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 Artificial Intelligence How Raises Productive Efficiency written by Johnny Ch Lok and published by Independently Published. This book was released on 2020-11-06 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: ⦁Can (AI) technology replace human labour nature of work to raise better productivity and efficiency? On technological innovation reason view point, the history development of artificial intelligence studying the intelligence is one of most ancient scientific discipline. The history development of artificial intelligence what aims to achieve human use to sense, learn remember and think, logic probability, decision making and calculation develop from mathematics, instead of replacement human labor functions.Artificial intelligence history development aim is the scientific analysis of skills in connection and practice with the appearance of computers from 1950 year beginning. The artificial intelligence (AI) can deal with the ultimate challenges. How can ( either biological or electronic) mind sense, understand and manipulate a world that is much simple and more complex than itself? And what if would human like to construct something with such capabilities? The general-purpose software of the early period of (AI) were only able to solve simple tasks effectively and failed when which should be used in a wider range or an more difficult tasks. One of the sources of difficulty was that early software had very few or mix knowledge about the problems which handled, and activities successes by simply syntactic manipulation. Moreover, the other difficulty was that many problems that were tried to solve by the (AI) were untreatable. The early (AI) software whether trying step sequences based on the basic facts about the problem that should be solved, experimented with different combinations till which found a solution. From the end the 1960 year, developing the so-called expert systems were emphasized. These systems had ( sue-based) knowledge base about the field which handled. Till to the beginning of the 1970 year, ( Prolog) the logical programming language was born, which was built in the computation realization of a version of the resolution calculus. ( Prolog) is a remarkably prevalent tool in developing expert systems ( on medical, judiciary and other scopes), but natural language parsers were implemented in this language. Then, in 1981 s, the Japanese announced the fifth generation computer system project, a 10 years plan to build an intelligent computer system that use the ( Prolog) language as a machine code. Nowadays, (AI) can be applied any industries, such as car manufacturing industry can use (AI) technological machine-men manufacture car, instead of replacing human labors in factory. Even, in the future, using (AI) machine-men drivers can drive any private cars or public transportation tools, instead of replacing human drivers, e.g. bus, train, tram, ferry etc. Also in the future, machine-men can replace housewives to serve families to do housekeeping clean job, e.g. cleaning toilets, bathrooms, kitchens, even cooking functions at home. So (AI) machine-man can reduce housewives works at home. Moreover, (AI) machine man can take care old people, when who are living at homes or elder care centers. So, it seems artificial intelligence (AI) will be possible developed to manufacture a new generation machine-man to assist ( serve) families to do any simply cleaning or cooking jobs at homes. Moreover, the overall demand of ( AI) general social needs will also rise, such as security, driving transportation tools, restaurant cleaning, elder centers care service etc. (AI) will have chance often to practise to do its tasks every day. It is possible that it can improve worker individual simple job duty to raise productivity and efficiency to be fast.

Download or read book Artificial Intelligence How Raises Manufacturing Productivities written by Johnny Ch LOK and published by . This book was released on 2020-01-07 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: ⦁Can (AI) technology replace human labour nature of work to raise better productivity and efficiency? On technological innovation reason view point, the history development of artificial intelligence studying the intelligence is one of most ancient scientific discipline. The history development of artificial intelligence what aims to achieve human use to sense, learn remember and think, logic probability, decision making and calculation develop from mathematics, instead of replacement human labor functions.Artificial intelligence history development aim is the scientific analysis of skills in connection and practice with the appearance of computers from 1950 year beginning. The artificial intelligence (AI) can deal with the ultimate challenges. How can ( either biological or electronic) mind sense, understand and manipulate a world that is much simple and more complex than itself? And what if would human like to construct something with such capabilities? The general-purpose software of the early period of (AI) were only able to solve simple tasks effectively and failed when which should be used in a wider range or an more difficult tasks. One of the sources of difficulty was that early software had very few or mix knowledge about the problems which handled, and activities successes by simply syntactic manipulation. Moreover, the other difficulty was that many problems that were tried to solve by the (AI) were untreatable. The early (AI) software whether trying step sequences based on the basic facts about the problem that should be solved, experimented with different combinations till which found a solution. From the end the 1960 year, developing the so-called expert systems were emphasized. These systems had ( sue-based) knowledge base about the field which handled. Till to the beginning of the 1970 year, ( Prolog) the logical programming language was born, which was built in the computation realization of a version of the resolution calculus. ( Prolog) is a remarkably prevalent tool in developing expert systems ( on medical, judiciary