{"product_id":"behavioral-ai-isbn-9781394196869","title":"Behavioral AI","description":"\u003cp\u003e\u003cb\u003eImplement AI and big data at your organization using principles from behavioral economics\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eBehavioral AI: Unleash Decision Making with Data,\u003c\/i\u003e behavioral economist Dr. Rogayeh Tabrizi delivers an intuitive roadmap to help organizations disentangle the complexity of their data to create tangible and lasting value. The book explains how to balance the multiple disciplines that power AI and behavioral economics using a combination of the right questions and insightful problem solving. \u003c\/p\u003e\u003cp\u003eYou'll learn why intellectual diversity and combining subject matter experts in psychology, behavior, economics, physics, computer science, and engineering is essential to creating advanced AI solutions. You'll also discover: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eHow behavioral economics principles influence data models and governance architectures and make digital transformation processes more efficient and effective\u003c\/li\u003e \u003cli\u003eDiscussions of the most important barriers to value in typical big data and AI projects and how to bring them down\u003c\/li\u003e \u003cli\u003eThe most effective methodology to help shorten the long, wasteful process of “boiling the ocean of data”\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eAn exciting and essential resource for managers, executives, board members, and other business leaders engaged or interested in harnessing the power of artificial intelligence and big data, \u003ci\u003eBehavioral AI\u003c\/i\u003e will also benefit data and machine learning professionals. \u003c\/p\u003e\u003cp\u003ePreface xi \u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Magic Happens at the Intersections 1\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003eAsking the Right Questions: Data, Intuition, and Strategy 3 \u003c\/p\u003e \u003cp\u003eSimplifying the Complexity 6 \u003c\/p\u003e \u003cp\u003eConnecting the Dots 8 \u003c\/p\u003e \u003cp\u003eUncovering Hidden Patterns: Models and Algorithms in Action 10 \u003c\/p\u003e \u003cp\u003eDecoding Consumer Behavior: The Interplay of Psychology and Economics 11 \u003c\/p\u003e \u003cp\u003eEmpowering Behavioral Economics: The Synergy of Data Analytics, ML, and AI 14 \u003c\/p\u003e \u003cp\u003eCrafting a Customer- Centric Paradigm: The Fusion of Technology and Behavioral Insights 17 \u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 It Is All Connected: Behavioral Economics, Decision-Making, Biases, and Heuristics 19\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003eHistory and Origins of Behavioral Economics 20 \u003c\/p\u003e \u003cp\u003eEarly Days 21 \u003c\/p\u003e \u003cp\u003eEntering Mainstream Economics 23 \u003c\/p\u003e \u003cp\u003eCurrent Research and Practical Applications 26 \u003c\/p\u003e \u003cp\u003eBack to the Beginning 30 \u003c\/p\u003e \u003cp\u003ePsychology of Decision- Making 33 \u003c\/p\u003e \u003cp\u003eDual- Process Theories 33 \u003c\/p\u003e \u003cp\u003eHeuristics and Biases 35 \u003c\/p\u003e \u003cp\u003eNoise 39 \u003c\/p\u003e \u003cp\u003eProspect Theory 40 \u003c\/p\u003e \u003cp\u003eNudging 42 \u003c\/p\u003e \u003cp\u003eExperimentation 46 \u003c\/p\u003e \u003cp\u003eHow It Works 47 \u003c\/p\u003e \u003cp\u003eUber and Experimentation 49 \u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Minimal Data, Maximal Impact: From Big Data to Minimum Viable Data 53\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003eHow Much Data Are We Talking About? Lots and Lots 55 \u003c\/p\u003e \u003cp\u003eYou Do Not Need a Lot of Data to Get Started, You Need the MVD 58 \u003c\/p\u003e \u003cp\u003eAsking the Right Questions, Again! 