Download or read book Artificial Intelligence Raises Efficiency In Manufacturing Industry written by Johnny Ch Lok and published by . This book was released on 2019-12-11 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological progress is main driver of growth of GDP per capita, allowing output to increase faster than labor and capital . However, technology can increase productivity, but also decrease the number of labor hours needed to create a unit of output. So (AI) causes unequal to labor wage decreases, even reduces the number of labor to manufacture, e.g. artificial intelligence technology of automation car manufacturing industry; clothing manufacturing industry; plane manufacturing etc. high technology of artificial intelligence manufacturing method. But (AI) should be potential environment benefit, although it raises unemployment ratio. Moreover, it can rise production, due to many skilled craft were replaced by the combination of machines and lower-skilled labor. The result of (AI) technology introduction, it causes output per hour risen when inequality declined, driving up average living standards, but the labor of some high-skill workers was no longer as valuable in the market. Otherwise, if (AI) technology is continue developed to be success. Some routine intensive occupations will be loss, which focused on predictable, e.g. easily programmable tasks, such as switchboard operators, filing clerks, travel agents, and assembly line workers would be particularly replaced by new (AI) technology. However, at the same time, (AI) technology development will bring these benefits: improvement in education ( training (AI) technology scientists), due to (AI) manufacturing technology needs are raising to businesses and institutional changes, such as the reduction in unionization and raising in the minimum wage to the (AI) manufacturing technology skilled labor in factories.Because (AI) technology is not a single technology, but rather a collection of technologies that are applied to specific tasks, the effects of (AI) will be felt unevenly though the economy. It will bring some tasks will be most easily automated than others, and some jobs will be affected more than others, both negatively and positively. Finally, new jobs are likely to be directly created in areas, such as the development and supervision of (AI) as well as indirectly created in a range areas though out the economy as higher incomes lead to expanded demand.However, if (AI) technology could dominate global labor markets. If labor productivity increases, do not influence to wage increases, then the large economic gains brought about by (AI) technology could be increased wealth inequality, due to employers can reduce production cost, but workers ( labors) wages will not be increased, even will be decreased. Hence, it seems the (AI) technology will bring disadvantages to labor market to cause unemployment or reduce wages in possible, although it can reduce employer individual salary (wage) expenditure and it can raise productivity.⦁How can artificial intelligence impact global economy growth?Artificial intelligence (AI) technology is a branch of computer science that aims to create intelligent machines that work and react like humans. So, (AI) is a technology that appears to impact ( influence) human preference by learning, understanding complex contents, enhancing humans in executing both routine and non-routine tasks. In the future, (AI) technology that can be virtual personal assistant, as well as it may exist, such as robots with human-like processing capabilities

Download or read book Artificial Intelligence Raises Consumption Market written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-11-30 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: IntroductionNowadays, artificial intelligent robotic technology which is one kind of popular tool to help workers to work in factories or offices or serve clients in restaurants or shopping centers. It brings this question: Can artificial intelligent robotic machine men assist workers to raise productive efficiencies or improve service performance? All workers are replaced by artificial intelligent robotic machine or some workers are replaced by artificial intelligent robotic machine which can raise more productive efficiencies or improve better service performace ?If one factory or one office only applies artificial intelligent robotic machine men to replace human labors to help its different departments to do any tasks, whether can its (AI) robotic machine men help them to raise productive efficiencies ? If one restaurant or one shopping center only apply (AI) robotic machine men to help to serve clients, whether can its (AI) robotic machine men help them to improve service performance? Is it better to apply half manual labors and half (AI) robotic machine men to work in one organization in order to raise productive efficiencies or improve service performance?In my this book, I shall indicate some cases to explain how and why (AI) robotic machine men can either raise productive efficiencies or improve service performance or they can't either raise productive efficiencies or improve service performance in any situations. Managers or employees can evaluate whether how to apply (AI) robotic machine men to assist them to work in their workplaces in order to achieve the most beneficial advantages to their organization's different departments' raising productivity and efficiency and service performance improvement aims.This book concerns how to apply artificial intelligence technology to apply to US some consumption market. I shall explain how to apply (AI) technology to these America consumption market to raise their food or product productivity growth efficiently. I shall indicate some popular American consumption market of some consumer products and foods as well as manufacturers' production of material consumption products. This book brings two questions: (1)Can apply (AI) technology to raise these US food and product productivity growth?(2) Will these US food and product quality influence to be poor after (AI) technology is applied to raise productivity growth ? The manufacturers material and consumers product researching topics include: How to apply (AI) technology to raise future U.S. tobacco productivity growth? How to apply (AI) technology to raise steel material productivity growth for manufacturing industries? How to apply (AI) technology to raise minerals productivity growth for U.S. manufacturing industries? How to apply (AI) technology to improve oranage fruit and vegetables logistic transportation speed in efficient way in warehouses? How to apply (AI) technology to improve U.S. alcohol logistic transportation speed in efficient way in warehouse? How to apply (AI) technology to improve U.S. energy service performance to satisfy energy users' needs? How to apply (AI) tehnology to improve wine and tea logistic transportation speed in warehouse? How to apply (AI) technology to improve pork logistic transportation speed in warehouse? How to apply (AI) technology to improve U.S. tourism entertainment service performance to satisfy traveller needs? How to apply (AI) technology to impove sugar logistic transportation speed in warehouse? How to apply (AI) technology to raise lighting product productivity growth ?