and other scopes), but natural language parsers were implemented in this language. Then, in 1981 s, the Japanese announced the fifth generation computer system project, a 10 years plan to build an intelligent computer system that use the ( Prolog) language as a machine code. Nowadays, (AI) can be applied any industries, such as car manufacturing industry can use (AI) technological machine-men manufacture car, instead of replacing human labors in factory. Even, in the future, using (AI) machine-men drivers can drive any private cars or public transportation tools, instead of replacing human drivers, e.g. bus, train, tram, ferry etc. Also in the future, machine-men can replace housewives to serve families to do housekeeping clean job , e.g. cleaning toilets, bathrooms, kitchens, even cooking functions at home. So (AI) machine-man can reduce housewives works at home. Moreover, (AI) machine man can take care old people , when who are living at homes or elder care centers. So, it seems artificial intelligence (AI) will be possible developed to manufacture a new generation machine-man to assist ( serve) families to do any simply cleaning or cooking jobs at homes. Moreover, the overall demand of ( AI) general social needs will also rise, such as security, driving transportation tools, restaurant cleaning, elder centers care service etc. (AI) will have chance often to practise to do its tasks every day. It is possible that it can improve worker individual simple job duty to raise productivity and efficiency to be fast.⦁Why can artificial intelligence satisfy human needs?First, On machine-man satisfactory demand aspect view point, it makes computers that think, it is the automation of activities. We associate with human thinking: like decision making, learning.

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 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 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 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 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 Artificial Intelligence Raises Efficiency and Productivity written by Johnny Ch LOK and published by Independently Published. This book was released on 2019-04-14 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: The challenges of (AI) big data gather shapingthe future of retail for consumer industriesAnother challenge of (AI) big data gather is that how to shape the consumer behavior to let business owner to feel or know oe predict. It means that how it express it's conclusion or opinion for every consumer behavior after it had gather all big data in any data gather period, e.g. three months, half year or one year consumer shopping model data gather period.Because every kind of industry, consumers will continue to demand price and quality change , with a wide range of convenient fulfilment options among of different kinds of products or services supply. Overall, the (AI) big data gather procedure gives opinion concerns every time retail experience will become more exciting, simple and convenient, depending on the consumer's ever-changing needs. So, I believe that (AI) big data gather every conclusion or result will be different, due to consumer's price and quality demand will often change to every kind of product or service supply in retail industry. So, how to shape (AI) big data gathering's analytical conclusion or result more clear. I shall recommend organizations need to build great understanding of and a stronger connection to increasingly empowered consumers before they plan and implement how to apply (AI) big data gather tool to predict consumer behavior as below:Firstly, (AI) is empowered by technology, the consumer is redefining value. The traditional measures of cost, choice and convenience are still relevant, but not control and experience are also important. Globally, consumers have access to more than 2 billion different products choice by a wide range of traditional competitors and dynamic new entrants, all experimenting with new business models and methods of client engagement. As choice increases, loyalty becomes more difficult familiarity and the consumer becomes more empowered. Businesses will have no choice and constantly innovate and disrupt themselves by meeting new technologies of high standards and expectations of consumers. So, (AI) data gather tool will need to follow different target group of consumers' needs to follow their different kinds of product design or style choice preferable to gather data in order to conclude the different target groups of consumer behavior to give opinion more clear and accurate to let businessmen to understand more clear how its customers' behavioral choice trend in the future half month, even to two years period.Secondly, businessmen need to adopt changing technologies rapidly. Technology will be the key driver of this retail industry. Industry participants will only success if they have a clear prediction to focus on how to using technology to increase the value added to consumers. They must , however, do so will I realistic assessment of their costs and benefits. Hence, (AI) big data gather technological tools will need to design to help them to gather data efficiently by these ways, such as the internet of things ( IOT), artificial intelligence (AI) machine learning, augmented reality (AR)/virtual reality (VR), digital traceability. So, future (AI) big data gather tool are predicted to be most influential customer behavioral positive emotion changing tool for retail , due to their widespread applications , ability to drive efficiencies and impact on labor in order to impact consumer behavior changing effort from negative emotion to positive.Thirdly, (AI) big data gather tool is an advanced data science of consumer behavior predictive tool. Businesses will have to bring the journey from simply collecting consumer data to using it to scale and systematize enhanced decision making across the entire value chain. When focused on their business goals, industry players should not lose sight of the impact that future capabilities and transformative business models may have on society.

