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Olsen J: Predict to Win: Business
Leaders' Edge

Predict to Win: Business Leaders' Edge

Drama in the workplace is natural, toxic, and optional. Most teams don’t fail because they lack drive or expertise. They break down under the slow grind of drama. Not the explosive kind, but the everyday, compounding frictions that everyone feels and no one names: meetings that go nowhere, issues that never get resolved, and tensions that sap energy and engagement. This “drama tax” erodes trust, stalls decisions, and diminishes performance, often right when the business stakes are highest. No Drama Teams is an intensely actionable guide to recovering this lost momentum. Told through the unfolding story of a real team under enormous pressure, the book shows scene-by-scene how drama is created and how it can be dismantled in real time. Along the way, renowned leadership coaches Diana Chapman and Jim Dethmer share their proven drama-busting tools, like recognizing when you're stuck on the drama triangle, “teaching the class” to end repeating problems, and making clean agreements that people actually keep. Part narrative, part guidebook, the book culminates in a six-month plan that anyone in any industry can use to replace blame with ownership, avoidance with candor, and drag with traction. Every team is paying for drama, whether they see it or not. No Drama Teams will show you how to cut the cost so you can get the full return on your time, energy, and talent.

Drama in the workplace is natural, toxic, and optional. Most teams don’t fail because they lack drive or expertise. They break down under the slow grind of drama. Not the explosive kind, but the everyday, compounding frictions that everyone feels and no one names: meetings that go nowhere, issues that never get resolved, and tensions that sap energy and engagement. This “drama tax” erodes trust, stalls decisions, and diminishes performance, often right when the business stakes are highest. No Drama Teams is an intensely actionable guide to recovering this lost momentum. Told through the unfolding story of a real team under enormous pressure, the book shows scene-by-scene how drama is created and how it can be dismantled in real time. Along the way, renowned leadership coaches Diana Chapman and Jim Dethmer share their proven drama-busting tools, like recognizing when you're stuck on the drama triangle, “teaching the class” to end repeating problems, and making clean agreements that people actually keep. Part narrative, part guidebook, the book culminates in a six-month plan that anyone in any industry can use to replace blame with ownership, avoidance with candor, and drag with traction. Every team is paying for drama, whether they see it or not. No Drama Teams will show you how to cut the cost so you can get the full return on your time, energy, and talent.

No Drama Teams

Contributions to Management Science

This edited volume explores how managerial perspectives can shape meaningful and satisfying organizational experiences in the context of evolving structures and sustainability challenges. While management research often draws on organizational theories such as institutional or agency theory, the exchange between organization studies and sustainability remains limited. This book bridges that gap by using sustainability as a critical lens through which to understand organizational behavior, legitimacy, and long-term strategy.Addressing topics such as corporate social responsibility (CSR), corporate citizenship, sustainability strategy implementation, and the management of complex multi-stakeholder relationships, this book emphasizes the need for scholarship that addresses environmental, organizational, and socio-economic issues across multiple levels, advocating for solutions that are integrated, inclusive, and transformative.

Models and Practices

Sustainable Organizations

Dual-Class Share Structures and Listing Reform in the UK, US, and China

Regulatory Alignment

Chapman & Hall/CRC Texts in Statistical Science

From Alan Turing breaking the Enigma code to ChatGPT reshaping how we work and create, artificial intelligence has always been powered by a single unifying principle: learning from data under uncertainty. This book reveals the mathematical machinery behind modern AI, weaving together Bayesian probability, statistical learning, and deep neural networks into a coherent intellectual framework. Whether you seek to understand why large language models hallucinate, how recommendation systems predict your preferences, or what makes reinforcement learning agents master complex games, this book equips you with both the theoretical foundations and practical intuitions that define the modern AI playbook.Key Features:<ul> <li>Builds Bayesian reasoning from first principles through historical examples like submarine search and WWII code-breaking</li> <li>Bridges classical statistics and deep learning, connecting linear regression to transformers</li> <li>Covers the complete AI stack: probability, decision theory, Gaussian processes, neural networks, CNNs, NLP, and LLMs</li> <li>Emphasizes uncertainty quantification-building systems that know what they don't know</li> <li>Practical applications across finance, healthcare, operations, and autonomous systems</li> <li>Emerging topics: AI agents, RLHF, and retrieval-augmented generation</li> </ul>Written for graduate students, data scientists, and quantitatively-minded practitioners, this book assumes comfort with calculus and basic probability while building sophisticated intuitions progressively. Business analysts will appreciate the decision-theoretic framing; engineers will value the architectural insights; researchers will find rigorous foundations for further study. Whether used as a course textbook, professional reference, or intellectual companion for understanding the AI revolution transforming every industry, this book delivers the rare combination of mathematical depth and accessible exposition that makes complex ideas genuinely understandable.