Download or read book How And Why Artificial Intelligence Raises Productive Efficiency written by Johnny Ch Lok and published by . This book was released on 2021-04-17 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why does (AI) and digital transformative combination technologies raise productivity growth or improve service performance? From 1995 to 2004 year, US experienced an acceleration in productivity growth, largely reflecting gains associated with the diffusion of ICT technologies. From the early to mid-2000 year onward, productivity growth has slowed down. The potential impacts of the ongoing digital transformation on productivity also need to consider in the context of this long term slowdown. When, the precise reasons for today's productivity remain difficult to a number of factors are likely to contribute as below factors: The first factor that has limited the impacts of digital transformation is the state of diffusion of digital technologies across the economy. When, many firms now have across to broadband networks, the use of more advanced digital tools and application with firms still differs greatly across countries. Moreover, these are important differences between rapid technological change, advanced technologies are initially only adopted by some leading firms and then only later diffuse to all firms as the technologies because more established new business models grow, such as applying digital and (AI) technological combine method to raise productivity growth is caused and costs fall. Consequently, these is large demand between what can be automated from a technical point of view and what may already be implemented by frontier firms and what is actually being achieve to raise productivity growth aim. So, (AI) and digital transformative technology influence future raising productivity growth or improving service aim achievement for many manufacturing and service industry demand.The second factor indicator that the available evidence suggests that the wide-spread benefits of digitalization productivity are not enough. Firms expect to help strengthen investment ( in tangible and intangible assets), e.g. (AI) technology. The same time, there are now starting to experience labor shortages, e.g. in certain technical occupations, such as data scientists. Due to the technological change is fast and growing demand for productivity growth has been increasing. SO, it will influence future (AI) robotic learning system and digital technological combination to be applied to manufacturing and service industries' needs to be raised. Due to many firms expect to find methods to raise productivity growth in order to reduce production costs.However, (AI) and digital technological development can cause multiple forms of disruption, from shifts in demand for workforce skills to changes in market structure, the need for new business models, new patterns of trade and investment. The (AI) and digital potentially transformative technologies can create new inventions, e.g. from quantum computing and advanced energy storage to new forms of 3D printing, big data analytics and neuro-technologies. These new product creative industries must lead the new product manufacturers to expect to learn how to apply (AI) and digital technology to raise productivity growth when their manufacturing processes. IN fact, (AI) is the ability of learning machine and system to acquire and apply knowledge and carry out intelligent behavior. Early efforts to develop (AI) centered on defining rules that software could use to perform a tack, such systems would work in speech recognition, (AI) skill. Increase in computational power, new statistical methods and advances in big data, have brought major breakthroughs to the field of (AI), especially in " vertical " (AI) like automated vehicles as opposed to " general". (AI) with machine learning algorithms that identify complex patterns in large data sets. Software applications can perform tasks and simultaneously learn how to improve productive performance.

