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The Quantum AI Era of Neuromarketing

Reviving an Iconic Brand

A Levi's Story

Harriman House Essentials

The Choice Factory

Two of the world's leading researchers on behavior and decision-making join forces to equip readers with the knowledge, tools, and techniques to live our best, most human lives in an age of machines. “The real problem of humanity is the following: We have Paleolithic emotions, medieval institutions and godlike technology. And it is terrifically dangerous.” —E.O WilsonOur choices and experience of the world are increasingly shaped by powerful interests and godlike technology. Somebody else is deciding what ‘good’ choices look like—and often that means good for them, not for you. From the social media apps hijacking your attention and algorithms quietly curating your reality, to the markets profiting from confusion and AI systems slowly eroding your thinking: your choices are shaped by people who understand your psychology better than you do, and use that knowledge for their own ends. Against this backdrop, it is easy to feel diminished and 'done to'.This book is about fighting back—individually and collectively—and becoming the best of ourselves. Becoming super-humans. Drawing on over 1,000 experiments run across more than 70 countries, Halpern and Costa show how you can boost your own agency and decision-making, how we can upgrade our systems and institutions so that it is easier for everyone to choose well, and how we can shape AI so that it amplifies human capability rather than replacing it.Super-Human ultimately asks us to make the biggest choice of all: in an age when machines can think, decide and even feel on our behalf—what kind of humans do we want to be? <ul><li>Human. Reclaiming agency and becoming a better decision-maker (Chapters 1-3). Understanding how human attention and sense-making works, so that we can self-guide, rather than be hacked by others - and more effectively turn our intentions into action.</li><li>Supra-human. Building systems that support us to choose well together. (Chapters 4-7). Humans are social creatures, who think aloud and together. It's a feature not a fault. Social networks, markets and institutions strongly enable us to achieve things we could never do alone, but also operate as ‘supra-human’ influences on our behavior. Yet individually and collectively we have power to channel and shape them too - more power than we realize</li><li>Super-human. Shaping the technology that will shape us. (Chapter 8) AI could be the ultimate ‘bicycle of the mind’, but it can also become a crutch rather than a coach. It poses opportunity and challenge - to boost our capabilities to superhuman levels, or to become our inadvertent master.</li><li>Future-human. What kind of humans do we ultimately want to be? (Conclusion) Our minds today have been shaped by the technologies and institutions of our ancestors, in ways they could not have anticipated. We can make choices that will alter our minds and those that follow: what shall we choose?</li></ul>

Reclaiming Our Power to Choose and Shape the Future

Superhuman

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

A dazzling exploration of the phenomenon of prediction betting markets that asks: what happens when democracy becomes another commodity? For many, Donald Trump's decisive election victory over Kamala Harris in 2024 was a shock. Traditional polls had the race on a razor's edge. But, for those with eyes on prediction betting markets, a very different story was being told. In recent years, prediction markets have swept the world, fundamentally changing the nature of the gambling market, and making their youthful pioneers billionaires. Posed as binary 'Yes/No' questions about future events, prediction bets allow any difference of opinion - whether on politics, wars, assassinations or popular culture - to be financialised. But are these markets really a new phenomenon? What does it mean when markets get closer to the truth than the institutions we built to protect us? And what happens when those tasked with safeguarding democracy possess financial stakes in its volatility? From Renaissance Rome, where merchants wagered on papal conclaves, through London coffee house gossip during the Napoleonic Wars, to the Pentagon's ill-fated terrorism futures exchange, The Big Bet describes the full five-hundred-year arc of a permissive regime which no one designed and no one voted for. Drawing on deep expertise, Michael Auerbach examines how these markets are changing our world, and what they mean for the future of our democratic self-governance. Because they are not an anomaly - they are the logical endpoint of a society that has applied market capitalism to every aspect of life. And in a world when everything is a wager and nothing is off limits, knowing where the chips will fall matters more than ever.

