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Brand Creation and Management in the
Phygital Era

Brand Creation and Management in the Phygital Era

How the rise of AI agents--and other forms of autonomous intelligence--will transform every aspect of how companies create value and compete.Companies have long operated with a basic assumption: intelligence is scarce. Talent is limited, expertise is expensive, and good judgment is hard to scale. But that world is ending.AI agents are bringing a new form of labor into the enterprise--one that can work autonomously, learn continuously, and scale instantly. Their embodied counterparts, from drones to humanoid robots, are doing the same in the physical world. Together, these systems are introducing a new economic reality: cognition is becoming cheap, elastic, and abundant.In Abundant Intelligence, Deloitte's Nitin Mittal and futurist Mike Walsh show what happens when intelligence becomes cheap and widely available. Drawing on inside access to the people leading AI transformations at the world's most powerful companies, they uncover how this shift is challenging every assumption about strategy, productivity, and leadership, and what organizations must do now to stay ahead.As abundance becomes the new normal, the leader's job shifts from collecting intelligence to directing it. Those who learn to harness this expanding workforce of digital labor will unlock new levels of speed, creativity, and advantage. For everyone else, the gap will widen fast.

How Digital Labor Will Rewrite the Rules of Business

Abundant Intelligence

Wiley Finance

The handbook to unleash the power of AI in Finance with guidance to pragmatically managing AI Risk Are you ready to harness the transformative potential of artificial intelligence and machine learning in finance while effectively managing the associated risks? "AI and Risk Management in Finance: A Practitioner's Handbook" by Sri Krishnamurthy, CFA, is your indispensable guide. Tailored for financial professionals, this comprehensive handbook delivers practical insights, case studies, and frameworks to navigate the complex landscape of AI and ML in the financial sector. This pragmatic handbook, developed primarily for professionals involved in designing, developing, and deploying AI models in the financial industry explores cutting-edge technologies, regulatory landscapes, and pragmatic frameworks. From generative AI to robust risk management strategies, this handbook equips you with the tools you need to validate models, ensure compliance, and operationalize AI risk management effectively. Leveraging lessons from QuantUniversity's AI and Machine Learning Risk Management program offered in 18 countries, this book focuses on enabling practitioners apply the state-of-the-art AI and machine learning techniques factoring unique risks specific to the financial services domain. Whether you're a seasoned professional or a newcomer, this book offers invaluable insights for harnessing the power of AI responsibly in the financial industry. Highlights of the Book: <ul> <li>Machine Learning and AI in Financial Services: Dive into the fundamentals of ML and AI, exploring various applications within the financial industry through real-world case studies.</li> <li>Generative AI and LLMs in Finance: Understand the emerging landscape, key players, and advanced concepts like prompt engineering and fine-tuning with practical examples.</li> <li>Risk Management for AI/ML Applications: Learn about current and emerging regulatory landscapes, AI risk management frameworks, and legislative efforts shaping the field.</li> <li>Data Governance Issues: Address critical aspects of data quality, privacy, security, and governance, with actionable frameworks and illustrative case studies.</li> <li>Model and System Governance: Gain insights into validating machine learning models, quantifying model risk, and ensuring robust system governance with MLOps and model monitoring.</li> <li>Key Risk Assessment Facets: Focus on documentation, explainability, fairness, security, and reliability with detailed case studies.</li> <li>Verification and Validation: Distinguish between verification and validation and learn frameworks for effective AI application validation.</li> <li>Algorithmic Auditing: Conduct comprehensive algorithmic audits with detailed processes and real-world examples.</li> <li>Operationalizing AI Risk Management: Discover ten essential strategies for implementing AI risk management practices effectively in your organization.</li> </ul> Prepare for the future of finance with expert advice and actionable strategies. Don't miss out on this comprehensive guide-your roadmap to navigating AI and risk management in the financial sector.