Download or read book Powering the Digital Economy Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Download or read book How Artificial Intelligence Raises written by Johnny Ch LOK and published by Independently Published. This book was released on 2018-11-29 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: For example, advanced robotics can be applied to 3 D printing technological manufacturing copied product tasks from digital -physical transformation. So, (AI) robotics can replace workers to do any 3D printing tasks to copy any products. The benefits to change the factory's physical location to be small areas, high speed network, raising producers' revenues ( new offering, business models) and reducing cots ( selling, administrative expenses, logistic etc. ) , less long term investments and capabilities to achieve 3 D printing product increasing number in efficient (AI) robotic working speed. Although , it is possible to destroy factory labor worker 3 D printing product job, but it can create new 3 D printing (AI) robotic controller working jobs to be technicians to teach (AI) robotic machines to learn how to use 3 D printer to manufacture any copied products. The most important benefit of 3D robotic machines replacing labor 3D printing labors that is the manufacturer can reduce labor 3 D printing worker number, due to the manufacturer applies (AI) robotic to assist the 3D printing workers to fo every step of manufacturing copied product tasks. So, the 3D printing (AI) robotic machine labors can replace all 3 D printing labor workers to do every step to apply 3 D printers to manufacture every copied product. Otherwis, the 3 D printing copied product manufacture will employ the (AI) robotic technicians to control and supervise and teach the (AI) robotic 3 D printing product machines to learn how to use the 3 D printers to do every step to manufacture different kinds of copied products to sell in the market. Hence, the 3 D printer copied product manufacture will reduce labors and salary when it applies 3 D printing robotic machine labors to replace labor workers to finish every printing step to manufacture different kinds of copied products in factory. for example, when the 3 D printing technicians had taught the robotic machine to learn how to apply 3 D printer to manufacture a copied vehicle's motor engine. Then, the (AI) robotic machine had learnt how to apply the 3D printer to manufacture different kinds of copied vehicle motor engines in every step. It is possible that the (AI) robotic machine 3D printing skills will be improved more better to compare human 3 D printing workers' skills as well as its 3D printing vehicle motor engine copied product manufacturing speed will also faster than human 3D printing worker's printing copied manufacturing product's speed. Consequently, it will bring positive benefits to any kinds of vehicle engine products productivity number growth to sell different kinds of vehicle engines to vehicle sellers to different country vehicle sale market in order to raise its global vehicle engine sale market competitive effirt and revenue. So, (AI) robotic machine seems really raise productivity growth when it is applied to manufacturing industry.Why is (AI) learning system the best tool to be applied to manufacturing industry? In fact, future (AI) robotic machine will be one kind of intangible capital to manufacturing organizations to help them to innovate, adjustment costs, organizational changes to be better and new manufacturing skills are needed for successful in every production process. Historically, most computer programs were created by codifying human knowledge, step-by-step, mapping inputs to outputs by the programmers. In constrast, machine learning systems use categories of general algorithms , e.g. neural networks to figure out the relevant mapping on their own, typically by being fed very large data sets of examples. By using these machine learning methods bring the growth in total data and data processing resources, machines have made impressive gains in perception and cognition, two essential skills for most types of human work.

Download or read book AI Powered Industry written by Hebooks and published by Hebooks. This book was released on with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: "AI-Powered Industry: How Artificial Intelligence Will Revolutionize Manufacturing" offers an insightful exploration of the transformative impact of artificial intelligence (AI) on the manufacturing landscape. This book delves into the core concepts of AI, its historical evolution, and its relevance to the manufacturing industry. Readers will gain a comprehensive understanding of AI's potential to optimize production, improve efficiency, enhance quality, and enable personalized customization within the manufacturing sector. Through case studies and future projections, this book provides a compelling vision of AI's role in shaping the future of manufacturing.

