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Artificial Intelligence Marketing and Predicting Consumer Choice
Author: Steven Struhl
Publisher: Kogan Page Publishers
ISBN: 0749479566
Pages: 272
Year: 2017-04-03
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The ability to predict consumer choice is a fundamental aspect to success for any business. In the context of artificial intelligence marketing, there are a wide array of predictive analytic techniques available to achieve this purpose, each with its own unique advantages and disadvantages. Artificial Intelligence Marketing and Predicting Consumer Choice serves to integrate these widely disparate approaches, and show the strengths, weaknesses, and best applications of each. It provides a bridge between the person who must apply or learn these problem-solving methods and the community of experts who do the actual analysis. It is also a practical and accessible guide to the many remarkable advances that have been recently made in this fascinating field. Online resources include bonus chapters on AI, ensembles and neural nets, and finishing experiments, plus single and multiple product simulators.
Artificial Intelligence Marketing and Predicting Consumer Choice
Author: Steven Struhl
Publisher: Kogan Page
ISBN: 0749479558
Pages: 224
Year: 2017-04-03
View: 748
Read: 527
The goal of Artificial Intelligence Marketing and Predicting Consumer Choice is to explain and contrast the widely differing approaches to predictive analytics and predicting consumer choice, in practical terms that are grounded in business reality.
Artificial Intelligence for Marketing
Author: Jim Sterne
Publisher: John Wiley & Sons
ISBN: 1119406331
Pages: 368
Year: 2017-08-14
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A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the "need-to-know" aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve.
Introduction to Algorithmic Marketing
Author: Ilya Katsov
Publisher:
ISBN: 0692989048
Pages: 506
Year: 2017-12-02
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A comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers. The book covers the main areas of marketing that require programmatic micro-decisioning - targeted promotions and advertisements, eCommerce search, recommendations, pricing, and assortment optimization.
Prediction Machines
Author: Ajay Agrawal, Joshua Gans, Avi Goldfarb
Publisher: Harvard Business Press
ISBN: 1633695689
Pages: 272
Year: 2018-04-17
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Read: 935
"What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future. But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs. When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.
Practical Text Analytics
Author: Steven Struhl
Publisher: Kogan Page
ISBN: 074947937X
Pages: 272
Year: 2016-03-28
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Bridging the gap between the marketer who must put text analytics to use and data analysis experts, Practical Text Analytics is an accessible guide to the many advances in text analytics. It explains the different approaches and methods, their uses, strengths, and weaknesses, in a way that is relevant to marketing professionals. Each chapter includes illustrations and charts, hints and tips, pointers on the tools and techniques, definitions, and case studies/examples. Consultant and researcher Steven Struhl presents the process of text analysis in ways that will help marketers clarify and organize the confusing array of methods, frame the right questions, and apply the results successfully to find meaning in any unstructured data and develop effective new marketing strategies.
Marketing Data Science
Author: Thomas W. Miller
Publisher: FT Press
ISBN: 0133887340
Pages: 225
Year: 2015-05-02
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Now , a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications. Building on Miller's pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. Starting where Miller's widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes: The role of analytics in delivering effective messages on the web Understanding the web by understanding its hidden structures Being recognized on the web – and watching your own competitors Visualizing networks and understanding communities within them Measuring sentiment and making recommendations Leveraging key data science methods: databases/data preparation, classical/Bayesian statistics, regression/classification, machine learning, and text analytics Six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. This text's extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and/or R. Marketing Data Science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.
Predictive Analytics, Data Mining and Big Data
Author: S. Finlay
Publisher: Springer
ISBN: 1137379286
Pages: 260
Year: 2014-07-01
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This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.
Advanced Customer Analytics
Author: Mike Grigsby
Publisher: Kogan Page Publishers
ISBN: 0749477164
Pages: 264
Year: 2016-10-03
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Advanced Customer Analytics provides a clear guide to the specific analytical challenges faced by the retail sector. The book covers the nature and scale of data obtained in transactions, relative proximity to the consumer and the need to monitor customer behaviour across multiple channels. The book advocates a category management approach, taking into account the need to understand the consumer mindset through elasticity modelling and discount strategies, as well as targeted marketing and loyalty design. A practical, no-nonsense approach to complex scenarios is taken throughout, breaking down tasks into easily digestible steps. The use of a fictional retail analyst 'Scott' helps to provide accessible examples of practice. Advanced Customer Analytics does not skirt around the complexities of this subject but offers conceptual support to steer retail marketers towards making the right choices for analysing their data.
Marketing Analytics
Author: Mike Grigsby
Publisher: Kogan Page Publishers
ISBN: 0749474181
Pages: 248
Year: 2015-06-03
View: 599
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Who is most likely to buy and what is the best way to target them? Marketing Analytics enables marketers and business analysts to answer these questions by leveraging proven methodologies to measure and improve upon the effectiveness of marketing programs. Marketing Analytics demonstrates how statistics, analytics and modeling can be put to optimal use to increase the effectiveness of every day marketing activities, from targeted list creation and data segmentation to testing campaign effectiveness and forecasting demand. The author explores many common marketing challenges and demonstrates how to apply different data models to arrive at viable solutions. Business cases and critical analysis are included to illustrate and reinforce key concepts throughout. Beginners will benefit from clear, jargon-free explanations of methodologies relating to statistics, marketing strategy and consumer behaviour. More experienced practitioners will appreciate the more complex aspects of data analytics and data modeling, discovering new applications of various techniques in every day practice. Readers of Marketing Analytics will come away with a firm foundation in markets analytics and the tools they need to gain competitive edge and increase market share. Online supporting resources for this book include a bank of test questions as well as data sets relating to many of the chapters.