A Practitioner�s Guide to Machine Learning, Generative AI, Agentic Systems, and Responsible Deployment

AI and Risk Management in Finance

Innovations in Intelligent Internet of Everything IoE

Biomedical Applications of AI and IoMT in Smart Healthcare

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 behavior Featuring 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

Contributions to Economics

This book is of interest to economists working in applied demand analysis, marketing professionals studying product substitution and complementarity, and policymakers evaluating the effects of taxes, subsidies, and regulatory interventions on consumer behavior. Applying the analytical framework on the internal structure of consumption, this book explores how different categories of consumer spending interact and how these relationships shape the broader structure of consumption.The analyses focus on timely and policy-relevant issues, including the distributional impacts of the COVID-19 pandemic, inflation, the implementation of safe drinking water standards (with particular attention to low-income households), and the potential effects of carbon taxes on consumer expenditures.A key strength of the framework lies in its ability to derive comprehensive arrays of own- and cross-price elasticities from household expenditure survey data—even in the absence of direct price information.

Impacts of Price Elasticities, Saving, and Inflation

Studies in the Internal Structure of Consumption

An executive operating system for leading AI-driven strategic transformation Intelligence as a Commodity: Human Judgment as a Competitive Advantage delivers a structured leadership playbook for executives navigating AI adoption. Written by Rajeev Kapur, who built a billion-dollar business at Dell, and Jason Hunter, a senior consultant for the Blue Ocean Strategy Network, the book moves beyond AI trends to provide actionable frameworks for strategic foresight, organizational redesign, and ethical AI governance at the enterprise level. The book introduces flagship tools including HorizonAI for scenario-based strategic planning, HealthCheckAI for operational resilience assessment, and AI Deep Blue Strategy for AI-driven market innovation. Additional frameworks cover Executive Archetypes, the AI Leadership OS, AI Organizational OS, and Collective Intelligence Framework, each designed to shift organizations from reactive AI adoption to proactive, sustainable competitive positioning. Readers will also find: <ul> <li>Frameworks for assessing AI readiness and prioritizing initiatives across enterprise operations and strategy functions</li> <li>Tools for integrating human-AI collaboration while managing ethical, operational, and governance risk at scale</li> <li>Scenario-based strategic planning methods using HorizonAI to anticipate market shifts and technology disruptions</li> <li>Organizational redesign approaches for building agility and hybrid intelligence into existing leadership structures</li> <li>Guidance on embedding ethical AI governance and risk management into enterprise-wide adoption programs</li> </ul> Written for C-suite executives, directors, entrepreneurs, MBA participants, and consultants overseeing strategy, operations, and innovation, this book provides the frameworks and tools needed to lead AI-driven transformation with clear organizational design, ethical governance, and measurable business outcomes at the enterprise level.

Human Judgment as a Competitive Advantage

Intelligence as a Commodity

Artificial intelligence has crossed the liability Rubicon. It is no longer a backend IT experiment governed by soft ethics, voluntary frameworks, and vague policy statements; it is a material financial asset driving enterprise revenue and unprecedented legal exposure. As we transition into Industry 5.0, algorithms are making autonomous, consequential decisions at machine speed. Yet, corporate boards and risk committees are attempting to govern these gigahertz systems using static compliance checklists designed for a slower, simpler era. The result is a looming crisis of algorithmic discrimination, regulatory friction, and catastrophic reputational decay. When an opaque, black-box model hallucinates financial advice or leaks proprietary trade secrets, the ensuing failure cascade can destroy billions in market capitalization overnight.AI Governance and Risk Management provides the definitive, boardroom-ready blueprint for surviving the fragmented global regulatory dragnet. This book dismantles the illusion of traditional "Human-in-the-Loop" oversight, proving that true algorithmic safety requires hard, architectural constraints. Drawing on decades of technology operations and academic leadership, the text translates classical financial auditing principles into executable machine logic. The author brings unparalleled practical experience-from supporting six Silicon Valley startups in client-facing roles to develop computer vision use cases, to leading over 30 continuous improvement projects for Cisco Systems. Having authored foundational texts on Segregation of Duties (SOD) and Hierarchical SOD two decades ago, and backed by 15 years of teaching financial risk management, this expertise culminates in the AI Integrity Framework (AIIF). This Hamiltonian approach empowers organizations to embed continuous improvement cycles and strict SOD directly into their deployment pipelines.Readers will discover how to engineer automated "Build Breaks," architect deterministic kill switches, and secure the unstructured data supply chain against copyright contamination and intellectual property theft. By shifting from reactive public relations to proactive "Governance as Code," Chief Risk Officers, legal counsel, and audit committees can mathematically prove fiduciary control to regulators across overlapping jurisdictions, from California to the European Union.Authored by a veteran industry practitioner, creator of five previous Wiley &amp; Sons texts, and current developer of the Industry 5.0 and AI curriculum at Santa Clara University, this release is not a theoretical ethics manual. It is an uncompromising operational survival guide. It provides the exact structural tools necessary to transform artificial intelligence from an unquantified off-balance-sheet liability into a fully auditable, legally defensible, and highly profitable enterprise asset.

