Download or read book How Artificial Intelligence Raises Efficiencies And Improves Performance written by Johnny Ch Lok and published by . This book was released on 2020-04-07 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book How Artificial Intelligence Raises Efficiency and Performance written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-11-25 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part Two(AI) technology can raise employee service performance Chapter OneWhat is the relationship between (AI) robotic service behavior and improving service performance behaviorHow and why (AI) technology can be applied to service 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. Nowadays, economists hoped their discipline could be like a natural science to apply psychological methods to predict behavioral consumption to assist businessmen to earn more economic benefit or to reduce cost or profit to win whose competitors. But psychology was not very scientific. However, later economists are very much appealed to psychological insights to attempt to assist businessmen how to predict consumers how who will prefer to choose to consume to buy this product or use this service.

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 Productivity Growth and Service Performance written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-12-13 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, 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? 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.

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 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 The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2019-05-22 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in artificial intelligence (AI) highlight the potential of this technology to affect productivity, growth, inequality, market power, innovation, and employment. This volume seeks to set the agenda for economic research on the impact of AI. It covers four broad themes: AI as a general purpose technology; the relationships between AI, growth, jobs, and inequality; regulatory responses to changes brought on by AI; and the effects of AI on the way economic research is conducted. It explores the economic influence of machine learning, the branch of computational statistics that has driven much of the recent excitement around AI, as well as the economic impact of robotics and automation and the potential economic consequences of a still-hypothetical artificial general intelligence. The volume provides frameworks for understanding the economic impact of AI and identifies a number of open research questions. Contributors: Daron Acemoglu, Massachusetts Institute of Technology Philippe Aghion, Collège de France Ajay Agrawal, University of Toronto Susan Athey, Stanford University James Bessen, Boston University School of Law Erik Brynjolfsson, MIT Sloan School of Management Colin F. Camerer, California Institute of Technology Judith Chevalier, Yale School of Management Iain M. Cockburn, Boston University Tyler Cowen, George Mason University Jason Furman, Harvard Kennedy School Patrick Francois, University of British Columbia Alberto Galasso, University of Toronto Joshua Gans, University of Toronto Avi Goldfarb, University of Toronto Austan Goolsbee, University of Chicago Booth School of Business Rebecca Henderson, Harvard Business School Ginger Zhe Jin, University of Maryland Benjamin F. Jones, Northwestern University Charles I. Jones, Stanford University Daniel Kahneman, Princeton University Anton Korinek, Johns Hopkins University Mara Lederman, University of Toronto Hong Luo, Harvard Business School John McHale, National University of Ireland Paul R. Milgrom, Stanford University Matthew Mitchell, University of Toronto Alexander Oettl, Georgia Institute of Technology Andrea Prat, Columbia Business School Manav Raj, New York University Pascual Restrepo, Boston University Daniel Rock, MIT Sloan School of Management Jeffrey D. Sachs, Columbia University Robert Seamans, New York University Scott Stern, MIT Sloan School of Management Betsey Stevenson, University of Michigan Joseph E. Stiglitz. Columbia University Chad Syverson, University of Chicago Booth School of Business Matt Taddy, University of Chicago Booth School of Business Steven Tadelis, University of California, Berkeley Manuel Trajtenberg, Tel Aviv University Daniel Trefler, University of Toronto Catherine Tucker, MIT Sloan School of Management Hal Varian, University of California, Berkeley

Download or read book How Robots Improve Organizational Performance written by John Lok and published by Notion Press. This book was released on 2022-10-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book divides two part: Artificial intelligence raises productive efficiency and service performance. 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.