59 \u003c\/p\u003e \u003cp\u003eSynthetic Data: What It Is and What It Isn’t 63 \u003c\/p\u003e \u003cp\u003eSurvey Data to the Rescue 67 \u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Building Intelligence: AI and ML Essentials, Transforming Data into Intelligence 73\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003eClassical AI 76 \u003c\/p\u003e \u003cp\u003eML 78 \u003c\/p\u003e \u003cp\u003eDeep Learning 82 \u003c\/p\u003e \u003cp\u003eGenerative AI 86 \u003c\/p\u003e \u003cp\u003eMachine Intelligence and Biologically Inspired Models 90 \u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Real-World Impact: Harnessing AI and ml for Practical Solutions 95\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003eUnleashing the Full Potential of AI: Beyond the Hype 96 \u003c\/p\u003e \u003cp\u003eRethinking Segmentation: Beyond Demographics and Life Stages 97 \u003c\/p\u003e \u003cp\u003eUncovering Unexpected Customer Patterns 101 \u003c\/p\u003e \u003cp\u003ePredicting Intent and Mapping Customer Journeys 104 \u003c\/p\u003e \u003cp\u003eOvercoming Challenges in Predicting Customer Intent 106 \u003c\/p\u003e \u003cp\u003ePredicting and Managing Returns 108 \u003c\/p\u003e \u003cp\u003eThe Power and Nuances of Recommendation Models 111 \u003c\/p\u003e \u003cp\u003eBroadening Horizons: Beyond Category Killers 114 \u003c\/p\u003e \u003cp\u003eEnhancing In- Store Experience with Recommendation Models 116 \u003c\/p\u003e \u003cp\u003eLeveraging Propensity Models for Targeted Campaigns 118 \u003c\/p\u003e \u003cp\u003ePersonalized Pricing: Influencing Behaviors and Financial Outcomes 121 \u003c\/p\u003e \u003cp\u003eBehavioral Economics in Personalized Pricing Strategies 124 \u003c\/p\u003e \u003cp\u003eForecasting: Understanding the Dynamics of Demand 127 \u003c\/p\u003e \u003cp\u003eThe Power of Forecasting and Optimization 131 \u003c\/p\u003e \u003cp\u003eTransparent MMMs 132 \u003c\/p\u003e \u003cp\u003eEnsembling Models for Enhanced Forecasting 133 \u003c\/p\u003e \u003cp\u003eThe Interplay of Demand Forecasting and Inventory Optimization 133 \u003c\/p\u003e \u003cp\u003eConclusion 135 \u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Decoding Complexity: Leveraging Systems Thinking in Modern Organizations 137\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003eOnly a Wet Baby Likes Change: Loss Aversion + Status Quo Bias 140 \u003c\/p\u003e \u003cp\u003eIt Gets Better! Commitment Device, Peer Effect, and Sunk Cost Fallacy 145 \u003c\/p\u003e \u003cp\u003eConclusion 151 \u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Unlocking Scale: Overcoming Operational and Organizational Complexity in Scaling AI Projects 155\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003eEnablers of Success 156 \u003c\/p\u003e \u003cp\u003eCommunication and Intellectual Diversity 159 \u003c\/p\u003e \u003cp\u003eBuilding Trust, Experimentation, and Adoption 164 \u003c\/p\u003e \u003cp\u003eInterpretation Layers 166 \u003c\/p\u003e \u003cp\u003eThe Power of Experimentation 169 \u003c\/p\u003e \u003cp\u003eMeasuring ROI Through Experimentation 171 \u003c\/p\u003e \u003cp\u003eConclusion 173 \u003c\/p\u003e \u003cp\u003eEpilogue 175 \u003c\/p\u003e \u003cp\u003eNotes 179 \u003c\/p\u003e \u003cp\u003eAdditional Reading 189 \u003c\/p\u003e \u003cp\u003eBibliography 197 \u003c\/p\u003e \u003cp\u003eAcknowledgments 205 \u003c\/p\u003e \u003cp\u003eAbout the Author 207 \u003c\/p\u003e \u003cp\u003eIndex 209\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eROGAYEH TABRIZI, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is the founder and CEO of Theory+Practice, a technology company with deep expertise in AI and data and specializes in helping large CPG and Retail enterprises utilize their data to radically enhance revenue ­optimization decisions. She has a PhD in Economics and a MSc in Particle Physics and worked on the ATLAS detector at CERN.   \u003c\/p\u003e\u003cp\u003eModern enterprises understand that their data is valuable but struggle to translate that basic idea into effective implementations and actionable insights. \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eBehavioral AI: Unleash Decision Making with Data\u003c\/i\u003e, behavioral economist Dr. Rogayeh Tabrizi delivers a practical roadmap that helps companies reduce the complexity of their data and helps them create tangible and long-lasting value from it. She explains how to balance the multiple disciplines that give artificial intelligence (AI) its power and demystifies behavioral economics using a combination of intuitive questions and insightful problem solving. \u003c\/p\u003e\u003cp\u003eYou’ll discover why intellectual diversity and subject matter combinations from a wide variety of fields—including psychology, behavior, economics, physics, computer science, and engineering—are essential to creating useful AI solutions. You’ll also learn how behavioral economics principles influence data models and governance architectures and make digital transformation processes more efficient and effective. