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Catalogue complet

The Quantum AI Era of Neuromarketing

The Growth Strategy Your Competitors Cannot Copy

Your Business Is Your Story

From Ann Handley, Wall Street Journal bestselling author of Everybody Writes, comes a smart, timely, clear-eyed guide to knowing when to speed up, when to slow down, and when the shortcut costs more than it saves. You already know how to go fast. What nobody taught you is when not to. In ASAP: As SLOW As Possible, Ann Handley rebels against the false urgency baked into modern work and life—and shows you how to recognize Slowments: the moments when slowing down is not weakness, hesitation, or delay. It's the smarter move. Because when everyone has access to the same shortcuts, the real edge is knowing when not to take them. With research, brain science, vivid storytelling, and Handley’s signature wit, ASAP: As SLOW As Possible reveals the hidden speed traps that weaken our judgment, creativity, and original thinking—especially in an age when AI makes the fastest path feel like the smartest one—and gives you a practical way to know when speed is serving you and when it’s taking you farther from what matters. You'll discover: <ul><li>The Hasty Progress Illusion—why motion can feel like mastery, even when nothing lasting is taking hold</li><li>The ASAP Matrix—how to know exactly when to autopilot, when to pause, and when a moment deserves more of you</li><li>The six Slowments in life and in work—the pivotal moments when slowing down changes what happens next</li><li>How to protect your judgment in a world eager to outsource it</li><li>When choosing analog leads to sharper ideas, wiser decisions, more creative approaches, stronger relationships, and meaningful work</li><li>How to stop confusing speed with progress—and start choosing the pace the moment actually requires</li></ul> ASAP: As SLOW As Possible reveals slowness as a generative force and for the first time gives you a way to harness life’s most important slow moments. Not by doing less, opting out, or becoming the kind of person who ferments things in a shed. But by knowing when speed helps—and when it hollows out the very thing you hoped it would serve. It’s time to choose the long road when the shortcut costs too much.

From Ann Handley, Wall Street Journal bestselling author of Everybody Writes, comes a smart, timely, clear-eyed guide to knowing when to speed up, when to slow down, and when the shortcut costs more than it saves. You already know how to go fast. What nobody taught you is when not to. In ASAP: As SLOW As Possible, Ann Handley rebels against the false urgency baked into modern work and life—and shows you how to recognize Slowments: the moments when slowing down is not weakness, hesitation, or delay. It's the smarter move. Because when everyone has access to the same shortcuts, the real edge is knowing when not to take them. With research, brain science, vivid storytelling, and Handley’s signature wit, ASAP: As SLOW As Possible reveals the hidden speed traps that weaken our judgment, creativity, and original thinking—especially in an age when AI makes the fastest path feel like the smartest one—and gives you a practical way to know when speed is serving you and when it’s taking you farther from what matters. You'll discover: <ul><li>The Hasty Progress Illusion—why motion can feel like mastery, even when nothing lasting is taking hold</li><li>The ASAP Matrix—how to know exactly when to autopilot, when to pause, and when a moment deserves more of you</li><li>The six Slowments in life and in work—the pivotal moments when slowing down changes what happens next</li><li>How to protect your judgment in a world eager to outsource it</li><li>When choosing analog leads to sharper ideas, wiser decisions, more creative approaches, stronger relationships, and meaningful work</li><li>How to stop confusing speed with progress—and start choosing the pace the moment actually requires</li></ul> ASAP: As SLOW As Possible reveals slowness as a generative force and for the first time gives you a way to harness life’s most important slow moments. Not by doing less, opting out, or becoming the kind of person who ferments things in a shed. But by knowing when speed helps—and when it hollows out the very thing you hoped it would serve. It’s time to choose the long road when the shortcut costs too much.

When to Take the Long Road in a Shortcut World

ASAP: As Slow as Possible

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

Build a resilient, high-performing organization by integrating agentic AI into strategy, operations, and decision-making. Building an Agentic Organization is a strategic guide for senior technology, AI and business leaders responsible for delivering value from agentic AI while managing its risks. As organizations move toward human and AI collaboration at scale, leaders must balance innovation with governance, adoption, and long-term economic impact. Written by experienced AI executive Geoffrey Schaefer, this book provides a comprehensive framework for designing an agentic organization by examining strategy, governance, and economics. It explores how to define the purpose of agentic AI, align it with business objectives, and create the structures needed to support safe, scalable adoption. Addressing both opportunity and risk, it equips leaders to navigate workforce concerns, reputational exposure, and the evolving role of AI agents in enterprise environments. You'll learn how to:- Define a clear strategy for integrating agentic AI- Establish governance frameworks to manage risk and accountability- Drive workforce adoption and address resistance to AI collaboration- Assess economic value and impact of agentic AI systems- Manage reputational and operational risks from AI agent behaviorFeaturing real-world examples from Leidos, JPMorgan Chase, SY Partners, and OMA, this book provides a practical roadmap for embedding agentic AI into the fabric of your organization while protecting value, trust, and long-term performance. Themes include: agentic AI, AI strategy, AI governance, AI transformation, enterprise AI, risk management