Download or read book How Artificial Intelligence Raises Efficiency and Performance written by Johnny Ch LOK and published by . This book was released on 2018-12-13 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book divides two part : Artificial intelligence raises productive efficiency and service performance. This book part first is concerned how to apply artificial intelligent machine or robot to raise productivive efficiency in factory.Research question: How to apply artificial intelligence to raise labor productive efficiency?Research question: How to apply (AI) technology to raise labor efficiencies or productivities? The first part is intended to explain why and how (AI) technology and raising productivity or efficiency has close relationship. First part gives some artificial intelligence technologic concepts to indicate why and how (AI) can raise labor productive efficiency to assist labor to work in factories. This book first part is suitable to any managers have interest to learn how to apply (AI) technological productive method to achieve economic benefit in factories . In this part, the main important aim, I give examples to explain how to apply (AI) technology to raise labor productive efficiencies really.Research question: How to apply (AI) technology to assist employees to improve service performance to serve clients? This book second part is concerned how to apply (AI) technology to raise service performance. Also I shall compare to explain what advantages and disadvantages when the organization either choose to apply (AI) or not choose (AI) to assist employees to serve clients, these any one sample industry encounters customer complains, due to it lacks (AI) technologic assistance to aim to let any reader to judge whether how to choose the solvable method is better. In, conclusion, this book can provide sample industries to let students to feel whether (AI) technology will raise labor productivities or efficiency or service performance. In part two, it shall indicate how the process of (AI) technologic robots field develops to assist employees to serve clients to let they feel more satisfactory and reduce any unreasonable complains. I shall indicate underground train and Disney entertainment theme park and University and unground train transportation and environmental protection businessmen etc. enterprises to explain how which can apply (AI) robotic machines to assist employees to provide more excellent service to let them to feel. Thus, I shall assume that if one company or individual businessman can apply (AI) technology to assist employees to serve clients in shopping center or restaurant etc. or assist them to produce any products in factories. Then they have more confidence to attract more clients or reduce labour turnover. I shall give insurance and travel both industries to explain how to apply (AI) technology to serve insurance or travelling clients solve consumer behavioral prediction as well as I shall indicate some methods to explain how to apply (AI) technology to assist manufacturers or service providers to attempt to solve some challenges encountering when who attempt to raise service performance or productive efficiencies.

Download or read book Artificial Intelligence Raises written by Johnny Ch Lok and published by . This book was released on 2019-05-25 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: What of situations do merchants need advertisements promotion? The short purchase cycle markets are characterized by routinepurchase decision processes or by limited problem solving when a new brand is introduced on the market, e.g. coffee, bread, sugar, soft drinks, canned vegetables and household and beauty care products fall into this category. Another irregular purchase cycle markets are characterized by products that are purchased more or less regularly, e.g. cookies, cake mixes, wines, food products. Finally, long or unpredictable purchase cycle markets include all durable products, such as cars, household appliances and furniture ( products from which occasions of purchase can't be predicted, which most consumers buy only occasionally). Hence, these kinds of products ought need advertisement promotion specially, due to advertisement can build brand image to let consumers to know. Especially, it is a new brand of product. In conclusion, advertisement will be one good channel to let new product to introduce its brand to let clients to remember in minds heart.Consequently, future (AI) tool needs to learn how to design different kinds of advertisement to attract consumer attention to the product, needs to learn how to find what the bad factor(S) which cause(S) many consumers do not choose to buy the product, needs to learn when the product price needs to be raised up or fallen down in order to bring consumers' positive emotion to choose to buy the product immediately. SO, if (AI) tool can be invented to own itself effort to design different kinds of methods to predict consumer behavior in order to bring their positive emotion to the product successfully, then the manufacturer can earn positive consumer emotion advantage from the (AI) tool assistance for long term benefit to its product.

Download or read book Time Pressure Raises Efficient Or Inefficient Artificial Intelligence Performance written by Johnny Ch Lok and published by . This book was released on 2019-07-21 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: -Can (AI) influence global economy growth?Technological progress is main driver of growth of GDP per capita, allowing output to increase faster than labor and capital . However, technology can increase productivity, but also decrease the number of labor hours needed to create a unit of output. So (AI) causes unequal to labor wage decreases, even reduces the number of labor to manufacture, e.g. artificial intelligence technology of automation car manufacturing industry; clothing manufacturing industry; plane manufacturing etc. high technology of artificial intelligence manufacturing method. But (AI) should be potential environment benefit, although it raises unemployment ratio. Moreover, it can rise production, due to many skilled craft were replaced by the combination of machines and lower-skilled labor. The result of (AI) technology introduction, it causes output per hour risen when inequality declined, driving up average living standards, but the labor of some high-skill workers was no longer as valuable in the market. Otherwise, if (AI) technology is continue developed to be success. Some routine intensive occupations will be loss, which focused on predictable, e.g. easily programmable tasks, such as switchboard operators, filing clerks, travel agents, and assembly line workers would be particularly replaced by new (AI) technology. However, at the same time, (AI) technology development will bring these benefits: improvement in education ( training (AI) technology scientists), due to (AI) manufacturing technology needs are raising to businesses and institutional changes, such as the reduction in unionization and raising in the minimum wage to the (AI) manufacturing technology skilled labor in factories.Because (AI) technology is not a single technology, but rather a collection of technologies that are applied to specific tasks, the effects of (AI) will be felt unevenly though the economy. It will bring some tasks will be most easily automated than others, and some jobs will be affected more than others, both negatively and positively. Finally, new jobs are likely to be directly created in areas, such as the development and supervision of (AI) as well as indirectly created in a range areas though out the economy as higher incomes lead to expanded demand.