Download or read book Can Artificial Intelligence Improve Productivities And Efficiences written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-06-02 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 Can Artificial Intelligence Raise Productivities and Efficiences written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-03-15 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: For publishing industry, what is striking about the case in paper book publishing industry will be unpopular? Due to the electronic book publishing industry will be popular, e.g. Amazon publish . (AI) technology can influence paper book manufacturing method which is replaced by machine man electronic book manufacturing method as well as it will cause the computerization is no longer confined to routine manufacturing tasks. Due to (AI) machine man manufacturing technology will be proper to be used to manufacture any products in short time efficiently and effectively, e.g. electronic book products. In the future, if it is fact to occur this case, such as ( AI) technological machine man manufacturing method will be adopted ( applied) to manufacture electronic books or any products in possible. (AI) technology will cause many manufacturing workers are unemployed. It is beneficial to employers, who can reduce to spend much wages expenditure to employ manufacturing workers, but it will cause many manufacturing workers loss jobs and reduce income to support whose families lives. It will cause social challenges, e.g. increasing stealing crimes if the manufacturing workers had not other skills to find other jobs to do easily. So, manufacturers need to concern over technological unemployment which will be hardly future phenomenon if who decided to dismiss all manufacturing workers, due to (AI) technology machine men replace to them.If ( AI) technology can be innovated to produce any kinds of machine man to serve any service or manufacturing industries successfully. Then, it will bring these questions: Can future that workers be influenced to be automation employment and productivity by (AI) technology influence? Does it impact to influence the (AI) technology countries' productivity and growth and natural resources development and labor markets and evolution of global financial markets and economic impact of technology and innovation and urbanization etc. issues? How will automation transform the workplace? What will be the implication for employment? What is likely to be its impact both on productivity in the global economy and on employment?In fact, automatic of activities can enable businesses to improve performance by reducing errors chance and improving quality and speed, and same cases achieving outcomes that go beyond human capabilities. Some economists indicate (AI) technology would give a needed boost to economic growth and prosperity have of the working age population in many countries. Based on the scenario modeling, they estimate automation could raise productivity growth globally by 0.8 to 1.4 % annually. They also indicated that almost half the activities people are almost $1.6 trillion in wages to do in the global economy have the potential to be automated adapting current demonstrates technology, according to their analysis of more than 2,000 work activities across 800 occupations. When less than 5% of all occupations can be automated entirely using demonstrated technology, about 60% of all occupations have at least 30% of worker made activities, that would be automated. More occupation will change to be automated. They also indicated for business performance benefits of automation are relatively clear, but the issues are more complicated by policy making to attract foreign investors. Beyond technical feasibility, the cost of technology, competition labor will include skills and supply and demand dynamics, performance benefits and beyond labor cost savings and social and regulatory acceptance will affect the automation. Their predictions suggest that half of today work activities could be automated by 2055 year, but this could happen 10 to 20 years earlier or latter depending on the various factors in addition to their wider economic condition.

