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Patil A: The Decision Gap

The Decision Gap

Why Organizations Invest in Data and AI but Still Struggle to Make Better Decisions

The Tactical Guide to Company Building

The Great CEO Within

Explore how autonomous AI agents are transforming financial markets and decision-making&nbsp; In&nbsp;Agentic Finance: Mathematics, Architecture, and Governance for AI Agents in Finance,&nbsp;Miquel&nbsp;Noguer&nbsp;Alonso and David Pacheco Aznar examine the emerging field where autonomous AI systems&nbsp;operate&nbsp;independently in financial contexts. The book explores how agentic technologies&nbsp;-&nbsp;AI systems capable of independent reasoning, planning, and action&nbsp;-&nbsp;are reshaping how financial institutions approach analysis, trading, and risk management.&nbsp; The book&nbsp;explores&nbsp;the mathematical foundations powering autonomous AI agents, from the algorithms enabling independent decision-making to the frameworks governing multi-agent financial systems. Readers gain insight into how innovators are applying these technologies across trading, portfolio management, and market analysis, along with the technical principles driving this transformation.&nbsp; Readers will also discover:&nbsp; <ul> <li>The core mathematical concepts underlying autonomous AI systems, including reinforcement learning, optimization, and probabilistic reasoning frameworks&nbsp;</li> </ul> <ul> <li>How leading innovators are deploying agentic AI across trading, risk assessment, portfolio optimization, and financial forecasting applications&nbsp;</li> </ul> <ul> <li>Technical architectures enabling AI agents to&nbsp;operate&nbsp;autonomously while&nbsp;maintaining&nbsp;appropriate oversight&nbsp;and governance in financial environments&nbsp;</li> </ul> <ul> <li>Real-world applications&nbsp;demonstrating&nbsp;how autonomous systems analyze markets, execute strategies, and adapt to changing conditions&nbsp;</li> </ul> <ul> <li>The evolving regulatory and ethical landscape surrounding autonomous AI decision-making in high-stakes financial contexts&nbsp;</li> </ul> Agentic Finance&nbsp;serves quantitative analysts, financial technologists, AI researchers, portfolio managers, and business leaders&nbsp;seeking&nbsp;to understand how autonomous AI systems are transforming financial services. It provides the technical foundation needed to evaluate and implement agentic technologies.

Mathematics, Architecture, and Governance for AI Agents in Finance

Agentic Finance

Two former Walt Disney Imagineering leaders and designers take on a major gap in team leadership: the lack of a reliable method for collaboration that consistently drives success, innovation, and efficient problem-solving while also minimizing burnout and interpersonal friction. Drawing on their experience at Walt Disney Imagineering and additional work with companies such as Sony, Heineken, and Mattel, Tricia Cerrone and Edward J. van Luinen, Ed.D share a practical approach leaders can apply in any industry, on any team, right away. At Disney, Tricia and Edward were tasked with co-leading a global high-stakes, multi-year initiative across 120+ disciplines; in the process of uniting creative, technical, and operational teams around shared outcomes, they developed and later refined the collaborative leadership skills and repeatable method presented in this book. Their simple, human approach centers on five everyday behaviors-Generosity, Resourcefulness, Co-Creation, Action, and Gratitude-guided by Noble Purpose and an Instant Implementation Roadmap. The result is a clear, step-by-step way to build trust, unlock ideas, move faster, and sustain energy without new software, restructures, or big budgets. And the ripple effects are powerful: greater innovation, faster decisions, healthier culture, organic professional growth, more resilient people, stronger ROI, and higher engagement. Inside you'll get: A repeatable method that fits any leadership style or team structure. Stories and examples from Disney and beyond that show the method in action. Immediate techniques for safer teams, better brainstorms, quicker pilots, and meaningful recognition. A plan to scale collaboration and overcome common barriers like ego, silos, and burnout.

A Roadmap to Stronger Leaders, Happier Teams, and Big Results

Collaborate to Compete

AI as Your Co-Founder

The Sentient Startup

Half your newsfeed says you're hopelessly behind on AI. The other half says it's a sham. Both are engineered to make you click - and both lead to the same place: paralysis. Because what passes for AI expertise right now is mostly a temporary information advantage masquerading as expertise. *Fair Game* is the way out. Rob Collie knows that paralysis firsthand. As CEO of a data consulting firm, he watched AI threaten to upend the very business he'd spent a decade building. When fear finally drove him to dig in, what he discovered was unexpected: AI success isn't really about AI. It's about data - and the software around it. Problems he's been solving for thirty years. This book is the distillation of what Collie and his team learned building real AI solutions for real businesses - not theorizing from a stage. *Fair Game* walks you through how AI systems actually work, not at the PhD level, and not at the hand-wavy keynote level, but at the Goldilocks level where real decisions get made. You'll learn: - A five-part recipe for AI success you can apply to any project - Why successful AI is always custom AI - and why "custom" is less scary than it sounds - How to evaluate any AI proposal, hire the right team, and know when you're being sold snake oil You'll understand everything from how LLMs actually work to why your proprietary business knowledge is the one thing AI can't get on its own - all without jargon and using analogies you'll actually remember. Each chapter ends with a practical cheatsheet you can bring to your next meeting. By the time you've finished, the five-part recipe won't feel like a framework. It'll feel like common sense. You don't need to become an engineer. You need to become an architect - someone who knows what to build, what to demand, and what to call BS on. Because AI isn't out of reach. It's fair game.

