Big Data Gathering Predicts Sevice Industry

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Big Data Gathering Predicts Sevice Industry Consumption Behavior

Author : Johnny Ch LOK
Publisher :
ISBN 13 : 9781724133311
Total Pages : 635 pages
Book Rating : 4.1/5 (333 download)

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Book Synopsis Big Data Gathering Predicts Sevice Industry Consumption Behavior by : Johnny Ch LOK

Download or read book Big Data Gathering Predicts Sevice Industry Consumption Behavior written by Johnny Ch LOK and published by . This book was released on 2018-09-28 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assit businesses to predict why and when and how consumer behavior changes in service industry. I shall explain why traditional psychological and statistic and marketing methods are applied to predict consumer behaviors, human's judgement and analytical effort will be worse to compare AI machine's judgement and analytical effort in srvice industry. Also, I shall indicate different business organizations why they apply AI big data gathering method to help them to design any questionnaires ( surveys) questions which will be more valid and useful to conclude human's questionnaires ( surveys) design questions method to predict what service requirements can be satisfied to their potential service consumers' needs.This book has these two research questions need to be answered?(1)Can apply (AI) learning machine predict what and how consumers service to satisfy their needs ?(2)Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumers service needs more accurate?Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer service needs in order to know what will be future market activities and market changes to help them to choose to implement what kinds of service marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how consumer service needs changes to influence whose behavioral consumption to the service providers within one to two years short term or three to five years middle term, even above five years long term business plans.Hence, if the service providers can apply the most suitable consumer service needs prediction method to predict how consumers' service needs will be changed to attract their entertainment or public transportation service or catching air plan etc. different kinds of service choice easily. It will have more beneficial intangible and tangible advantages to achieve the their service attraction aim to ensure their businesses' future market share to be increased more easier to their countries' choice target service markets. Otherwise, if they applied the inaccurate service needs prediction methods to predict how their service need changes wrongly. Then, it will influence their market shares to be same level, even it will decrease their market shares, when their consumer service needs prediction inaccurately.In my this book first part, I concentrate on indicate whether any artificial intelligence (AI) tools will be one kind of good service need prediction method to be choose to apply to predict service need behaviors. I shall indicate some examples, cases to give reasonable evidences to analyze whether (AI) tools will be one kind suitable tool to be applied to predict when and how consumer service need changes. If (AI) can be one kind tool to attempt to be applied to predict when and how consumer service need changes. Will it replace other kinds of methods to predict consumer service needs ? Does it have weaknesses to be applied to predict consumer service needs, instead of strengths? Can it be applied to predict consumer service needs depending on any situations of only some situation? Finally, I believe that any readers can find answers to answer above these questions in this book.In my this book second part, I shall explain why and how human can possible apply (AI) tool to predict consumer individual emotion. I shall indicate case studies to explain how consumer individual better or worse emotion how

New Horizons for a Data-Driven Economy

Author : José María Cavanillas
Publisher : Springer
ISBN 13 : 3319215698
Total Pages : 312 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis New Horizons for a Data-Driven Economy by : José María Cavanillas

Download or read book New Horizons for a Data-Driven Economy written by José María Cavanillas and published by Springer. This book was released on 2016-04-04 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

Big Data Gathering Predicts Retail Industry Consumer Behavior

Author : Johnny LOK
Publisher :
ISBN 13 : 9781724100474
Total Pages : 762 pages
Book Rating : 4.1/5 (4 download)

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Book Synopsis Big Data Gathering Predicts Retail Industry Consumer Behavior by : Johnny LOK

