Mobile Working Machines are defined by three characteristics. These machines have a cer-tain task of doing a working process, they are mobile, and they have a signifi cant energy share in their working functions. The machines should be as productive, efficient and of high quality as possible. All these machines in the fi eld of agriculture, forestry, construction, logistics, municipal sector, and in other special applications work in different applications. But, many technologies placed in the machines are the same, similar or comparable; therefore, different branches can learn from each other. Mobile Working Machines provides a wide and deep view into the technologies used in these machines. Appropriate for new engineers as well as those who wish to increase their knowledge in this field, this book brings together all the latest research and development into one place.
Working Machines - An executive’s guide to AI and Intelligent Automation, takes a look at how the renewed vigour for the development of Artificial Intelligence and Intelligent Automation technology has begun to change how businesses operate. It provides a step-by-step guide to building your own AI and Intelligent Automation strategies and frameworks, while also giving you insight into the way it is currently being used across multiple industries. This extensive guide is brought to you by the minds behind WeAreBrain and Tur.ai, experts in the AI, RPA and business automation fields.
‘With the call of ‘Hey, you guys! Let’s get to work,’ women and men shoulder drills and picks, board cranes and cement mixers, and set their equipment bulldozing and steamrolling across vibrant page spreads. Barton generates the excitement of road and building construction for young sidewalk engineers.’ —BL. 1988 Fanfare Honor List (The Horn Book) Notable 1987 Children's Trade Books in Social Studies (NCSS/CBC) Outstanding Science Trade Books for Children 1987 (NSTA/CBC) 1987 Children's Books (NY Public Library)
A public policy leader addresses how artificial intelligence is transforming the future of labor—and what we can do to protect the role of workers. As computer technology advances with dizzying speed, human workers face an ever-increasing threat of obsolescence. In Human Work In the Age of Smart Machines, Jamie Merisotis argues that we can—and must—rise to this challenge by preparing to work alongside smart machines doing that which only humans can: thinking critically, reasoning ethically, interacting interpersonally, and serving others with empathy. The president and CEO of Lumina Foundation, Merisotis offers a roadmap for the large-scale, radical changes we must make in order to find abundant and meaningful work for ourselves in the 21st century. His vision centers on developing our unique capabilities as humans through learning opportunities that deliver fair results and offer a broad range of credentials. By challenging long-held assumptions and expanding our concept of work, Merisotis argues that we can harness the population’s potential, encourage a deeper sense of community, and erase a centuries-long system of inequality.
This edited collection provides a series of accounts of workers’ local experiences that reflect the ubiquity of work’s digitalisation. Precarious gig economy workers ride bikes and drive taxis in China and Britain; call centre workers in India experience invasive tracking; warehouse workers discover that hidden data has been used for layoffs; and academic researchers see their labour obscured by a ‘data foam’ that does not benefit them. These cases are couched in historical accounts of identity and selfhood experiments seen in the Hawthorne experiments and the lineage of automation. This book will appeal to scholars in the Sociology of Work and Digital Labour Studies and anyone interested in learning about monitoring and surveillance, automation, the gig economy and the quantified self in the workplace.
How do companies in high labor cost countries manage to remain competitive? In western manufacturing, the more manual a process, the more severe the competitive handicap of high wages. Full automation would make labor costs irrelevant but remain impractical in most industries. Most successful manufacturing processes in advanced economies are neither fully manual nor fully automatic -- they involve interactions between small numbers of highly skilled people and machines that account for the bulk of the manufacturing costs and thereby remain competitive. In Working with Machines: The Nuts and Bolts of Lean Operations With Jidoka, author Michel Baudin explains how performance differences that can be observed from one factory to the next are due to the way people use the machines -- from the human interfaces of individual machines to the linking of machines into cells, the management of monuments and common services, automation, maintenance, and production control.
In recent decades digital devices have reshaped daily life, while tech companies’ stock prices have thrust them to the forefront of the business world. In this rapid, global development, the promise of a new machine age has been accompanied by worries about accelerated joblessness thanks to new forms of automation. Jason E. Smith looks behind the techno-hype to lay out the realities of a period of economic slowdown and expanding debt: low growth rates and an increase of labor-intensive jobs at the bottom of the service sector. He shows how increasing inequality and poor working conditions have led to new forms of workers’ struggles. Ours is less an age of automation, Smith contends, than one in which stagnation is intertwined with class conflict.
AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.