Prediction Markets and the Future of Democracy

The Big Bet

Palgrave Studies in Marketing, Organizations and Society

This book leverages a value-centered marketing perspective to understand how technology can be used to predict consumer healthcare seeking and perceptions of the healthcare service experiences. It adopts a comprehensive definition of healthcare, encompassing various access points such as primary care, mental health care, cardiovascular care, and ambulatory care, as well as the choice between tele-health and traditional in-office settings.Chapters address topics including the application of artificial intelligence in predicting healthcare access, how the regulatory environment shapes product decisions for AI usage in healthcare, the role of technology in practice settings, and its influence on care-seeking decisions and perceptions of care quality. The volume concludes with discussions on the ethical implications of technology in healthcare delivery.Featuring contributions from leading scholars specializing in the intersection of business, technology and healthcare behaviors, this edited work is an essential resource for researchers and policymakers focused on the impact of technology on consumer well-being and the management of public health systems.Stacey R. Finkelstein
 is Professor of Marketing at Stony Brook University, USA. She earned her PhD and MBA from the University of Chicago Booth School of Business.&nbsp; Her research lies at the intersection of marketing and public policy, addressing questions related to food decision making, healthcare access and utilization, vaccine hesitancy, and how people living in poverty navigate the social services ecosystem. In recognition of her work, she received the American Marketing Association (AMA) Marketing and Society Special Interest Group (MASSIG) Early Career Award in 2019 and the&nbsp;
 Journal of Consumer Affairs
 &nbsp;Best Paper Award in 2021 for her work exploring the impact of omission bias and moral culpability on parents' vaccination plans for their children. She is currently serving as the Joint Editor in Chief of the&nbsp;
 Journal of Public Policy in Marketing
 .

A Value-Centered Marketing Approach

Consumer Healthcare Behavior and Technology

Deliver proven, data-led marketing performance and leadership insight across the modern marketing organization. In the fully updated second edition of Marketing Metrics by Christina Inge, marketing leaders gain the strategic tools needed to build enterprise-grade, data-powered marketing strategies that deliver measurable business results. Written for CMOs, marketing directors and senior analytics leaders, this authoritative guide shows how to translate marketing metrics, data and analytics into informed decision making, stronger governance and clear financial impact. Featuring new content on AI-powered marketing metrics and enterprise analytics capability, this book equips senior professionals with the frameworks and models required to embed measurement into marketing leadership and long-term strategy. You will learn how to: - Implement a data-first marketing strategy aligned with business outcomes - Measure channel, campaign and brand ROI with confidence - Apply AI-powered metrics including predictive customer lifetime value - Build enterprise analytics capability and AI-ready marketing teams &gt;Supported by real-world examples and practical strategic models, this book provides senior marketing leaders with the tools to strengthen accountability, guide investment decisions and deliver measurable marketing performance at scale. Themes include: marketing metrics, marketing ROI, data-driven marketing strategy, AI in marketing analytics, customer lifetime value, marketing leadership

Leverage Analytics, Data and AI to Optimize Marketing Strategies

Marketing Metrics

Platform Supply Chains in the AI Era

Risk Management

Platform Supply Chains 5

How Creators Can Build Brands and Drive Sales

Creator Marketing & Commerce Media

The Unintended Consequences of the AI, Robotics and Biotech Revolution

A Perfect World

The Illusion of Choice

How access is replacing ownership--and changing who we are."You'll own nothing. And you'll be happy. Whatever you want you'll rent." That was the World Economic Forum's number one prediction for 2030, made back in 2016. The timing might be slightly off, but it's undeniably true that ownership is on a significant decline and is creating a tectonic shift from a society of owners to a society of users, renters, and streamers.As a result, we're trading ownership for access, purchases for subscriptions, and possessions for the rights to cloud-stored digital copies. Homeowners are giving way to forever renters, and some have even embraced the life of a digital nomad.This shift is more than just an economic one; it's a profound challenge to centuries of using ownership to form our identity. In fundamental, human ways, we are what we own. So what are we if we don't own much?In Possessions, Carey Morewedge, a leading researcher and powerful voice in behavioral science, marketing, and consumer behavior, leads us on a journey to answer that question. He takes us on a fascinating tour of the rapidly shifting landscape, from a life of creating ownership--possessing things--to a life of "liquid consumption"--life-as-a-service, in which all you possess are your experiences and your brand (and probably a phone). From Delaware goat farms to Australian housing tracts to a Quebec City ice hotel; from an artist in London to a former economist who lived for a time with only his devices and what he could carry on his back, you'll visit places and meet people that show just how complicated and compelling the idea of ownership is, why you value your things so much, and what happens when you can't (or decide not to) own something.As the economy continues to shift toward a reality closer to the World Economic Forum's prediction for 2030, Possessions will help you understand that shift and what it means to all of us--when we own less and use more.

How We Think about Our Stuff, and Ourselves, as We Own Less and Use More

Possessions

The Quantum AI Era of Neuromarketing

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