How Artificial Intelligence Raises Efficiency
Download How Artificial Intelligence Raises Efficiency PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get How Artificial Intelligence Raises Efficiency book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Artificial Intelligence Raises Efficiency and Productivity
Author: Johnny Ch LOK
language: en
Publisher: Independently Published
Release Date: 2019-04-14
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.
How Artificial Intelligence Raises Efficiency
IntroductionThis 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.
Waste Not! How Nanotechnologies Can Increase Efficiencies Throughout Society
Author: Michael Berger
language: en
Publisher: Royal Society of Chemistry
Release Date: 2025-06-25
There is a pressing global issue of waste and its multi-fold impact on society, the environment, and the economy. This comprehensive guide details the extensive applications of nanotechnologies as a promising solution, presenting a structured examination of how these technological advancements contribute to substantial waste reduction and more efficient waste management processes. Furthermore, the book explores emerging trends, offering readers a well-rounded view and preparing them for future advancements in nanotechnology and sustainable waste management, thereby ensuring continued relevance and utility in the evolving technological landscape. Written by an authority figure in the applications of nanotechnologies, this book is suitable for a global audience, and is a valuable resource for individuals, policymakers, and stakeholders across various countries