The Strategy, Governance, and Economics of Agentic AI

Building an Agentic Organization

Leading experts on greenwashing offer a playbook for achieving competitive advantage by combatting misleading claims and building trust. Greenwashing has reached epidemic proportions, and consumer confidence in business sustainability commitments is falling. Those most affected by greenwashing are genuine green firms, and companies truly committed to sustainability goals can find it hard to communicate their commitments and distinguish themselves in this sea of greenwash. These companies need to confront their rivals head on to win the trust of stakeholders. From Greenwash to Green Trust offers a new paradigm for how to gain and maintain competitive advantage in a world of exaggerated green claims. &nbsp;&nbsp;Building on more than a decade of research on greenwashing, Tom Lyon and Wren Montgomery offer a three-step approach for companies determined to rise above their greenwashing competitors:&nbsp;&nbsp; <ul> 	<li> 		Understand why trust has been broken: First, learn how greenwashing works, and hurts, in today's world.&nbsp;&nbsp; 	</li> 	<li> 		Build trust: Then, look in the mirror, acknowledge your own shortcomings, and substantiate your company's commitment to sustainability goals. 	</li> 	<li> 		Leverage trust: Finally, create powerful relationships to outcompete greenwashers and turn integrity into lasting advantage. 	</li> </ul> In the end, the message of From Greenwash to Green Trust is a positive one. While there are plenty of businesses doing the "right" thing on sustainability, with this novel strategic approach to beating greenwashing, businesses can center transparency and trust—to restore consumer confidence and support rapid growth.

How Honest Firms Win in a World of Spin

From Greenwash to Green Trust

What separates brands that lead their category from those still chasing it? Velocity - directional momentum built through community, AI and strategic speed. Velocity Marketing provides mid to senior marketing professionals with a comprehensive implementation system for building brands that compound. This practitioner's field manual bridges three decades of traditional brand-building principles with the systems, behaviours and community dynamics building the most valuable brands of the next decade. It translates complex emerging technology - AI, community mechanics, decentralised ownership - into immediately actionable marketing strategy. Drawing on field-tested frameworks including the One Rule Formula, Velocity Loops and the Decentralised Brand Scorecard, every chapter delivers strategic depth alongside practical 'Monday Morning Moves' that teams can implement within days. Featuring real-world examples from Nike, Adidas, Lufthansa, Starbucks and other major organisations, this book demonstrates how forward-thinking brands are building compounding momentum through community collaboration, AI-enhanced operations and velocity-driven learning systems. Whether you lead marketing at a Fortune 500 enterprise or a growth-stage mid-market organisation, Velocity Marketing is the definitive implementation guide for building brands that never stop earning their place.

B2B Brand Building, Momentum and Category Leadership

Marketing at Velocity

AI and Constitutional Law in Europe

Democracy in the Age of Disinformation

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

Series on Innovation and Knowledge Management

Communication And Knowledge Transfer: Theories And Cases In Journalism, Public Relations And Advertising

Reviving an Iconic Brand

A Levi's Story

Understand how artificial intelligence is transforming marketing strategy and practice. Artificial Intelligence in Marketing by Kshitij Bhoumik is designed for upper-level undergraduate and postgraduate students studying AI in marketing, digital marketing and contemporary marketing strategy. Bridging the gap between technical capability and marketing decision-making, this textbook considers how AI supports segmentation, targeting, personalization, content creation and performance analysis. From generative AI in campaign development to predictive analytics and social media trend detection, students explore how AI tools enhance marketing effectiveness while maintaining brand integrity and customer trust. Reflective questions and applied exercises at the end of chapters challenge students to engage with current AI tools to create their own marketing content and strategies. This textbook includes: - Clear explanations of foundational marketing principles applied through AI - Structured ethical debates and critical thinking activities in every chapter - Real-world examples from global brands such as Bloom &amp; Wild, Monzo, Heinz, Glossier and Duolingo to illustrate how theory translates into measurable business outcomes &gt;Whether preparing for assessment or building future-ready marketing expertise, Artificial Intelligence in Marketing provides students with the analytical skills and strategic confidence to apply AI responsibly and effectively in modern marketing practice.

Theory, Ethical Practice and Strategy

Artificial Intelligence in Marketing

India Studies in Business and Economics

This book presents a comprehensive study that conducts a data-driven performance benchmarking exercise for regional school education systems in India, with a clear focus on highlighting disparities and challenges within these systems, as well as providing targeted policy recommendations for potential improvements. The book conducts an in-depth examination of the educational environment, current status, policies, and interventions across schools. It explores why, despite various national initiatives aimed at improving access to and quality of school education, significant gaps persist across Indian states, particularly in the two most populous states, Uttar Pradesh and Bihar, which face a range of economic challenges.The book evaluates rankings and efficiency variations in school education development and develops a novel nonparametric efficiency-effectiveness framework to analyze the performance of the school education system. In addition to employing a state-of-the-art meta-BoD-RDM framework for constructing a school education development index, the empirical analysis employs a two-stage network Data Envelopment Analysis (NDEA) model using survey-based data from schools in India to compute school-wise efficiency and effectiveness scores. These scores are then integrated with a machine learning-based Random Forest algorithm to identify the key factors behind the observed inter-school variations in school efficiency and school effectiveness. The book also discusses progress in school education development during the COVID-19 pandemic. It identifies several key areas that require policy intervention and urgent attention from educationists and governments. This data-enabled benchmarking and analytical study not only contributes to understanding the current landscape but also supports the formulation of future educational policies aimed at effectively addressing the evolving needs of the school education system in India.

Data-Driven Benchmarking of School Education Systems in India

The Quantum AI Era of Neuromarketing

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