Download or read book Why Artificial Intelligence Raises Efficiencies To Avoid Wage Inequality written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-01-27 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: The standard economic model of consumer behavioral (AI) robotic service tool advantages includes: A logically consistent theory of consumer behavior can be built, that theory can be used to make predictions about consumer behavior and those predictions can be compared with reality and those models often correspond to actual behavior of consumption reasons. What is the inconvenient truth? It includes clear evidence from psychology has shown that the rationality assumptions of standard economic model are wrong. Evidence from psychology has shown that consumers often are irrational and also who are predictably irrational. So these are wrong view point to influence how economists judge what cause consumption of behavior. Thus, it beings this question? What is mean of predictably irrational? It means that of irrational consumers were irrational in random ways, who would cancel each other out, leaving the overall outcomes determined by the behavioral consumption of rational consumers. As that case, behavioral economic theories that ignored irrational behavioral consumption would work just fine. But, psychology has shown that consumers are irrational in similar and predictable ways. Therefore, irrationality doesn't cancel out and can't be ignored to judge why the behavioral consumption has been caused.2.1How to apply (AI) robotic service techology to raise or improve service performance?What is psychology of consumption behavior?Psychology is the science of human behavior and mental consumption processes. In consumption process behavior, it is any consumption behaviors as well as consumer mental consumption process is consumer individual internal experiences, comparison with alternative products, products choice of the best, making decision to consume or not consume for the product. So, advertisers often persuade to influence consumers' behavior to attract them to choose to buy whose products.Why businessmen need to learn consumer psychology? Because psychology can help businessmen scientifically to evaluate common consumer beliefs and misconceptions about consumption behavior and consumption decision making mental processes. Consumption scientific psychology has four basic goals: To describe, explain, predict and change consumption behavior and consumption decision making mental process. Consumption psychological information is based on evidence, this is information based on direct observation and measurements with consumption behavior with scientific method. How are typical images of psychology? Consumption psychologists need to use scientific method to help businessmen to think what predicts who own, make a list of words would who use to describe a psychological scientist and what use to describe a psychological scientist and what images the businessmen have. However, consumption psychologists have difference ways of looking at the same problem for the businessmen, which is why there are so many sub-fields of consumption psychology. Consumption psychology's roots began in philosophy, but the focus changes to a scientific focus consumer.Behaviorism is focused on consumer buying behavior that can be measured and observable. This returned the scientific approach to consumption psychology. Consumption behaviorist's believe consumers are controlled by their environment. Consumption behaviorism focuses on consumption observable behavior. However, consumption cognitive psychology believes that consumption behaviors are preformed because of the product ideas and thoughts. The cognitive perspective focuses on such consumer decision making and choice processes, such as perception, memory and thinking to the product.

Download or read book Technology How Influences Organization Performance Improvement written by Johnny Ch Lok and published by . This book was released on 2021-02-12 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Five ways to use AI to improve business efficiency to these office tasksRegardless of a company's size or type, its executives typically look for ways to help it operate as efficiently as possible. They understand the link between efficiency and profitability. If employees waste too much time with drawn-out processes or complicated tasks, it'll be hard for the enterprise to remain profitable and adapt to challenges. Fortunately, artificial intelligence (AI) supports the need for effective business operations. Here are five ways enterprises can use AI for help: 5 ways to use AI to improve business efficiency image.Getting the best results from AI means looking at where bottlenecks exist, then figuring out if and how it might remove or minimise them. AI can help any offices to improve or raise efficiency to these tasks aspects as below:1. Use AI to answer queries and support customer engagementChatbots are an increasingly popular option for businesses to try, and they use AI to work. Companies often build chatbots that can answer any questions from customers that come through outside of business hours. Some identify the nature of a person's problem, then either attempt to tackle it with preprogrammed answers or pass the communications to a human support worker. The retail industry, in particular, saw success by deploying chatbots. Global data collected by Juniper Research shows an estimated 2.6 billion retail-based chatbot interactions in 2019, and the company forecasts the number to rise to 22 billion in 2023.Chatbots are excellent for answering simple questions like "How late are you open today?" or "Do you have gluten-free menu options?" Getting quick answers to queries like those increases the chances customers will choose to do business with one company over another. Equally importantly, when chatbots can give responses in a matter of seconds, there's no need for humans to stop what they're doing and address the questions.2. To enhance reporting speed and accuracyCompany reports reveal things such as which products are selling the fastest and where they're most popular. They can also confirm the impacts of marketing campaigns on product sales, break down the costs of a new packaging choice or shipping method, and much more. However, as anyone that files reports knows, creating them is a painstaking task, and trying to rush through the process could cause mistakes. Some forward-thinking companies are combining AI with big data analytics. Doing this brings better forecasts and takes some of the burdens off the people who prepare the reports. AI also helps conquer the inevitability of mistakes. Even the most careful people make blunders, often because of mental fatigue.AI learns to spot patterns in data and gets smarter with time. This means reports get finished faster and contain more-reliable information. The reliability aspect is crucial, especially since recently published research indicated two-thirds of the senior executives polled had no confidence or trust in big data. Using AI does not mean companies can do without data scientists. However, depending on the technology allows them to reduce the uncertainty that may otherwise exist. It also prevents employees who work with a company's data from being asked to recheck the findings, even if they initially took appropriate precautions to ensure accuracy.3. To improve data transfer speedsFast data transfers help AI technology work. Concerning some information-intensive applications like virtual reality (VR), any slow transmissions greatly interfere with the realism, and content immersion people should enjoy after strapping on a VR headset. As it turns out, AI can improve data transfer speeds, too.