Download or read book Big Data Gathering Predicts Retail Industry Consumer Behavior written by Johnny LOK and published by . This book was released on 2018-09-27 with total page 762 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter EightWhat are (AI) predict consumer behavioral functions and features? On analyzing customers behavior in the big data aspect: (AI) technology can gather data effiiently in short time, which is a series of events from a website, it is human's consumer behavioralpredictive effort can not achieve. Big data can help businesse to gain a wide view of customer activity across channels, discover what influences buyingbehavior, tailo businesses' services and products towhat whose customer wants, improve customer satisfaction, drive customer loyalty, optimize existing customers, adapt whose prices to the market, drive the profit and performance of mareting campaigns, net budget without cutting performance and innovte speed of predictive customer behavioral when, how and why changes.For example, although an airline company has lot customers tell happy and satisfactory to itsservice on average a people about their experience, when dissatisfies ones feel frustrations to 22 pers ons. Just one airline passenger complaints. If the airline can gather data to predict when, how and why whose passengers' service needs will change. Then, it can implement service strategy to be changed to attempt to satisfy whose undiscovered needs more clearly.So, today's organizations are facing a very public cycle of buying and service needs changinginfluences. As the airline case, it doesn't attempt to predict when, how and why its passengers' service needs with changes. So, it is possibly that if still has some passengers feel dissatisfactory to its service. As the airline case, big data gathering will help the airline company to build loyalty for long time if it could attempt to apply (AI) big data gathering tool to predict its passengers' service needs. As the airline case, loyalty is needed to build long relevant time between itself and it's plane passengers. So, the airline company needs to keep its passengers' satisfactory service feeling, interested to choose to catch its air planes to fly, feeling its staffs can provide considerate services when any time they expect its service can reward their needs in exactly the way they want when they are catching the plane to fly. So, big data gather method is as a consumer psychological tool to predict when, how and whytheir needs will change in order to gather all pastconsumers' behavioral date to make more accuratepredictive behavioral changes analysis.Pretty databases can fill with laze data and intelligence that takes hours, days and even weeks be delivered with no longer do. When markets become networks of intelligence. Businesses need to keep moving faster. They need systems that can deliver the intelligence immediately. Businesses can need for closing gap betwen their promises or intentions and what their customer wants in " variety".

Big Data and Smart Service Systems

Author : Xiwei Liu
Publisher : Academic Press
ISBN 13 : 9780128120132
Total Pages : 0 pages
Book Rating : 4.1/5 (21 download)

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Book Synopsis Big Data and Smart Service Systems by : Xiwei Liu

Download or read book Big Data and Smart Service Systems written by Xiwei Liu and published by Academic Press. This book was released on 2016-11-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design. The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional industries and lifestyle. More and more governments, business sectors, and institutions begin to realize data is becoming the most valuable asset and its analysis is becoming the core competitiveness.

Big Data Analytics for the Prediction of Tourist Preferences Worldwide

Author : N. Padmaja
Publisher : Emerald Group Publishing
ISBN 13 : 1835493408
Total Pages : 116 pages
Book Rating : 4.8/5 (354 download)

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Book Synopsis Big Data Analytics for the Prediction of Tourist Preferences Worldwide by : N. Padmaja

Download or read book Big Data Analytics for the Prediction of Tourist Preferences Worldwide written by N. Padmaja and published by Emerald Group Publishing. This book was released on 2024-02-22 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics for the Prediction of Tourist Preferences Worldwide explores the benefits, importance and demonstrates how Big Data can be applied in predicting tourist preferences and delivering tourism services in a customer friendly manner.

Big Data in Practice

Author : Bernard Marr
Publisher : John Wiley & Sons
ISBN 13 : 1119231396
Total Pages : 320 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Big Data in Practice by : Bernard Marr

Download or read book Big Data in Practice written by Bernard Marr and published by John Wiley & Sons. This book was released on 2016-03-22 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter

Learning Big Data Gathering Tool to Predict Retail and Service Industry

Author : Johnnny Ch LOK
Publisher :
ISBN 13 : 9781726860406
Total Pages : 663 pages
Book Rating : 4.8/5 (64 download)

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Book Synopsis Learning Big Data Gathering Tool to Predict Retail and Service Industry by : Johnnny Ch LOK

Download or read book Learning Big Data Gathering Tool to Predict Retail and Service Industry written by Johnnny Ch LOK and published by . This book was released on 2018-10-08 with total page 663 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.