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eBehavioral AI\u003c\/i\u003e offers discussions of the most important barriers to value in typical big data and AI projects, as well as how to overcome them. It also provides an effective methodology to help shorten the long, wasteful process of “boiling the ocean of data,” helping your company focus on the data that actually leads to real-world solutions. \u003c\/p\u003e\u003cp\u003eAn essential and exciting new resource for executives, managers, board members, entrepreneurs, founders, and other business leaders, this book will earn a place in the libraries of data and machine learning professionals with an interest in harnessing the power of AI and big data.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eTurn your organization’s data into concrete, hands-on solutions using principles from behavioral economics\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eBehavioral AI: Unleash Decision Making with Data\u003c\/i\u003e is a hands-on playbook for enterprises who want to turn their customer and client data into actionable insights and lasting business value. This is not a high-level, abstract discussion of “big data” or artificial intelligence. It is a practical roadmap designed to use a variety of academic disciplines to help companies develop real-world AI and data solutions for everyday business use. \u003c\/p\u003e\u003cp\u003e\u003cb\u003ePraise for BEHAVIORAL AI\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e“‘Nullius in verba’ is the motto of the Royal Society, which means ‘no one’s words’. At no time in history does humankind have as much data as we do now and perhaps at no time in history are we challenged with what to do with it. A lot has been written about use of data and a lot has been written on how to decode behavior for actionable insights, but rarely the two have come together. Rogayeh has masterfully captured the nexus of data, AI and behavior in this book. Apart from simplifying new and emerging concepts, she has layered how the model works within practice. A must-read for anyone who embraces ‘nullius in verba’ and uses ‘impossible’ as a stepping stone.”\u003cbr\u003e \u003cb\u003e—SHAKIR MOIN,\u003c\/b\u003e President, Marketing, Coca-Cola North America \u003c\/p\u003e\u003cp\u003e“\u003ci\u003eBehavioral AI\u003c\/i\u003e is the ultimate playbook for unlocking the soul of data. Tabrizi offers a fresh, incisive look at the intersection of AI and behavioral science, merging the art of human intuition with the rigor of data. This book takes you behind the algorithms and into the heart of decision making, showing that the real magic lies where data meets human psychology. A must-read for anyone looking to harness AI to its fullest potential—not just for data but for meaningful insight.”\u003cbr\u003e \u003cb\u003e—DAVID J. KATZ,\u003c\/b\u003e EVP \u0026amp; Chief Marketing Officer, Randa Apparel \u0026amp; Accessories \u003c\/p\u003e\u003cp\u003e“An enlightening look at how economic principles and AI can combine to make a real difference, \u003ci\u003eBehavioral AI\u003c\/i\u003e offers practical tools and fresh perspectives for understanding consumer behavior at its core. This book makes it clear that successful AI isn’t just about technology or collecting more data—it’s about understanding people and asking better questions. \u003ci\u003eBehavioral AI\u003c\/i\u003e is a vital resource for any leader looking to build connections that last and understand the science behind the intersection of AI and behavioral economics.”\u003cbr\u003e \u003cb\u003e—MENG CHEE,\u003c\/b\u003e former EVP \u0026amp; CPO, Walmart\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988800094437,"sku":"NP9781394196869","price":32.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781394196869.jpg?v=1761781638","url":"https:\/\/k12savings.com\/products\/behavioral-ai-isbn-9781394196869","provider":"K12savings","version":"1.0","type":"link"}