Life 3.0
Author: Max Tegmark
Publisher: Vintage
ISBN: 1101946601
Pages: 384
Year: 2017-08-29
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New York Times Best Seller How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial. How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today’s kids? How can we make future AI systems more robust, so that they do what we want without crashing, malfunctioning or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will machines eventually outsmart us at all tasks, replacing humans on the job market and perhaps altogether? Will AI help life flourish like never before or give us more power than we can handle? What sort of future do you want? This book empowers you to join what may be the most important conversation of our time. It doesn’t shy away from the full range of viewpoints or from the most controversial issues—from superintelligence to meaning, consciousness and the ultimate physical limits on life in the cosmos.
When Digital Becomes Human
Author: Steven Van Belleghem
Publisher: Kogan Page Publishers
ISBN: 074947324X
Pages: 208
Year: 2015-04-03
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In an age when customers have access to vast amounts of data about a company, its product and its competitors, customer experience becomes increasingly important as a sustainable source of competitive advantage. But success doesn't just rely on digital engagement and excellence, but also on combining a digital-first attitude with a human touch. In When Digital Becomes Human, Steven Van Belleghem explores and explains the new digital relationships. Packed with global examples from organizations that have successfully transformed their customer relationships, such as Amazon, Toyota, ING, Coolblue, Nike and Starbucks, When Digital Becomes Human presents a clear model that companies can easily implement to integrate an emotional layer into their digital strategy. This guide to combining two of a business's most important assets - its people and its digital strengths - covers the latest issues in digital marketing and customer experience management, including omnichannel and multichannel experiences, big data and predictive analytics, privacy concerns, customer collaboration (ie crowdsourcing) and more.
The Everything Guide To Network Marketing
Author: Esther Spina
Publisher: Simon and Schuster
ISBN: 1440592357
Pages: 304
Year: 2015-11-13
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Proven techniques for multilevel marketing success! Whether you're looking for a career change, a flexible part-time job, or a way to make money while staying home with the kids, network marketing is one of the fastest-growing business opportunities available. From services you need to products you love, there are hundreds of network marketing jobs to explore, and some are as easy as throwing a party with your closest friends. If you're willing to learn and dedicate the necessary time and energy, network marketing can help you achieve your dreams of financial independence. This step-by-step guide includes all the information you'll need to get started, including how to: Find a product you'll love selling and a company you'll enjoy working with Identify a sponsor to help you get started and meet your goals Develop a personal business plan Improve your marketing and sales skills Grow and support your team Maximize your income Packed with expert tips and best practices from successful marketers, The Everything Guide to Network Marketing will help you achieve financial goals while helping others do the same.
Marketing Intelligent Systems Using Soft Computing
Author: Jorge Casillas, Francisco J. Martínez-López
Publisher: Springer Science & Business Media
ISBN: 3642156053
Pages: 478
Year: 2010-09-30
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Dr. Jay Liebowitz Orkand Endowed Chair in Management and Technology University of Maryland University College Graduate School of Management & Technology 3501 University Boulevard East Adelphi, Maryland 20783-8030 USA [email protected] edu When I first heard the general topic of this book, Marketing Intelligent Systems or what I’ll refer to as Marketing Intelligence, it sounded quite intriguing. Certainly, the marketing field is laden with numeric and symbolic data, ripe for various types of mining—data, text, multimedia, and web mining. It’s an open laboratory for applying numerous forms of intelligentsia—neural networks, data mining, expert systems, intelligent agents, genetic algorithms, support vector machines, hidden Markov models, fuzzy logic, hybrid intelligent systems, and other techniques. I always felt that the marketing and finance domains are wonderful application areas for intelligent systems, and this book demonstrates the synergy between marketing and intelligent systems, especially soft computing. Interactive advertising is a complementary field to marketing where intelligent systems can play a role. I had the pleasure of working on a summer faculty f- lowship with R/GA in New York City—they have been ranked as the top inter- tive advertising agency worldwide. I quickly learned that interactive advertising also takes advantage of data visualization and intelligent systems technologies to help inform the Chief Marketing Officer of various companies. Having improved ways to present information for strategic decision making through use of these technologies is a great benefit.
The Future of the Professions
Author: Richard Susskind, Daniel Susskind
Publisher: OUP Oxford
ISBN: 0191022411
Pages: 256
Year: 2015-10-22
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This book predicts the decline of today's professions and describes the people and systems that will replace them. In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others, to work as they did in the 20th century. The Future of the Professions explains how 'increasingly capable systems' - from telepresence to artificial intelligence - will bring fundamental change in the way that the 'practical expertise' of specialists is made available in society. The authors challenge the 'grand bargain' - the arrangement that grants various monopolies to today's professionals. They argue that our current professions are antiquated, opaque and no longer affordable, and that the expertise of the best is enjoyed only by a few. In their place, they propose six new models for producing and distributing expertise in society. The book raises important practical and moral questions. In an era when machines can out-perform human beings at most tasks, what are the prospects for employment, who should own and control online expertise, and what tasks should be reserved exclusively for people? Based on the authors' in-depth research of more than ten professions, and illustrated by numerous examples from each, this is the first book to assess and question the relevance of the professions in the 21st century.

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