Big Data

Author :
Publisher :
ISBN 13 :
Total Pages : 156 pages
Book Rating : 4.:/5 (728 download)

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Book Synopsis Big Data by :

Download or read book Big Data written by and published by . This book was released on 2011 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Learning Big Data Gathering to Predict Retail and Service Industry Consumer Behavior

Author : Johnny Ch LOK
Publisher :
ISBN 13 : 9781726762472
Total Pages : 691 pages
Book Rating : 4.7/5 (624 download)

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Book Synopsis Learning Big Data Gathering to Predict Retail and Service Industry Consumer Behavior by : Johnny Ch LOK

Download or read book Learning Big Data Gathering to Predict Retail and Service Industry Consumer Behavior written by Johnny Ch LOK and published by . This book was released on 2018-10-05 with total page 691 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book researchs how to apply big dta gathering tool to predict retail and service industry consumer behavior. This book first part aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assit businesses to predict why and when and how consumer behavior changes in retail industry. I shall explain why traditional psychological and statistic and marketing methods are applied to predict consumer behaviors, human's judgement and analytical effort will be worse to compare AI machine's judgement and analytical effort. Also, I shall indicate different business organizations why they apply AI big data gathering method to help them to design any questionnaires ( surveys) questions which will be more valid and useful to conclude human's questionnaires ( surveys) design questions method.This book has these two research questions need to be answered?(1)Can apply (AI) learning machine predict consumer behaviors in retail industry?(2)Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate in retail industry?Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer behaviors in order to know what will be future market activities and market changes to help them to choose to implement what kinds of marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how consumer behavioral changes to influence whose behavioral consumption to the manufacturer products sale within one to two years short term or three to five years middle term, even above five years long term business plans.Hence, if the product manufacturers can apply the most suitable consumer behavioral prediction method to predict how consumers' choice will be changed to influence their products sale easily. It will have more beneficial intangible and tangible advantages to achieve the their product easier sale aim to ensure their businesses' future market share to be increased more easier to their countries' choice target sale markets. Otherwise, if they applied the inaccurate consumer behavioral prediction methods to predict how their consumers' behavioral changes wrongly. Then, it will influence their market shares to be same level, even it will decrease their market shares, when their consumer behavioral prediction inaccurately.In my this book first part, I concentrate on indicate whether any artificial intelligence (AI) tools will be one kind of good consumer behavioral prediction method to be choose to apply to predict consumer behaviors. I shall indicate some examples, cases to give reasonable evidences to analyze whether (AI) tools will be one kind suitable tool to be applied to predict when and how consumer behavioral changes. If (AI) can be one kind tool to attempt to be applied to predict when and how consumer behavioral changes. Will it replace other kinds of methods to predict consumer behaviors? Does it have weaknesses to be applied to predict consumer behaviors, instead of strengths? Can it be applied to predict consumer behaviors depending on any situations of only some situation? Finally, I believe that any readers can find answers to answer above these questions in this book.

Big Data

Author : Viktor Mayer-Schönberger
Publisher : Houghton Mifflin Harcourt
ISBN 13 : 0544002695
Total Pages : 257 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Big Data by : Viktor Mayer-Schönberger

Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

The Elements of Big Data Value

Author : Edward Curry
Publisher : Springer Nature
ISBN 13 : 3030681769
Total Pages : 399 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis The Elements of Big Data Value by : Edward Curry

Download or read book The Elements of Big Data Value written by Edward Curry and published by Springer Nature. This book was released on 2021-08-01 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.