Customizing AI to Your Business Is Easier Than You Think

Fair Game

In The Four Paradigms in Economics: Theories, Concepts, and Analytical Tools, Kavous Ardalan demonstrates how these four paradigms explain any economics phenomenon differently, and therefore, together they provide a broader and deeper understanding of the economic phenomenon under consideration. The main theme of The Four Paradigms of Economics is that social theory can usefully be conceived in terms of these four key paradigms: functionalist, interpretive, radical humanist, and radical structuralist. The four paradigms are founded upon different assumptions about the nature of social science and society, and therefore, provide different explanations of any phenomenon. The book also looks at the major prevailing schools of thought in economics (Neo-Classical Economics, New Institutional Economics, Behavioral Economics, Austrian Economics, Post-Keynesian Economics, Institutional Economics, Social Economics, Radical Economics, and Marxist Economics) from the point of view of the four paradigms and locates them within the four-paradigm framework.

Theories, Concepts, and Analytical Tools

The Four Paradigms in Economics

TURNING STRATEGY INTO COORDINATED ACTION IN THE AGE OF AI

ORCHESTRATING THE FUTURE

Beyond Progress series

In a world where working practices are increasingly transient and technological advancement is moving at breakneck pace, the ability to adapt and learn quickly has never been more important. This ability is known as learning agility. It is about having the motivation to rapidly learn from experience and to modify, experiment and apply that learning to meet a need, often in an unfamiliar situation or context. It requires the mind and skillsets to engage with change, take risk and adapt to solve problems creatively and quickly. This book uses the authors' Intero Model, which draws on learning theory, neuroscience and psychology, to explain this vital workplace skill to those looking to cultivate it themselves and leaders who want to develop it in their teams. Full of practical guidance, this book is an essential resource on the most important workplace skill of the day.

Unlearn Habits, Absorb Information and Perform in Ever-Changing Environments

Learning Agility

In a world of tremendous change, uncertainty, and simplistic AI-driven answers, it is easy to look to an uncertain future with anxiety. In The Leader's Oracle, Chief Strategy and Innovation Officer Roopa Unnikrishnan shows that the wisest leaders instead look to the ancient past for inspiration. By channeling the Oracle of Delphi, these leaders ask better questions and challenge their organizations to transform. Offering a provocative lens on the future of strategic leadership, The Leader's Oracle is not just a book about strategy—it is a call for a cultural shift in how we lead, how we think, and how we build organizations. Through this uniquely powerful framework, readers examine and harness the timeless wisdom of the ancients to help their own business and career: <ul><li>operate at the edge of clarity</li><li>interpret patterns and possibilities</li><li>provoke transformation, not comfort </li><li>serve the powerful, but answer to the truth</li><li>protect future-facing wisdom in a reactive world</li></ul> This unique framework on business strategy and leadership explores a critical paradox in today’s corporate environment: in a world obsessed with operational excellence and short-term wins while struggling with historic transformational changes, we often neglect the voices of the long-term thinkers, the strategic questioners, the ones who highlight or introduce ambiguity to force clarity. The Leader's Oracle serves as a call to arms for leaders, board members, and aspiring strategists to embrace their inner Delphic voice—one that cuts through noise, evokes questions, and drives tectonic shifts, not just tactical maneuvers.

Using Ancient Wisdom to Improve Strategy and Decision-Making

The Leader's Oracle

We all know what it's like to hold back from making a decisive move, offering our most candid feedback, or even advocating for ourselves because it was easier and safer to take the well-travelled path - but these are also the hinge points that transform reputations, relationships, and results.Drawing on a landmark seven-year study of 34,000 people, JP Pawliw and Bill Benjamin reveal a consistent pattern: in high-stakes moments people hold back an average of 7.56% of what can make the crucial difference between 'taking your shot' and regret at failing to do so. Rounded, they call this gap the 'Last 8%'. The book explores the brain function reasons for this gap and equips readers with effective tools to close the gap. Blending neuroscience, behavioural research, and stories from astronauts, Olympic athletes, Fortune 100 executives, and frontline professionals, THE LAST 8% provides a practical roadmap for acting with decisiveness in pressure situations.It teaches individuals to regulate their biology in the heat of the moment, while also offering leaders a proprietary framework - the Last 8% Culture Map - to build teams and organisations where candour, accountability and trust drive performance.

The Last 8%

Routledge Studies in Accounting

Intellectual Capital (IC) has become synonymous with the Knowledge Economy, whereby the intangible resources of organisations are linked to the development of value. However, take up has been problematic, causing some pundits to question if it's simply 'locked' in theory. This book seeks to 'unlock' IC by offering a practical understanding of the IC paradigm since its inception, and takes a critical and performative examination of IC research and practices, whilst offering practical examples of how to implement it successfully. Viewed from both an academic and practioner perspective, this book is useful for students and wanting to apply IC effectively.

Unlocking Intellectual Capital

The Benefits of Not Making Up Your Mind

Indecision

The Decision Gap

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