The AI Integrity Framework (AIIF) for Enterprise Control and Regulatory Compliance

Auditable AI Governance and Risk Management

This book offers an alternate trajectory for EU copyright law. Building on cultural norms in creative communities to reuse, recreate and share, the book proposes a more holistic approach to reconcile conflicting copyright interests. Drawing upon Niklas Luhmann's system theory, John Dewey's theory of art and feminist data theory, it advocates access to, and care within, creative communicative spaces, such as social media platforms or artificial intelligence (AI) data infrastructures, to safeguard creativity and cultural production online. Following a comprehensive assessment of current EU copyright law and related regulation, it proposes a rebuttable presumption of artistic communication to account for the nature of communication between authors, users and the public that safeguards creative reuse. The book isolates the question of remuneration, particularly in AI context, as one of collective socio-cultural value to address wider harms through a cultural commons existing on the border of the EU copyright system. Reflecting on traditional copyright concepts such as authorship, consent and remuneration alongside more novel legal structures like a right of collective informational self-determination, Reshaping EU Copyright Law to Support Creativity Online provides a foundation to reshape how the EU copyright system and its regulatory neighbours adequately respond to new forms of creativity, dissemination, and its use.

Offers an alternate trajectory for EU copyright law to adequately respond to new forms of creativity

Creative Reuse

Reshaping EU Copyright Law to Support Creativity Online

A Guide to Being Human in the Age of AI

Not Every Solution Has A Problem

Research in Creative Writing

Writing Human in the Age of AI

Build category leadership by combining community momentum, AI-enabled strategy and faster brand decision-making. Marketing at Velocity is a strategic implementation guide for senior marketing leaders who want to build brands that compound value, strengthen market position and keep earning relevance in fast-moving categories. Written by brand and marketing strategist Arnt Eriksen, who brings over 30 years of experience, this book connects proven brand-building principles with the systems shaping the next decade of growth. It translates AI, community dynamics, decentralized ownership and strategic speed into practical marketing strategy for enterprise and growth-stage organizations. Drawing on field-tested frameworks including the One Rule Formula, Velocity Loops and the Decentralized Brand Scorecard, this book equips leaders to: - Build compounding brand momentum Apply AI to improve precision - Turn community into strategic advantage - Strengthen leadership through frameworks - Implement practical actions quickly Featuring real-world examples from Nike, Adidas, Lufthansa, Starbucks and other major organizations, Velocity Marketing gives senior marketing professionals the tools to lead with confidence, accelerate learning and build brands that never stop earning their place. Themes include: brand strategy, AI marketing, community-led growth, category leadership, decentralized brands, marketing transformation