Learning Big Data Gathering to Predict Travel Industry Consumer Behavior

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781726729819
Total Pages : 380 pages
Book Rating : 4.7/5 (298 download)

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Book Synopsis Learning Big Data Gathering to Predict Travel Industry Consumer Behavior by : Johnny Ch Lok

Download or read book Learning Big Data Gathering to Predict Travel Industry Consumer Behavior written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-10-04 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: PrepareI write this book aim to let readers to judge whether it is possible to predict future travel behaviour from past travel behaviour for travel agents benefits as well as big data gathering technology can be applied to predict travel consumption behavior if travel agents can gather any past travel consumer data to predict future travel consumption behavior from AI ( big data gathering tool). This book is suitable to any readers who have interest to predict any individal or family or friend groups of travel target's psychological mind to design the different suitable travel packages to satisfy their needs from big data gathering tool prediction method in possible.This book researchs how to apply big dta gathering tool to predict future travel consumer behavior from past travel consumer data. This book first part aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assit businesses to predict why and when and how consumer behavior changes in entertainment industry, e.g. cruise travel and vehicle leisure activities. If AI, big data gathering tool can be applied to predict such as leisure market consumption behavior, it is possible that future big data gathering tool can be used to gather past travel consumer behavioral data in order to conclude more accurate information to predict future travel behavioral need changes.This book has these two research questions need to be answered?(1)Can apply (AI) learning machine predict future travelling consumer behaviors from past travelling consumer behavioral data gathering?(2)Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict future travelling consumer behavioral need changes more accurate in travelling industry?This book second part aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to predict why and when and how travelling consumer behavioral need changes in travelling industry. I shall explain why traditional psychological and statistic and marketing methods are applied to predict consumer behaviors, human's judgement and analytical effort will be worse to compare AI machine's judgement and analytical effort in travel industryNowadays, many businessmen or marketing research professional hope to apply different methods to predict travelling consumer behavioral needs in order to know what will be future travelling market activities changes to help them to choose to implement what kinds of travelling service marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how travelling consumer needs changes to influence whose travelling behavioral consumption for every travels season changes.Hence, if the travelling service providers can apply the most suitable travelling consumer service needs prediction method to predict how travelling consumers' different kinds of travelling package design needs will be changed to attract their travel journey entertainment or journey public transportation service or catching air plan etc. different kinds of travelling service choice easily.

Too Big to Ignore

Author : Phil Simon
Publisher : John Wiley & Sons
ISBN 13 : 1119217849
Total Pages : 256 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Too Big to Ignore by : Phil Simon

Download or read book Too Big to Ignore written by Phil Simon and published by John Wiley & Sons. This book was released on 2015-11-02 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.

Artificial Intelligent Data Gathering Tool Predicts Travel Industry Consumer Behavior

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781728649658
Total Pages : 380 pages
Book Rating : 4.6/5 (496 download)

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Book Synopsis Artificial Intelligent Data Gathering Tool Predicts Travel Industry Consumer Behavior by : Johnny Ch Lok

Download or read book Artificial Intelligent Data Gathering Tool Predicts Travel Industry Consumer Behavior written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-10-10 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the future, big data can use data from text to travelling photo picture, sounds, movies, musics satellite coordinates or any other type of input or output data that type of input or uouput data that came from different influential aspect. It is cloud solutions, bring big data will be for predict insight driven by travelling business stategy, differnet kinds of travelling package design strategies and new travelling consumer relationship, predictive travelling consumer's travelling package design behavioral strategy. Using the right data in the right business decision will mean smart decisions, new opportunitites and utimately a big competitive advantage.Hence (AI) big data gathering tool is different is that (AI) can be one depth in-memeory database function, it can make real-time data analytics that provide meaningful information in short time, it is also the visualization tool, such as SAP Lumira, allow this exploration and understanding of the data, and ultimately supports the decision making process. All above these features, which will be human's data gathering effort who won't exceed (AI) big data gathering effort. Hence, future (AI)big data gathering will be the best choice to assist travelling service businesses to predict travelling consumers' travelling package design behaviors successfully.

