Products related to Between:
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The Race between Education and Technology
An incisive history of American education—its great success in creating prosperity and equality during the twentieth century and its relative decline since the 1970s. “As Goldin and Katz have argued, the 20th century was the American century in large part because it was the human-capital century.Education—knowledge—can help people live better by allowing them to learn from past errors and make new discoveries.” —David Leonhardt, New York TimesThis book provides a careful historical analysis of the co-evolution of educational attainment and the wage structure in the United States through the twentieth century.The authors propose that the twentieth century was not only the American Century but also the Human Capital Century.That is, the American educational system is what made America the richest nation in the world.Its educational system had always been less elite than that of most European nations.By 1900 the U.S. had begun to educate its masses at the secondary level, not just in the primary schools that had remarkable success in the nineteenth century. The book argues that technological change, education, and inequality have been involved in a kind of race.During the first eight decades of the twentieth century, the increase of educated workers was higher than the demand for them.This had the effect of boosting income for most people and lowering inequality.However, the reverse has been true since about 1980.This educational slowdown was accompanied by rising inequality.The authors discuss the complex reasons for this, and what might be done to ameliorate it.
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Remote Delivery : A Guide to Software Delivery through Collaboration between Distributed Teams
This book records the author’s years of experience in the software industry.In his own practices, the author has found that the distributed work pattern has become increasingly popular in more and more work environments, either between vendors and customers or between different teams inside a company.This means that all practitioners in the software industry need to adapt to this new way of communication and collaboration and get skilled enough to meet the greater challenges in integrating the distributed work pattern with agile software delivery.By centering on the difficulties in communication and collaboration between distributed teams, this book digs into the reasons why so many remote delivery projects end up anticlimactic and provides solutions for readers’ reference.It also cites successful cases in promoting agile development in distributed teams, which has been a vexing problem for many software development companies.In addition, readers can find suggestions and measures for building self-managing teams in this book.Remote Delivery: A Guide to Software Delivery through Collaboration between Distributed Teams is a very practical guide for software delivery teams with their members distributed in different places and companies engaged in software customization.Developers, QAs, product managers, and project leaders can also be inspired by this book.
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Intelligent Automation : Bridging the Gap between Business and Academia
Since prehistoric times, humans have invented ways to simplify daily activities to improve productivity.The most recent milestone in this journey is robotic process automation (RPA), helping to build software robots that can be leveraged to automate mundane and repetitive tasks that can be labor-intensive and prone to errors.In recent years, RPA has been integrated with emerging artificial intelligence (AI) and machine learning (ML) technologies to create what is referred to as intelligent automation (IA), emulating human actions and decision-making abilities.This book addresses the critical questions about the rise, usage, and future of IA practices. This book is structured by general personas considered as its primary target audience, ranging from:Early-stage practitioners seeking to learn effective management of IA programsEstablished IA practitioners seeking to drive maturity and scaleBusiness leaders seeking to understand how to drive business value using IAPractitioners or academicians seeking to collaborateThis book is strongly recommended for practitioners seeking to plan, implement, and scale IA practices in their organization and for researchers and students who intend to study strategy, implementation, and management of IA practice to accelerate the digital transformation agenda.
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Eugenio Miozzi : Modern Venice between Innovation and Tradition 19311969
Despite the fact that he shaped Venice and its contemporary form, Eugenio Miozzi remains a little-known figure.Yet both locals and visitors experience his legacy every day, in particular when they cross his bridges: from the Ponte della Libertà, the Ponte dell’Accademia, the various bridges over the Rio Nuovo, to the exemplary Ponte degli Scalzi. Miozzi, chief engineer of the Commune of Venice from 1931 to 1954, carried out a large number of works and projects, including a vast modernist parking garage and the Casino on the Lido.The prolific engineer-architect played a role in the development of the Fenice, made plans for the restoration of the city and the extension of the Tronchetto, and designed a trans-lagoon road and a motorway from Venice to Monaco.These projects and the others presented in this illustrated volume represent Miozzi’s efforts to combine the centuries-old traditions of Venice with a spirit of innovation as a guarantee for the city’s survival.
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What is the difference between automation technology and mechatronics?
Automation technology focuses on the use of control systems to operate equipment and processes with minimal human intervention. It involves the use of sensors, actuators, and controllers to automate tasks. Mechatronics, on the other hand, is a multidisciplinary field that combines elements of mechanical engineering, electrical engineering, and computer science to design and create intelligent systems. Mechatronics integrates mechanical systems with electronics and computer control to create advanced automated systems that can perform complex tasks. In summary, automation technology is a subset of mechatronics, which is a broader field encompassing a wider range of technologies and disciplines.
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What is the difference between automation technology, PLC, and PCS7?
Automation technology refers to the use of control systems, such as PLC and PCS7, to automate industrial processes. PLC (Programmable Logic Controller) is a type of control system that uses a programmable memory to store instructions and execute specific functions, such as controlling machinery on a factory floor. PCS7 (Process Control System 7) is a specific type of automation technology developed by Siemens, which integrates various control systems and devices to monitor and control industrial processes in real-time. In summary, automation technology is the broader concept that encompasses the use of control systems like PLC and PCS7 to automate industrial processes, while PLC and PCS7 are specific types of control systems used in automation technology.
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How difficult is a study of robotics and automation?
The study of robotics and automation can be challenging due to its interdisciplinary nature, requiring knowledge in fields such as mechanical engineering, electrical engineering, computer science, and control systems. Additionally, the rapid advancements in technology and the need to stay updated with the latest developments can add to the complexity of the study. However, with dedication, problem-solving skills, and a strong foundation in mathematics and physics, students can overcome these challenges and excel in the field of robotics and automation.
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What is the difference between rationalization and automation?