Download or read book Why Artificial Intelligence Raises Efficiency written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-12-22 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Artificial Intelligence Raises Efficiencies and Brings written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-12-29 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the future, (AI) robotic will be one emotion machine tool to help employers to solve customer emotion challenge to change their negative emotion to positive emotion more easily. So, in service industy wage determination can be measured more reasonable or fair or equality when the robotic can participate to every service with the service staff. For example, in one restaurant, one waitor and another waitor are needing to deliver the right food and write the food choice for every eatting customer. Every the roboic will help either him or her to deliver whose writing food record to the cooker to prepare to cook. So, the two waitor can concentrate on writing food record for every new eatting customer in the restaurant. Also they can indicate the robotic deliver the right food to the right eatting customer in every table. So, if the waitor has more complain concern his or her service performance every day. Then, the restaurant manager can evaluate whether who has better service performance when robotic can participate to share their workload. Of course, the less complain number to the watitor who ought pay higher wage to compare the more complain number waitor, so it seems that robotic job participation with the restaurant waitor's job which can measure the more reason or equal or fair wage determination. So, it explains why robotic job participation can assist any service industry to determinate who ought receive higher salary or who ought receive less salary.The standard economic model of consumer behavioral (AI) robotic service tool advantages includes: A logically consistent theory of consumer behavior can be built, that theory can be used to make predictions about consumer behavior and those predictions can be compared with reality and those models often correspond to actual behavior of consumption reasons. What is the inconvenient truth? It includes clear evidence from psychology has shown that the rationality assumptions of standard economic model are wrong. Evidence from psychology has shown that consumers often are irrational and also who are predictably irrational. So these are wrong view point to influence how economists judge what cause consumption of behavior. Thus, it beings this question? What is mean of predictably irrational? It means that of irrational consumers were irrational in random ways, who would cancel each other out, leaving the overall outcomes determined by the behavioral consumption of rational consumers. As that case, behavioral economic theories that ignored irrational behavioral consumption would work just fine. But, psychology has shown that consumers are irrational in similar and predictable ways. Therefore, irrationality doesn't cancel out and can't be ignored to judge why the behavioral consumption has been caused.

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 Artificial Intelligence Raises Efficiency and Productivity written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-03-09 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: (AI) digital data gather technology predicts food consumer behavior's main barriersWhat are the main barriers to food industry? When the food manufacturer applies (AI) big data gather technology to predict food consumer behavior? The barriers include that the food manufacturer / provider needs to decide whether when the right time is applied to the right (AI) digital big data prediction tool channel to find the right food consumers to be chose to full food consumption satisfactory questionnaires, how to gather multi-class food consumption classifiers on real-world food consumers transactional data from the food sale domain consistently to show the critical numbers of different kinds of food items at which the predictive performance most accurate? So, any food manufacturer / provider's advanced in (AI) digital data gather warehousing and management technologies can provide that opportunities for food business to enhance long term relationship with the food providers' clients. However, food industry's (AI) digital data gather aims to improve food customer product targeting, increase food customer loyalty and food purchase probability to the food supplier. To effective identify, understand and satisfy the needs of their food customers, the food suppliers need to develop the right (AI) digital questionnaire questions and find the right food customers to fill every right questions from every digital questionnaire at the right time through the right channel. Above of all these, they will be the barriers when one food supplier expects its (AI) digital data gather questionnaires which can conclude the most accurate prediction concerns any kinds of consumer food product choices. So, such as (AI) digital data prediction model, it is needed to incorporate into the food market segmentation, food customer targeting, and food challenging decisions with the goal of maximizing the total food customer lifetime. For example, (AI) big data gather transaction data is reasonable and accurate for building predictive models. Transaction data can be electronically collected and readily made available for data mining in lot quantity at minimum extra costs.Suggestion to apply (AI) prototypes of food customer profiles method to predict food customer behavioral changes. Prototypes of food customer profiles mean to be extracted from the discovered bins and multi-class classifies models are built using those prototypes. The learned models can than be used to predict the class of food customer profiles ( e.g. restaurants, school canteens, supermarkets etc. food suppliers) based on their food purchases. The approach is validated on the case study of a food retail and food service company operating in food and beverages market.