Foundations of Data Science

Bayes, AI, and Deep Learning

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

Turn enterprise AI into a source of strategic insight, not just productivity gains.The AI Gap by leading AI expert and keynote speaker Richard Foster-Fletcher shows business and technology leaders how to unlock greater value from enterprise AI by changing the structures, processes and culture surrounding it. Organizations invest in AI expecting new intelligence and transformative insights. Yet AI is often introduced through procurement, security, legal and compliance systems designed for standard software, restricting its potential before it can deliver on that promise. This book explains why this gap persists and what organizations must change to close it. You'll learn how to: - Identify organizational barriers limiting the value of AI - Move beyond productivity-focused AI implementation - Create conditions where AI can generate deeper insights - Enable employees to explore, experiment and challenge established thinking &gt;The AI Gap equips leaders to rethink AI implementation, create space for experimentation and turn artificial intelligence into a powerful driver of organizational insight and long-term business value. Themes include: enterprise AI, AI implementation, AI strategy, business transformation, organizational culture, AI innovation

How Business Decisions Expand What AI Can Do

The AI Gap

The Shingo Model Series

Designing Systems That Shape Workplace Culture and Performance

Build Excellence

DK Little Book of

Discover more than 60 of the most important ideas, strategies, and milestones in the field of business in this accessible and innovative pocket-sized guide. From the earliest forms of trade and the invention of money to Adam Smith’s “invisible hand” and Henry Ford’s assembly line, and from the rise of corporate strategy to modern digital marketing, consumer psychology, the gig economy, and sustainable commerce, The Little Book of Business examines the philosophies and practices behind global industries and successful start-ups. Packed with infographics and flowcharts that explain complex concepts in a simple but exciting way, The Little Book of Business offers you the perfect introduction to the subject in a portable format perfect for reading on the go.

Discover more than 60 of the most important ideas, strategies, and milestones in the field of business in this accessible and innovative pocket-sized guide. From the earliest forms of trade and the invention of money to Adam Smith’s “invisible hand” and Henry Ford’s assembly line, and from the rise of corporate strategy to modern digital marketing, consumer psychology, the gig economy, and sustainable commerce, The Little Book of Business examines the philosophies and practices behind global industries and successful start-ups. Packed with infographics and flowcharts that explain complex concepts in a simple but exciting way, The Little Book of Business offers you the perfect introduction to the subject in a portable format perfect for reading on the go.

The Little Book of Business

How Small but Mighty Teams Overcome the Odds

David vs. Goliath

A practical introduction to designing and managing contemporary visitor attractions. Visitor Attraction Management by Carol Southall, Amanda Payne and Frances-Marie Hitchen is written for undergraduate students studying Tourism, Hospitality and Events Management who need a clear and applied understanding of how visitor attractions are created, operated and sustained. This textbook supports students by linking tourism management frameworks with the realities of a fast-changing global attractions sector. The book explores the full spectrum of visitor attractions, from theme parks and cultural museums to luxury eco-resorts and emerging digital experiences. It examines how memorable visitor experiences are designed and managed, how attractions operate day to day and how branding, promotion and innovation shape competitiveness. This textbook includes: - Clear explanations of different types of visitor attractions and experience design principles - Coverage of attraction operations, service quality and risk management - Branding and promotion strategies for marketing attractions and experiences - Discussion of emerging technologies and entrepreneurial innovation - In-text learning features, including learning outcomes, scenario planning activities, research tasks and critical debate questions With expanded real-world examples from destinations including Petra and Venice, attractions such as Alton Towers, Walt Disney World and the British Museum, and digital innovations like the Terracotta Warriors AR Experience in China, this textbook equips students with the knowledge and confidence to prepare for careers in tourism and visitor attractions management.

Predict to Win: Business Leaders' Edge

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