Behavioral AI : unleash decision making with data / Rogayeh Tabrizi.
نوع المادة :
ملف الحاسوباللغة: الإنجليزية الناشر:Hoboken, New Jersey : John Wiley & Sons, Inc., [2025]تاريخ حقوق النشر: 2025الطبعات:First editionوصف:1 online resource (xx, 217 pages) : illustrationsنوع المحتوى:- text
- computer
- online resource
- 9781394196845
| نوع المادة | المكتبة الحالية | رقم الطلب | رابط URL | حالة | تاريخ الإستحقاق | الباركود | حجوزات مادة | |
|---|---|---|---|---|---|---|---|---|
مصدر رقمي
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UAE Federation Library | مكتبة اتحاد الإمارات Online Copy | نسخة إلكترونية | رابط إلى المورد | لا يعار |
Includes bibliographical references and index.
Table Of Contents” -- “Cover” -- “Title Page” -- “Copyright Page” -- “Contents” -- “Preface” -- “Chapter 1 Magic Happens at the Intersections” -- “Asking the Right Questions: Data, Intuition, and Strategy” -- “Simplifying the Complexity” -- “Connecting the Dots” -- “Uncovering Hidden Patterns: Models and Algorithms in Action” -- “Decoding Consumer Behavior: The Interplay of Psychology and Economics” -- “Empowering Behavioral Economics: The Synergy of Data Analytics, ML, and AI” -- “Crafting a Customer-Centric Paradigm: The Fusion of Technology and Behavioral Insights” -- “Chapter 2 It Is All Connected: Behavioral Economics, Decision-Making, Biases, and Heuristics” -- “History and Origins of Behavioral Economics” -- “Early Days” -- “Entering Mainstream Economics” -- “Current Research and Practical Applications” -- “Back to the Beginning” -- “Psychology of Decision-Making” -- “Dual-Process Theories” -- “Heuristics and Biases” -- “Noise” -- “Prospect Theory” -- “Nudging” -- “Experimentation” -- “How It Works” -- “Uber and Experimentation” -- “Chapter 3 Minimal Data, Maximal Impact: From Big Data to Minimum Viable Data” -- “How Much Data Are We Talking About? Lots and Lots” -- “You Do Not Need a Lot of Data to Get Started, You Need the MVD” -- “Asking the Right Questions, Again!” -- “Synthetic Data: What It Is and What It Isn’t” -- “Survey Data to the Rescue” -- “Chapter 4 Building Intelligence: AI and ML Essentials, Transforming Data into Intelligence” -- “Classical AI” -- “ML” -- “Deep Learning” -- “Generative AI” -- “Machine Intelligence and Biologically Inspired Models” -- “Chapter 5 Real-World Impact: Harnessing AI and ML for Practical Solutions” -- “Unleashing the Full Potential of AI: Beyond the Hype” -- “Rethinking Segmentation: Beyond Demographics and Life Stages” -- “Uncovering Unexpected Customer Patterns” -- “Predicting Intent and Mapping Customer Journeys” -- “Overcoming Challenges in Predicting Customer Intent” -- “Predicting and Managing Returns” -- “The Power and Nuances of Recommendation Models” -- “Broadening Horizons: Beyond Category Killers” -- “Enhancing In-Store Experience with Recommendation Models” -- “Leveraging Propensity Models for Targeted Campaigns” -- “Personalized Pricing: Influencing Behaviors and Financial Outcomes” -- “Behavioral Economics in Personalized Pricing Strategies” -- “Forecasting: Understanding the Dynamics of Demand” -- “The Power of Forecasting and Optimization” -- “Transparent MMMs” -- “Ensembling Models for Enhanced Forecasting” -- “The Interplay of Demand Forecasting and Inventory Optimization” -- “Conclusion” -- “Chapter 6 Decoding Complexity: Leveraging Systems Thinking in Modern Organizations” -- “Only a Wet Baby Likes Change: Loss Aversion + Status Quo Bias” -- “It Gets Better! Commitment Device, Peer Effect, and Sunk Cost Fallacy” -- “Conclusion” -- “Chapter 7 Unlocking Scale: Overcoming Operational and Organizational Complexity in Scaling AI Projects” -- “Enablers of Success” -- “Communication and Intellectual Diversity” -- “Building Trust, Experimentation, and Adoption” -- “Interpretation Layers” -- “The Power of Experimentation” -- “Measuring ROI Through Experimentation” -- “Conclusion” -- “Epilogue” -- “Notes” -- “Additional Reading” -- “Bibliography” -- “Acknowledgments” -- “About the Author” -- “Index” -- “EULA
Unleash Your Business addresses the rapidly changing landscapes of digital, data, and AI, and the need for organizations to take advantage of their data. Modern enterprises understand the value of their data but struggle with where to start and how to generate actionable insights. In this book, Tabrizi provides a roadmap to help disentangle the complexity of one of the most underused assets in organizations--their data--to create tangible and lasting value. The heart of this process is the delicate balance between the multiple disciplines that power AI and behavioral economics. The roadmap begins by figuring out how to ask the right questions. The uncomfortable process of peeling back the layers of a complex problem to uncover and connect seemingly unconnected dots--and the creativity led by curiosity--is the foundation for this model of strategic thinking. The book outlines core topics at the intersection of AI and behavioral economics.
Description based on print version record.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