Download or read book Can Artificial Intelligence Raise Productivities and Efficiences written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-03-08 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: ⦁Can (AI) influence global economy growth?Technological progress is main driver of growth of GDP per capita, allowing output to increase faster than labor and capital . However, technology can increase productivity, but also decrease the number of labor hours needed to create a unit of output. So (AI) causes unequal to labor wage decreases, even reduces the number of labor to manufacture, e.g. artificial intelligence technology of automation car manufacturing industry; clothing manufacturing industry; plane manufacturing etc. high technology of artificial intelligence manufacturing method. But (AI) should be potential environment benefit, although it raises unemployment ratio. Moreover, it can rise production, due to many skilled craft were replaced by the combination of machines and lower-skilled labor. The result of (AI) technology introduction, it causes output per hour risen when inequality declined, driving up average living standards, but the labor of some high-skill workers was no longer as valuable in the market. Otherwise, if (AI) technology is continue developed to be success. Some routine intensive occupations will be loss, which focused on predictable, e.g. easily programmable tasks, such as switchboard operators, filing clerks, travel agents, and assembly line workers would be particularly replaced by new (AI) technology. However, at the same time, (AI) technology development will bring these benefits: improvement in education ( training (AI) technology scientists), due to (AI) manufacturing technology needs are raising to businesses and institutional changes, such as the reduction in unionization and raising in the minimum wage to the (AI) manufacturing technology skilled labor in factories.Because (AI) technology is not a single technology, but rather a collection of technologies that are applied to specific tasks, the effects of (AI) will be felt unevenly though the economy. It will bring some tasks will be most easily automated than others, and some jobs will be affected more than others, both negatively and positively. Finally, new jobs are likely to be directly created in areas, such as the development and supervision of (AI) as well as indirectly created in a range areas though out the economy as higher incomes lead to expanded demand.However, if (AI) technology could dominate global labor markets. If labor productivity increases, do not influence to wage increases, then the large economic gains brought about by (AI) technology could be increased wealth inequality, due to employers can reduce production cost, but workers ( labors) wages will not be increased, even will be decreased. Hence, it seems the (AI) technology will bring disadvantages to labor market to cause unemployment or reduce wages in possible, although it can reduce employer individual salary (wage) expenditure and it can raise productivity.

Download or read book Reinventing Manufacturing and Business Processes Through Artificial Intelligence written by Geeta Rana and published by CRC Press. This book was released on 2021-12-14 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book describes how newly emerging Artificial Intelligence (AI) technologies will provide unprecedented opportunities to penetrate technology and automation into everything we do, and at the same time, provide a huge playing field for businesses to develop newer models to capture market share. It establishes a milestone in understanding global transformational changes occurring in the manufacturing and corporate world due to AI and tries to find powerful and sophisticated solutions that will improve and streamline operations. Reinventing Manufacturing and Business Processes Through Artificial Intelligence will be of interest to students, researchers, and professionals of the AI community as well as interdisciplinary researchers.

Download or read book Factories of the Future written by Chandan Deep Singh and published by John Wiley & Sons. This book was released on 2023-05-31 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: FACTORIES OF THE FUTURE The book provides insight into various technologies adopted and to be adopted in the future by industries and measures the impact of these technologies on manufacturing performance and their sustainability. Businesses and manufacturers face a slew of demands beyond the usual issues of staying agile and surviving in a competitive landscape within a rapidly changing world. Factories of the Future deftly takes the reader through the continuous technology changes and looks ten years down the road at what manufacturing will mostly look like. The book is divided into two parts: Emerging technologies and advancements in existing technologies. Emerging technologies consist of Industry 4.0 and 5.0 themes, machine learning, intelligent machining, advanced maintenance, reliability, and green manufacturing. The advances of existing technologies consist of digital manufacturing, artificial intelligence in machine learning, Internet of Things, product life cycle, and the impact of factories on the future of manufacturing performance of the manufacturing industries. Readers will find in this illuminating book: A comprehensive discussion of almost all emerging technologies, including “green” manufacturing; An overview of the social, economic, and technical aspects of these technologies; An explanation of these technological advancements on manufacturing performance, through case studies and other analytical tools.