Applications of Big Data in Large- and Small-Scale Systems

Author : Goundar, Sam
Publisher : IGI Global
ISBN 13 : 1799866750
Total Pages : 377 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Applications of Big Data in Large- and Small-Scale Systems by : Goundar, Sam

Download or read book Applications of Big Data in Large- and Small-Scale Systems written by Goundar, Sam and published by IGI Global. This book was released on 2021-01-15 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.

Artificial Intelligent Data Gathering Tool Predicts Retail and Service Industry

Author : Johnny Ch LOK
Publisher :
ISBN 13 : 9781728649849
Total Pages : 697 pages
Book Rating : 4.6/5 (498 download)

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Book Synopsis Artificial Intelligent Data Gathering Tool Predicts Retail and Service Industry by : Johnny Ch LOK

Download or read book Artificial Intelligent Data Gathering Tool Predicts Retail and Service Industry written by Johnny Ch LOK and published by . This book was released on 2018-10-10 with total page 697 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thus, I believe that artificial intelligent "big data" gathering method can be suggested to be applied to attempt to predict consumer behavioral changes in global business environment, the reasons are as below: On the consumer's beneficial hand, Consumers can apply this method to attempt to gather any global manufacturers data to be analyzed by this artificial intelligent learning system. Then, it analyzed all the different brands of specific similar product manufacturer' data to compare what are the range of the best past manufacturing history and sale data to the group of best manufacturers, and what are the range of the better past manufacturing history and sale data, and what are the range of the good past manufacturing history and sale data, and what are the range of the common past manufacturing history and sale data. Finally, the (AI) learning system will compare all the specific similar product, e.g. mobile phone or computer, television, car etc. different kinds of specific products of global manufacturers to conclude the result is such as whether which brands will be the best manufacturers to let the consumer to buy the television or mobile phone or computer or car etc. different kinds of products. It can make more accurate judgement to compare general human's phone or questionnaire surveys investigation method, newspapers, television, radios, internet searches etc. different manufacturing news or data gathering channels to find which brands are the most worth confidence to consumers to choose to buy the specific product in the global consumption market.On the manufacturers' beneficial hand, manufacturers can apply (AI) data gathering method to predict consumer emotion and buying behavioral changes more accurate. For example, the vehicle manufacturer, it plans to gather data to predict potential driving fast speed sport vehicle consumers' preferences trends in order to make the accurate judgement how to design its sport vehicles to attract many sport vehicle buyers who will choose to buy it's brand of any driving fast speed sport vehicles. It can attempt to apply (AI) intelligent learning system to gather global different brands of sport vehicle data concerns that all past driving fast speed sport vehicle buyer's preference of sport vehicle design. Then, the (AI) intelligent learning system gather global different brands of driving fast speed sport vehicle which had ever been purchased by the different country's driving fast speed sport vehicles consumers. After, it can compare divide the range of similar driving fast speed sport vehicle design and similar price to be different groups. The (AI) intelligent learning system can attempt to follow the past number of different brands of driving fast speed sport vehicle buyers to calculate how many driving fast speed sport vehicle buyers who choose to buy the brand of driving fast speed sport vehicle as well as it will analyze and make judgement to find whether the cheaper price reason attracts the different countries sport vehicle buyers choose to buy the brand of driving fast speed sport vehicle or the attractive design reason attracts the different countries sport vehicle buyers choose to buy the brand of sport vehicle or fast speed reason attracts the sport vehicle buyers choose to buy the brand of sport vehicle.

Predictive Analytics

Author : Eric Siegel
Publisher : John Wiley & Sons
ISBN 13 : 1119145686
Total Pages : 368 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Predictive Analytics by : Eric Siegel

Download or read book Predictive Analytics written by Eric Siegel and published by John Wiley & Sons. This book was released on 2016-01-13 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.