Organizational leaders, governments and trade unions all agree that learning is fundamental to organizational and economic success. The question is how it should best be supported. The Handbook of Work Based Learning delivers a compelling answer to this question. Learning needs to be based in the realities of organizational life. This unique, groundbreaking handbook provides a definitive guide to the set of strategies, tactics and methods for supporting work based learning. The three main parts of the Handbook, which focus in turn on strategies, tactics and methods, are written for both the learner and the professional developer alike. Each includes a description of the process (strategy, tactic or method), provides examples of what it looks like in action, explains the benefits and the likely limitations and provides a set of operating hints for applying the process. Nothing has been neglected, so alongside detailed descriptions of what to do and how to do it, the authors have included the Declaration on Learning, created by thirteen of the major figures in the field of organizational learning, a section guiding you towards routes for gaining qualifications, along with a well-researched set of references and further reading.

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Foreword by Colonel Dame Kelly Holmes. Regardless of one's plans for the future, many people's careers are founded on a series of chance encounters, experiences and serendipity. School, college, university, jobs, family, sports, hobbies, friends, relationships - these are all fertile grounds for career-related conversations and explorations.What if we teachers, guides, mentors, parents and peers started to notice these seemingly unconnected happenings and, indeed, started to engineer and encourage them to happen? Using the mantra 'every adult is a careers teacher', The Ladder will inspire teachers to explicitly link their subject area to students' futures, both in school and outside its walls, and support them in doing so. Bernie draws upon his 30-year career in education and business development to bring clarity, focus and ideas to educators as to how they can best start students on their own ladders to success. Ultimately, in writing this book, Bernie's aim is to bring young people's futures to life with some personal skills reflection and forward planning designed to help them as they embark on their fulfilling futures - regardless of their upbringing, academic achievements or ethnic background.

The two-volume set LNAI 12033 and 11034 constitutes the refereed proceedings of the 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, held in Phuket, Thailand, in March 2020. The total of 105 full papers accepted for publication in these proceedings were carefully reviewed and selected from 285 submissions. The papers of the first volume are organized in the following topical sections: Knowledge Engineering and Semantic Web, Natural Language Processing, Decision Support and Control Systems, Computer Vision Techniques, Machine Learning and Data Mining, Deep Learning Models, Advanced Data Mining Techniques and Applications, Multiple Model Approach to Machine Learning. The papers of the second volume are divided into these topical sections: Application of Intelligent Methods to Constrained Problems, Automated Reasoning with Applications in Intelligent Systems, Current Trends in Arti cial Intelligence, Optimization, Learning,and Decision-Making in Bioinformatics and Bioengineering, Computer Vision and Intelligent Systems, Data Modelling and Processing for Industry 4.0, Intelligent Applications of Internet of Things and Data AnalysisTechnologies, Intelligent and Contextual Systems, Intelligent Systems and Algorithms in Information Sciences, Intelligent Supply Chains and e-Commerce, Privacy, Security and Trust in Arti cial Intelligence, Interactive Analysis of Image, Video and Motion Data in LifeSciences.

Companies have excelled by treating customers as "markets of one"-offering them personalized buying experiences. But in managing talent, most firms still use one-size-fits-all HR practices. With today's diverse workforces, this approach is preventing organizations from attracting, retaining, and leveraging top talent. In Workforce of One, Susan Cantrell and David Smith show how exceptional companies are tailoring work experiences to employees' talents and interests-customizing job duties, training, recognition, and even compensation, work schedules, and performance appraisals. Their reward? Lower turnover, greater productivity, improved profit margins. The authors present four customization strategies: -Segmenting your workforce; for example, by life stage and learning style -Offering modular choices; e.g., choices regarding rewards, learning needs, or job duties -Defining broad and simple rules, such as evaluating work by outcomes, not time invested, or hiring for potential in addition to specific skills -Fostering employee-defined personalization, whereby employees define their own people practices (e.g., using peer-to-peer technologies to learn from one another) Drawing on extensive proprietary research, the authors explain how to combine aspects of all four strategies to address your organization's unique needs. Improving workforce performance through customized work experiences is the holy grail of the HR function. This book shows you how the workforce-of-one approach positions your company to win-while transforming your HR team into a strategic powerhouse.

This book is the ninth volume in the Historical Computing Machines series, which aims to document the history of computing machines from the late 1930s up to about 1995. It is the second volume on Control Data computers. It is focused on the Control Data Corporation’s supercomputer systems which brought to maturity the design principles espoused by Seymour Cray. Later systems, after Cray left CDC, continued the development of families of supercomputers through the mid-1990s. CDC developed and sold supercomputers – some of the fastest machines for over 25 years – for scientific and engineering organizations. CDC’s supercomputer systems continued to be minimalist in their instruction sets, almost RISC-like in some senses. This volume covers CDC supercomputer systems through the demise of CDC as the Cold War ended, describes their system software, their effect on programming language designs, and key applications. As such, this volume strives to bring together a comprehensive, but not exhaustive, view of the capabilities of CDC supercomputer systems.

This is the first book in the field that uses the power of the basic models and principles to provide students and managers with an "intuitive understanding" of operations management. The book touches on nine fundamental models and principles, and outlines the key insights behind each one. Some of the very biggest names in the Management Science field have developed and carefully written these chapters on the field’s basic models.

The term “Artificial Intelligence” has been used since 1956 and has become a very popular research field. Generally, it is the study of the computations that enable a system to perceive, reason and act. In the early days, it was expected to achieve the same intelligent behavior as a human, but found impossible at last. Its goal was thus revised to design and use of intelligent methods to make systems more ef- cient at solving problems. The term “Applied Intelligence” was thus created to represent its practicality. It emphasizes applications of applied intelligent systems to solve real-life problems in all areas including engineering, science, industry, automation, robotics, business, finance, medicine, bio-medicine, bio-informatics, cyberspace, and man-machine interactions. To endow the intelligent behavior of a system, many useful and interesting techniques have been developed. Some of them are even borrowed from the na- ral observation and biological phenomenon. Neural networks and evolutionary computation are two examples of them. Besides, some other heuristic approaches like data mining, adaptive control, intelligent manufacturing, autonomous agents, bio-informatics, reasoning, computer vision, decision support systems, expert s- tems, fuzzy logic, robots, intelligent interfaces, internet technology, planning and scheduling, are also commonly used in applied intelligence.