B2B Brand Building, Momentum and Category Leadership

Marketing at Velocity

Warum liegt im Einkaufswagen plötzlich mehr als geplant? Warum fühlt sich der Kauf eines neuen Smartphones wie eine existenzielle Notwendigkeit an – das Abschließen einer Zahnzusatzversicherung jedoch nicht? Und warum überzeugt uns eine Marke manchmal mehr als ein objektiv besseres Produkt?Dieses Buch nimmt Sie mit in die Welt des Konsumentenverhaltens – nicht trocken, sondern so, wie sie tatsächlich ist: widersprüchlich, emotional, nur gelegentlich rational, aber stets spannend und erkenntnisreich. Im Zentrum des didaktischen Konzepts stehen Lea und Ben, die Sie in realen Konsumsituationen begleiten – vom Impulskauf bis zum Luxuskonsum. Ihre Erfahrungen bilden die praxisnahe Bühne für Theorien, Modelle und empirische Studien, die Konsumentenverhalten erklären.Sie lernen,<ul><li>wie Motivation, Emotion und Kognition Kaufentscheidungen prägen,</li><li>weshalb die soziale, mediale und physische Umwelt unser Verhalten subtil steuert und</li><li>wie sich diese Prozesse in unterschiedlichen Konsumformen widerspiegeln – vom digitalen und nachhaltigen über kollaborativen und gesundheitsbewussten Konsum bis hin zum Luxuskonsum.</li></ul>Dieses Buch hilft Ihnen zu verstehen, wie Konsumentscheidungen entstehen – bei anderen und bei Ihnen selbst. Fallbeispiele, Studien, Selbsttests und digitale Inhalte sorgen dafür, dass Lernen nicht nur informativ, sondern auch anregend ist.Zusätzliche Fragen per App: Laden Sie die Springer-Nature-Flashcards-App kostenlos herunter und nutzen Sie exklusives Zusatzmaterial, um Ihr Wissen zu prüfen.Die Autoren Prof. Dr. Stefan Hoffmann 
 ist Professor für Marketing an der Christian-Albrechts-Universität zu Kiel.&nbsp;
 Prof. Dr. Payam Akbar 
 ist Wirtschaftspsychologe und Professor für Marketing Intelligence an der Hochschule für Technik und Wirtschaft Berlin.&nbsp;

Warum liegt im Einkaufswagen plötzlich mehr als geplant? Warum fühlt sich der Kauf eines neuen Smartphones wie eine existenzielle Notwendigkeit an – das Abschließen einer Zahnzusatzversicherung jedoch nicht? Und warum überzeugt uns eine Marke manchmal mehr als ein objektiv besseres Produkt?Dieses Buch nimmt Sie mit in die Welt des Konsumentenverhaltens – nicht trocken, sondern so, wie sie tatsächlich ist: widersprüchlich, emotional, nur gelegentlich rational, aber stets spannend und erkenntnisreich. Im Zentrum des didaktischen Konzepts stehen Lea und Ben, die Sie in realen Konsumsituationen begleiten – vom Impulskauf bis zum Luxuskonsum. Ihre Erfahrungen bilden die praxisnahe Bühne für Theorien, Modelle und empirische Studien, die Konsumentenverhalten erklären.Sie lernen,<ul><li>wie Motivation, Emotion und Kognition Kaufentscheidungen prägen,</li><li>weshalb die soziale, mediale und physische Umwelt unser Verhalten subtil steuert und</li><li>wie sich diese Prozesse in unterschiedlichen Konsumformen widerspiegeln – vom digitalen und nachhaltigen über kollaborativen und gesundheitsbewussten Konsum bis hin zum Luxuskonsum.</li></ul>Dieses Buch hilft Ihnen zu verstehen, wie Konsumentscheidungen entstehen – bei anderen und bei Ihnen selbst. Fallbeispiele, Studien, Selbsttests und digitale Inhalte sorgen dafür, dass Lernen nicht nur informativ, sondern auch anregend ist.Zusätzliche Fragen per App: Laden Sie die Springer-Nature-Flashcards-App kostenlos herunter und nutzen Sie exklusives Zusatzmaterial, um Ihr Wissen zu prüfen.

Konsumenten verstehen – Marketingmaßnahmen gestalten

Konsumentenverhalten

Brand Creation and Management in the Phygital Era

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