Artificial Intelligence Raises Efficiencies PDF Download

Author: Johnny Ch Lok
Publisher: Independently Published
ISBN: 9781793285843
Category :
Languages : en
Pages : 102

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Book Description
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.

Author: Johnny Ch Lok
Publisher:
ISBN: 9781080882748
Category :
Languages : en
Pages : 102

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Book Description
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.

Author: Johnny Ch Lok
Publisher: Independently Published
ISBN: 9781792817717
Category :
Languages : en
Pages : 102

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Book Description
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.

Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172

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Book Description
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.

Author: Johnny Ch LOK
Publisher:
ISBN: 9781792912092
Category :
Languages : en
Pages : 101

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Book Description
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.

Author: Johnny Ch Lok
Publisher:
ISBN:
Category :
Languages : en
Pages : 66

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Book Description
Can ARTIFICIAL INTELLIGENCE intentions Disney visitor behavior be predicted by survey research ?How can be survey research measured that is applicable to intentions, attitude or satisfaction data to predict consumer behavior? Whether surveyed consumers will be predicted how consumers behavior are more easier than non surveyed consumers. Most academic studies of satisfaction use consumers' intention to repurchase as the criterion variable ( for an exception, see Bolton 1998), and most companies rely on consumers' purchase intentions to forecast their adoption of new products or the repeat purchase of existing ones ( Jamieson and Bass 1989).In practice, some consumer psychologists' studies adjust the intention scores by analyzing that actual purchase behavior of consumers whose purchase intentions have been measured previously. For example, the popular ACNIELSEN BASES model forecasts aggregate purchase rates by applying conversion rates to measured purchase intentions ( e.g. it seems that 75% of consumers who checked the top purchase-intentions box will actually purchase the product). To obtain these conversion rates, BASES uses previous studies that measured the purchase intentions of consumers and then tracked their actual purchases. However, investigating whether survey research is useful to measure consumer behavior. It has a weak point, a limitation of these studies is that companies ( businessmen) focus on the internal rather than the external accuracy of purchase-intention measures. That is, the company studies measure the improvement in the ability to forecast the behavior of consumers whose intentions who previously measured for survey research experiments, not the behavior of consumers whose intentions who did not measure. Therefore, the studies assume that the companies can predict the intention-behavior relationship of non-surveyed consumers on the basis of the relationship that surveyed consumer exhibit.It would suggest that studies measure the strength of the association between intentions and behavior on the same sample of consumers overstate that external predictive accuracy of purchase intentions by survey method. This would explain why so many new products fail even after which are performed well in purchase-intention tests by survey method. I shall suggest survey framework distinguished between two sources of measurement reactivity. The first is self-generated validity effects, it is as a strengthened relationship between latent intentions and behavior, due to the measurement of intentions from post-survey research. The second source includes all measurement effects that are independent of latent intentions, such as those that social norms or post-survey intention modifications create.

Author: Johnny Ch LOK
Publisher: Independently Published
ISBN: 9781093917796
Category :
Languages : en
Pages : 399

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Book Description
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.

Author: Johnny Ch LOK
Publisher:
ISBN: 9781791653873
Category :
Languages : en
Pages : 295

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Book Description
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.

Author: Johnny Ch Lok
Publisher: Independently Published
ISBN: 9781792128806
Category :
Languages : en
Pages : 296

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Book Description
Why will (AI) technologic knowledgeable robotic workers be raised productivity ?Future, (AI) robotic workers can assist knowledge labors to raise productivity from internet channel. Social science can explain knowledgeable jobs will be useful and popular and assisting labors to raise productivity to work at home online working environments. Within social science, in such discipline is sociology and human psychology and geography which indicates internet technology have changed to online working place environment, sense of working place, online employee role identity, everyday online work and life style, website global working communication and email online communication working interconnections. It seems internet brings access to social, economic and political resources to effect change to both individual and social working conditions, such as employers accept to attempt to use internet to assist office staffs to work at home, e.g. many book publishing businesses like to attempt to publish electronic books from online book store, instead of book shops channel to sell paper books. So these online book stores give chance to authors to publish electronic books or online paper books from online sale channel to earn loyalty income. For example, Amazon online electronic bookstore can publish electronic books and online paper books to sell all one day 24 hours to any countries' readers from its website, so when any countries' readers can enter its website to choose any different kind of subjects of electronic books to buy by visa card conveniently. Such as fiction, psychology, economy, science, law, architecture, medicine, commerce, management etc. subjects. So, any country's reader who does not need to buy air tickets to go to the country's book shop to buy the paper book, who only needs to pay visa card to buy the electronic or online paper books from Amazon publishing's website to buy any countries' electronic and paper books and then the overseas reader can choose either to download it from whose home computer or pays more price to deliver the online paper book to post to whose country conveniently. Hence, this online bookstore sale method will be popular and many free work authors will choose to work to raise the productivity of more quality electronic books numbers from this internet channel. However, the consequences of global change are far from uniform with globalizing influences and adapted as new technological, economic and online working cultural experiences are incorporated by any countries' staffs of any cities, towns and rural areas into their everyday work lives from long distance easily. Since one company can employ different countries' staffs to work from internet working channel at their homes. For example, a America company can employ overseas countries' staffs to work at the same time together by sending job duties from email communication channel among them when the America company has any job arrangement to notify to any staff to finish it any time, then the overseas staff finish the job and who can send whose finished documents to whose America employer any time. It seems the overseas staffs whose working hours can be flexible and those working hours have no regular office working hours to be fixed time table, so they do not need to work in any fixed working time table every working days, who can send their finished office documents to whose employers after who have finished their documents by either email communication channel or office online website downloads office download any time conveniently.

Author: Johnny Ch Lok
Publisher:
ISBN:
Category :
Languages : en
Pages : 30

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Book Description
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.