Rationalization involves making a process more efficient by reorganizing or restructuring it to eliminate unnecessary steps or reduce complexity. Automation, on the other hand, involves using technology to perform tasks or processes without human intervention. While rationalization focuses on improving the process itself, automation focuses on reducing the need for human involvement in executing the process. Both rationalization and automation can lead to increased efficiency and productivity in an organization.
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Apprenticeship in dual and non-dual systems : Between tradition and innovation
Vocational education, apprenticeship included, is subject to reviews and updates that the recent crises are demanding.The role of education and training systems in different welfare regimes is key in shaping what it involves becoming an adult, a worker and a citizen.Nevertheless, policy-makers often indicate dual systems as the most successful, efficient and intelligent way to provide vocational education.This volume contributes with research that discusses the appropriateness of dual systems in Germany and Switzerland and shows some of its current weaknesses.It also portrays effective and non-effective ways of introducing apprenticeships in non-dual systems in Sweden and Spain.The authors want to contribute to the debate on the internationalization of VET and particularly of dual systems, to clarify differences between apprenticeship and alternance (too often taken as synonymous).Particularly relevant is the seldom-cited case of France.
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Dialogues Between Artistic Research and Science and Technology Studies
This edited volume maps dialogues between science and technology studies research on the arts and the emerging field of artistic research.The main themes in the book are an advanced understanding of discursivity and reasoning in arts-based research, the methodological relevance of material practices and things, and innovative ways of connecting, staging, and publishing research in art and academia.This book touches on topics including studies of artistic practices; reflexive practitioners at the boundaries between the arts, science, and technology; non-propositional forms of reasoning; unconventional (arts-based) research methods and enhanced modes of presentation and publication.
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Operating AI : Bridging the Gap Between Technology and Business
A holistic and real-world approach to operationalizing artificial intelligence in your company In Operating AI, Director of Technology and Architecture at Ericsson AB, Ulrika Jägare, delivers an eye-opening new discussion of how to introduce your organization to artificial intelligence by balancing data engineering, model development, and AI operations.You'll learn the importance of embracing an AI operational mindset to successfully operate AI and lead AI initiatives through the entire lifecycle, including key areas such as; data mesh, data fabric, aspects of security, data privacy, data rights and IPR related to data and AI models. In the book, you’ll also discover: How to reduce the risk of entering bias in our artificial intelligence solutions and how to approach explainable AI (XAI)The importance of efficient and reproduceable data pipelines, including how to manage your company's dataAn operational perspective on the development of AI models using the MLOps (Machine Learning Operations) approach, including how to deploy, run and monitor models and ML pipelines in production using CI/CD/CT techniques, that generates value in the real worldKey competences and toolsets in AI development, deployment and operationsWhat to consider when operating different types of AI business models With a strong emphasis on deployment and operations of trustworthy and reliable AI solutions that operate well in the real world—and not just the lab—Operating AI is a must-read for business leaders looking for ways to operationalize an AI business model that actually makes money, from the concept phase to running in a live production environment.
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Thinking through Technology : The Path between Engineering and Philosophy
What does it mean to think about technology philosophically?Why try? These are the issues that Carl Mitcham addresses in this work, a comprehensive, critical introduction to the philosophy of technology and a discussion of its sources and uses.Tracing the changing meaning of "technology" from ancient times to the modern day, Mitcham identifies the most important traditions of critical analysis of technology: the engineering approach, which assumes the centrality of technology in human life; and the humanities approach, which is concerned with its moral and cultural boundaries.Mitcham bridges these two traditions through an analysis of discussions of engineering design, of the distinction between tools and machines, and of engineering science itself.He looks at technology as it is experienced in everyday life: as material objects (from kitchenware to computers); as knowledge (including recipes, rules, theories and intuitive "know-how"); as activity (design, construction and use); and as volition (knowing how to use technology and understanding its consequences). By elucidating these multiple aspects, Mitcham establishes criteria for a more comprehensive analysis of ethical issues in applications of science and technology.
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What is the difference between automation and automatization?
Automation refers to the use of technology and machines to perform tasks that were previously done by humans. It involves the use of control systems and information technologies to reduce the need for human intervention. On the other hand, automatization refers to the process of making a system or process automatic, often through the use of technology. While the two terms are related, automation specifically refers to the use of technology to perform tasks, while automatization refers to the process of making something automatic.
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What is the difference between an electronics technician for industrial engineering and an electronics technician for automation technology?
An electronics technician for industrial engineering typically focuses on maintaining and repairing electronic systems used in various industries, such as manufacturing plants or power plants. They are responsible for ensuring that electronic equipment operates efficiently and safely within an industrial setting. On the other hand, an electronics technician for automation technology specializes in designing, installing, and maintaining automated systems that control machinery and processes. They work with programmable logic controllers (PLCs) and other advanced technologies to optimize production processes and increase efficiency in industrial automation.
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Is the technical diploma in automation technology difficult?
The difficulty of the technical diploma in automation technology can vary depending on the individual's background, experience, and aptitude for the subject matter. Some students may find the coursework challenging due to the complex concepts and technical skills required, while others with a strong foundation in math, science, and technology may find it more manageable. Overall, dedication, hard work, and a genuine interest in automation technology can help students succeed in completing the program.
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Is the electronics technician for automation technology difficult?
Becoming an electronics technician for automation technology can be challenging, as it requires a strong understanding of electrical systems, programming, and automation technology. The field is constantly evolving, so technicians must stay updated on the latest advancements and technologies. However, with dedication and the right training, individuals can develop the skills and knowledge needed to succeed in this role. It may be difficult at times, but the opportunities for growth and the potential to work on cutting-edge technology make it a rewarding career choice for those passionate about automation.
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