where AI can enhance the educational landscape, such as AI integration in higher education and immersive virtual reality-based learning environments.The book also emphasizes student-centered learning, AI-powered frameworks for academic excellence, and learner-centric pedagogies.Furthermore, it delves into the role of AI in personalized learning in STEM courses, the development of AI-based tutoring systems, and the use of machine learning to identify students’ mental health status.The volume concludes with "Dynamic Horizon," which examines how AI and gamification are shaping higher education. This book is essential for educators, administrators, researchers, and policymakers who want to leverage AI to create an adaptive, personalized, and engaging learning environment.Adopting Artificial Intelligence Tools in Higher Education provides valuable insights into the future of education, paving the way for a more empowered and enlightened academic world.
Price: 130.00 £ | Shipping*: 0.00 £
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What is more important, intelligence or knowledge?
Intelligence and knowledge are both important, but they serve different purposes. Intelligence refers to the ability to learn, understand, and apply information, while knowledge is the information and skills acquired through education and experience. While knowledge is important for specific tasks and problem-solving, intelligence is crucial for adapting to new situations and learning new information. Ultimately, both intelligence and knowledge are valuable and complement each other in achieving success and personal growth.
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How do you define intelligence and knowledge?
Intelligence is the ability to learn, understand, and apply knowledge to solve problems and adapt to new situations. It involves critical thinking, reasoning, and the capacity to think abstractly. Knowledge, on the other hand, refers to the information and skills acquired through education, experience, and exposure to various sources of information. It is the accumulation of facts, concepts, and principles that can be applied in different contexts. While intelligence is the capacity to acquire and use knowledge, knowledge is the actual information and skills that one possesses.
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What is the difference between knowledge and intelligence?
Knowledge refers to the information and facts that a person has acquired through learning and experience. It is the understanding and awareness of a subject or topic. On the other hand, intelligence is the ability to think, reason, and solve problems effectively. It involves the capacity to learn, adapt, and apply knowledge in different situations. In essence, knowledge is what we know, while intelligence is how we use that knowledge to think and make decisions.
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Are knowledge and intelligence independent of each other?
Knowledge and intelligence are related concepts, but they are not entirely independent of each other. Knowledge refers to the information and understanding that a person has acquired through learning and experience, while intelligence is the ability to think, reason, and solve problems. While knowledge can contribute to intelligence by providing a foundation for critical thinking and problem-solving, intelligence also plays a role in how effectively a person can acquire and apply knowledge. In other words, intelligence can influence how quickly and deeply a person can understand and retain new information.
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