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    1. Data och IT
    2. Systemvetenskap och AI

    Artificial Intelligence for Marketing

    Practical Applications

    AvJim Sterne

    Inbunden, Engelska, 2017

    Del i serien Wiley and SAS Business Series

    388 kr

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    E-bok

    476 kr

    E-bok

    476 kr

    Beskrivning

    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 marketingUnderstand how marketers without a Data Science degree can make use of machine learning technologyCollaborate with data scientists as a subject matter expert to help develop focused-use applicationsHelp your company gain a competitive advantage by leveraging leading-edge technology in marketingMarketing 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.

    Produktinformation

    • Utgivningsdatum:2017-10-03
    • Mått:160 x 226 x 38 mm
    • Vikt:544 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:Wiley and SAS Business Series
    • Antal sidor:368
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781119406334

    Utforska kategorier

    • Systemvetenskap och AI inom Data och IT

    Mer om författaren

    JIM STERNE is founder of the eMetrics Summit and cofounder and Board Chair of the Digital Analytics Association. An internationally known speaker and consultant, he is the author of numerous books, including 101 Things You Should Know About Marketing Optimization Analysis, Social Media Metrics, and The Devil’s Data Dictionary.

    Innehållsförteckning

    • Foreword by Tom Davenport xiiiPreface xviiAcknowledgments xixChapter 1 Welcome to the Future 1Welcome to Autonomic Marketing 3Welcome to Artificial Intelligence for Marketers 3Whom Is This Book For? 5The Bright, Bright Future 6Is AI So Great if It’s So Expensive? 7What’s All This AI Then? 9The AI Umbrella 9The Machine that Learns 10Are We There Yet? 14AI-pocalypse 15Machine Learning’s Biggest Roadblock 23Machine Learning’s Greatest Asset 24Are We Really Calculable? 56Chapter 2 Introduction to Machine Learning 59Three Reasons Data Scientists Should Read This Chapter 59Every Reason Marketing Professionals Should ReadThis Chapter 60We Think We’re So Smart 60Define Your Terms 61All Models Are Wrong 62Useful Models 64Too Much to Think About 66Machines Are Big Babies 68Where Machines Shine 69Strong versus Weak AI 71The Right Tool for the Right Job 72Make Up Your Mind 88One Algorithm to Rule Them All? 89Accepting Randomness 92Which Tech Is Best? 94For the More Statistically Minded 94What Did We Learn? 101Chapter 3 Solving the Marketing Problem 103One-to-One Marketing 105One-to-Many Advertising 107The Four Ps 108What Keeps a Marketing Professional Awake? 109The Customer Journey 111We Will Never Really Know 111How Do I Connect? Let Me Count the Ways 114Why Do I Connect? Branding 117Marketing Mix Modeling 119Econometrics 121Customer Lifetime Value 121One-to-One Marketing—The Meme 122Seat-of-the-Pants Marketing 123Marketing in a Nutshell 124What Seems to Be the Problem? 126Chapter 4 Using AI to Get Their Attention 128Market Research: Whom Are We After? 128Marketplace Segmentation 131Raising Awareness 141Social Media Engagement 155In Real Life 158The B2B World 158Chapter 5 Using AI to Persuade 165The In-Store Experience 168On the Phone 178The Onsite Experience—Web Analytics 179Merchandising 186Closing the Deal 188Back to the Beginning: Attribution 193Chapter 6 Using AI for Retention 200Growing Customer Expectations 200Retention and Churn 202Many Unhappy Returns 204Customer Sentiment 208Customer Service 209Predictive Customer Service 216Chapter 7 The AI Marketing Platform 218Supplemental AI 218Marketing Tools from Scratch 221A Word about Watson 224Building Your Own 230Chapter 8 Where Machines Fail 232A Hammer Is Not a Carpenter 232Machine Mistakes 235Human Mistakes 241The Ethics of AI 247Solution? 258What Machines Haven’t Learned Yet 260Chapter 9 Your Strategic Role in Onboarding AI 262Getting Started, Looking Forward 264AI to Leverage Humans 272Collaboration at Work 274Your Role as Manager 276Know Your Place 282AI for Best Practices 286Chapter 10 Mentoring the Machine 289How to Train a Dragon 290What Problem Are You Trying to Solve? 291What Makes a Good Hypothesis? 294The Human Advantage 297Chapter 11 What Tomorrow May Bring 305The Path to the Future 307Machine, Train Thyself 308Intellectual Capacity as a Service 308Data as a Competitive Advantage 310How Far Will Machines Go? 316Your Bot Is Your Brand 319My AI Will Call Your AI 321Computing Tomorrow 325About the Author 327Index 329