Download or read book Artificial Intelligence Raises Efficiencies written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-01-06 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book divides two part: Artificial intelligence how raises efficiencies as well as how and why it can be influenced to bring to avoid wage inequality welfare. This book part first is concerned how to apply artificial intelligent machine or robot to raise productivive efficiency in factory. I shall assume that (AI) robotic can assist labours to raise productivities and bring raising efficiency. Then it brings these both questions as below: Research question: How to apply (AI) technology to raise labor efficiencies or productivities?Research question: Why and How (AI) technology can help employers to evaluate or measure whom has higher or lower productive efficiencies in order to evaluate the more reasonable or equal wages to every worker when it applies (AI) technology to assist labours to manufacture any products?The first part is intended to explain why and how (AI) technology and raising productivity or efficiency has close relationship. First part gives some artificial intelligence technologic concepts to indicate why and how (AI) can raise labor productive efficiency to assist labor to work in factories. This book first part is suitable to any managers have interest to learn how to apply (AI) technological productive method to achieve economic benefit in factories . In this part, the main important aim, I give examples to explain how to apply (AI) technology to raise labor productive efficiencies really.This book second part to explain why and how AI can bring advantages to organizations to reduce wage more inequality when they apply AI technology to assist labor to raise efficiencies. I shall indicate Japan, China, America three countries to explain they applied (AI) technology to assist labors to productivities, then they can raise efficiencies, even avoid the wage inequality causes. For example, why and how (AI) can reduce regular/non-regular wage gap when Japanese and Chinese manufacturing firms apply (AI) technology to raises efficiency as well as causes the wage is paid more fair to their labours. Also, I shall explain why and how any country's firm will bring more efficiency and more fair wage equality when they applied (AI) technology to assist labours to produce. Finally, I write this book aims to explain how the process of (AI) technologic robots field develops to assist employees to raise productive efficiencies. I shall indicate how and why book supplier and entertainment theme park and educational service example to explain how these service industries can apply (AI) robotic machines to assist employees whether (AI) can assist raise efficiencies as well as how and why these service industries can apply (AI) to assist teachers or entertainment service staff or warehouse book printing staff to bring the raising efficiencies benefit in order to evaluate their staffs whom has higher efficiencies or lower efficiencies to evaluate the more reasonable or equal wage consequently.

Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Download or read book Artificial Intelligence Raises Efficiencies and Brings written by Johnny Ch LOK and published by . This book was released on 2018-12-30 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter FourThe reasons why and how AI can avoid wage inequality to the organization laboursWhat do wages buy? How work force responses to an efficiency wage, productivity, turnover. For example, given the choice of what cause the wage inequality of difference between the America and German employment policies. I would take the German goverment policy system for example because it is more social and human. Otherwise, I would take the America government policy system because American government understands capitalism of the free market. Such as German and America is one heavy industry manufacturing country, it is famous to manufacture car, steels, boat, etc. different steel manufacturing product. So, if robotics are popular to be used to manufacture any products which are needed to use steel to manufacture. Then, German and America factory labors who need to learn how to apply robotic to cooperate with them to manufacture any kinds of steel products more efficiently. So, it is simple that German and America heavy industry manufacturers can easily to evaluate whether wage determination to whom when every labor individual wage is needed to be raised, because he/she can cooperate with robotic to manufacture any kinds of steel products more efficiently. SO, the lower efficient labors won't ought be raised her/his wage easily. SO, roboic working participation will bring either raising efficiency to some factory workers when they can learn how to cooperate with robotic more easily or not raising efficiency to some factory workers when they can not learn how to cooperate with with robotic difficultlyHow robotic brings productive efficiency benefits to labors as these both view points as below:First, on the robotic working participation view point, I think, due to the nowadays technological development factor, we need more labours who need own highly qualified and skillful labours need to be motivated than in past employees who did not need own highly qualified and did not need motivated. Besides, in this regard, a preventative robotic working participation strategy is the best strategy to reduce the wage inequality, because the manager can apply robotic participation to every labor individual job in order to evaluate how much every worker actual ability owns either he/she can raise efficiency or he/she can not raise efficiency from robotic assistance . For example, these three countries, such as Japan, China and America were , it would be a different robotic working participation to every worker individual working matter strategy to avoid themselve any employees feel wage inequality habitually , due to none robotic participation with their jobs in their manufacturing processes.