Download or read book How Artificial Intelligence Raises Efficiency And written by Johnny Ch Lok and published by . This book was released on 2019-06-02 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applying (AI) robotic workers to raise Walt Disney entertainment theme park service performance3.1Disney (A) robotic service workersHow and why can apply (AI) robotic service workers to serve Disney visitors to let them to feel Disney can provide more warm service performance when they are visiting to Disney entertainment theme park . I shall indicate how to apply (AI) robotic customer service workers to assist enterprises to predict what are clients' preferable choices to increase more attractive effort to win competitors. Enterprises include Walt Disney entertainment theme park how it applied knowledge management psychological method to attract more visitors; Universities why need to consider campus building location and course teaching methods to attract students' choices; airlines why need to consider how flight gas or oil price influences to passengers' choices; underground train enterprises why need to consider route location influences to passengers' transportation choices; Finally, environment protection product firms why need to consider what environment pollution benefits to society to influence businessmen decide to buy environment protection products of choices.

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Download or read book Artificial Intelligence How Raises Productivities And Efficiences written by Johnny Ch Lok and published by . This book was released on 2019-10-06 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: (AI) researchers are native in a variety of domains, e.g. formal tasks ( mathematics, games), tasks ( perception, robotics, natural language, common sense reasoning), expert tasks ( financial analysis, medical diagnostics, engineering, scientific analysis and other areas). From the second business perspective reason view point, (AI) is a set of many powerful tools, and methodologies for using those tools to solve business problems. From a programming perspective reason view point, (AI) includes the study of symbolic programming problem solving and search . From the third human technological perspective reason view point, today's computer can do many well-defined tasks, for example, arithmetic operations, are much faster and more accurate than human beings. However, the computers' interaction with their environment is not very sophisticated yet. How can human test whether a computer has reached the general intelligence level of a human being? Can a computer convince a human interrogator that it is a human? But before thinking of such advanced kinds of machines, human will start developing our own extremely simple " intelligent" machines. So, it is possible that human society job efficiency and performance and productivity will to be changed better, due to artificial intelligent robots are applied to assist human to do anything when (AI) technology is developed to the mature stage in the future.⦁Why does human need artificial intelligence machines?One of major division in (AI) is between humans who think (AI) is the only serious way of finding out how we ( human) work and human who want companies to do very smart things, independently of how we ( human) work. This is the important distinction between cognitive scientists vs engineers. One of another major division in (AI) is between symbolic (AI), which represents information through symbols and their relationships. Specific Algorithms are used to process these symbols to solve problems or deduce new knowledge and connectionist. So ( AI), which represents information in network. Biological processes underlying learning, task performance and problem solving are imitated from human mind behaviors. Thus, it is possible that artificial intelligence machines can do the better human task behavior to achieve productivity and efficiency raising.⦁How does artificial intelligence influence future working changing in automation employment and productivity aspects?(AI) influences the automation working changing aspect, as companies increasingly use robots on production lines or algorithms to optimize their logistics manage inventory, any carry out other core business functions. Technological advances are creating a new automation age in which ever-smarter and more flexible machines will be deployed on an ever larger scale in the marketplace. However, researching artificial intelligence with how influences human working nature. We need to answer these questions: How will automation transform the workplace? What will the implications for employment? What is likely to be its impact both on productivity in the global economy and on employment?