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 Roboitc Demand on Service Or Manufacturing Industries Future Needs Research written by Johnny Ch Lok and published by . This book was released on 2020-01-30 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: ⦁Why will (AI) technology influence future service and manufacturing workers needs ? Nowadays, increases in capital and labor are no longer driving the levels of economic growth, such as (AI) technology. The ability of increase in capital investment and in labor of traditional drivers of production, have no longer to be enjoyed in most developed economies, e.g. developed country, US, UK . However, artificial intelligence has the potential to overcome the physical limitation of capital and labor to avoid missing out on this opportunity. So, policy makers and business leaders must prepare for and work toward a future with artificial intelligence. They must do with the idea that (AI) is another simply method to enhance productivity method . Rather they must see (AI) as the tool that can transform thinking about how growth is created. Economists have always thought of new technologies are as driving growth their ability to enhancing. It can replace labor and capital factor of production. So, it brings this question: What is the factor of production (AI) technology characteristics. They key factor is to see (AI) technology as a capital-labor . (AI) can replicate labor activities at much greater scale and speed, and to even perform some tasks began the capabilities of human. For example, by using virtual assistants, 1000 legal documents can be reviewed in a matter of days instead of taking three people six moths to complete. Some (AI) technology may be one kind of factor of production in the future. For another example, people will work in workplace digitalization environment. So, in the future, working environment and information management are automated. Such as Konica camera sale company will use workplace digitalization. So, (AI) technology can provide workplace digitalization in order to raise productivity efficiency. (AI) technology will be one kind of production which is replaced by workplace digitalization and it will grow any organization productivity efficiently. Then, (AI) technology will assist overall social economy growth, due to productivity is raised and products can be produced in short time to prepare to sell in consumption market. So, time will be shortened to increase GDP growth fast for the development of (AI) technology countries.What will be the development of (AI) technology and predictions concerning the future evolution? The computers and robots will develop conscious, intelligent and minds into humans, enhancing psychological and behavioral abilities and allowing for direct communication with (AI) minds. (AI) technology will be impacted human life by (AI) technology information communicative and environmental influence. A " world brain" and " world mind", this psychological system will be enhanced and enriched the capacities of both individual and collective cognition by (AI) technology of service industries.

Download or read book Artificial Intelligence Raises Sevice Industry Employee Performance written by Johnny Ch Lok and published by . This book was released on 2020-02-13 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, global financial crisis cause a slowdown in world trade growth. The recent great recession has important impacts on international trade. The international trade has changed from three factors: The evolution of global imbalances, trends in globalization and the structure of trade negotiations.For example, new technologies in manufacturing, connectivity and energy efficiency in particular, have the potential to transform the global economic risk. From macroeconomic perspective these new technologies increase potential growth, allowing the economy to grow faster and it may also put downward pressure on energy price. The US seems as a likely beneficiary, where its competitive advantage in the production and deployment of information technology is widely recognized. Otherwise, some countries' development could be threatened by the substitution of cheaper and more efficient capital for ( labor and by the shortening of global supply chains).I believe new technologies have the potential to solve global macro economic development challenges from micro economic ( every country technological firms cooperation development) method. The reason as below: (1)Recent advances in information and communications technology new innovations in methods of manufacturing and fresh ways of exploiting energy could bring significant growth benefits for the world global economic technological development from different countries themselves technological firms research new ( undiscovered) technological products development to influence future human life, water energy, solar energy, nuclear energy, vehicle battery energy new energy development technology. It aims to avoid global energy shortage challenge occurrence and new artificial intelligent cities development, it aims to let human feel to live in high technological development, artificial intelligent cities can let human to live more comfortable and more convenient in global cities from artificial intelligent assistance.For another example, some of the new technologies allow companies earn higher quality of physical capital at lower prices. Enhanced energy storage, shale gas and oil techniques, and innovations in renewable energy are helping to drive down the price of energy relative to the trend that would have unfolded in their absence. In all cases, new energy development, these technologies have the potential to raise productivity growth sectors and countries, allowing faster, new energy supply growth and lower inflation, when human have different kind of energy to choose to use. For another example, mobile communications technology can make the world economy more efficient and may also lead to significant dislocation. Mobile communications technology has the potential to bring 2 to 3 billion people into the world economy development. Additive manufacturing as 3 D printing, could remove up to 90% of the waste from some manufacturing processes. At the same time, advanced robots which can work as little as USD$4 per hour, may eventually display existing employment in manufacturing. So, on micro economic view point, technology will be one kind production of factor to global future manufacturing firms. Mckinsey Global Institute finds that our trend global growth could be 0.5 to 0.7 percentage points higher in 2025s than in the absence of technological change, it implies productivity gains comparable to apply only personal computer and internet revolutions of the 1990s.(2)What is future these new technology? A new technology ought change the way the world economy operates in micro economic view point.

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 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.