Download or read book Lean Six Sigma in the Age of Artificial Intelligence Harnessing the Power of the Fourth Industrial Revolution written by Michael L. George and published by McGraw Hill Professional. This book was released on 2019-02-08 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world’s leading expert on Lean Six Sigma provides the missing link for reducing waste and taking operations to the next level: Artificial Intelligence “Whatever the industry, there is an executive with the grit and determination to apply AI to attain the fastest growth, the highest investment returns, to dominate that industry. The only question is: will it be you?” –from Lean Six Sigma in the Age of Artificial Intelligence Combine the power of AI and LSS to seize the competitive advantage—quickly, decisively, and permanently Since 2001, business leaders have been using Lean Six Sigma (LSS) to drive improvements across industries, enabling their companies to reduce cycle time and waste, thus improving revenue and profits. Now they can finally unlock their company’s full potential by combining LSS and AI. In Lean Six Sigma in the Age of Artificial Intelligence, the world’s most respected expert on LSS, Michael L. George, Sr., shows how to harness the power of the technology that promises changing everything as we know it—Artificial Intelligence—to dramatically enhance any LSS management program. This game-changing guide takes you through the process of using AI to unlock maximum speed, solve complex manufacturing challenges, reduce waste, increase company profits, and ultimately outflank your competition at every turn. With Lean Six Sigma in the Age of Artificial Intelligence, you’ll take this revolutionary approach to its limits—and that will make all the difference between business success and failure in the coming decades.

Download or read book How Can Artificial Intelligence Raise Efficiencies To Avoid Wage Inequality written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-03-30 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: How and why (AI) technology can be applied to service industry, instead of manufacturing industry? I shall explain how (AI) technology can encourage consumption behaviors when it is applied to service industry as below. I shall apply behavioral economic theory to (AI) technology to indiate how it can enourage consumption when it is applied to service industry. At the core of behavioral economics is used psychology of economics analysis to improve economics on its own terms generating theoretical insights, making better prediction of field consumption of behavioral phenomena, and suggesting better policy to any company or government decision makers. It rejects economic theories based on utility maximization, equilibrium and efficiency. It is useful because it provides economists with a theoretical framework that can be applied to almost any form of economic ( and even non-economic) behavior to predict behavioral consumption more easily to businessmen. So, behavioral economy is different to general economy concept, it applies psychological methods to attempt to predict consumption behavior.Simpifying much assumption that are not central to the economic theory to apply to psychological behavior. Other assumption simply acknowledge human limits on computational power and self-interest. These assumptions can be considered procedurally rational because human needs to solve problems that are often so complex that who can't be solved exactly by even modern computer technology. So, if businessmen apply psychological method to predict behavioral consumption to earn the more benefits or profit, it is more reasonable to compare to apply computer methods to predict consumption behavior.Theories in behavioral economics should be judged by reality, generality and tractability concepts to apply why we ( consumers) do our behavior ( consumption of choices) from psychological analysis. We share the positivist view that the ultimate test of a theory is the accuracy of its predictions. But we also believe that better predictions are likely to result from theories with more realistic assumptions. In psychology, such as connectionist models that capture some of the essential features of neural functioning, which are based on utility maximization, yet are reaching the point where they are able to predict many judgemental and behavioral phenomena. Contrary to the positivistic view, however, businessmen ought believe that predictions of consumers' feelings ( e.g., of subjective well-being) should be an important goal to earn more profit more easily.Most of the ideas in behavioral economics are not new. When economics first became identified as a distinct field of study, psychology didn't exist as a discipline to apply to economy subject. For example, "invisible hand" and "the wealth of Nations" which belong to theory to moral sentiments, which laid out psychological principles of individual behavior that are arguably as profound as whose economic observations. Another example, such as a simple model of social utility means that one ( consumer) or person's utility was affected by another person's, such as whose family or friends' influence why to choose to buy this product or use this service in consumption market.