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Bhupendra Thapa

The Rise of Cashless Economies. Benefits and Risks

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

How AI is transforming consulting and professional services, plus a new model for the future.Artificial intelligence has disrupted the world of expertise. Work that once required teams of highly trained professionals--research, analysis, modeling, and drafting--can now be completed in seconds. For consulting firms, law firms, accounting practices, and other professional-service organizations, the implications are profound. The very activities that have long generated revenue, developed talent, and sustained competitive advantage are rapidly being transformed. How do firms built on human expertise create value in a world where machines can now think alongside us?In The Future of Expertise, innovation expert David Duncan offers a compelling answer. Drawing on more than two decades of experience at McKinsey, at Clayton Christensen's advisory firm, and on the front lines of AI-enabled consulting, Duncan argues that the basic structure of professional-service firms must be reinvented. He introduces a new model for the AI era: a leaner, more agile "obelisk" structure that replaces the traditional professional-services pyramid with smaller, highly skilled teams augmented by AI.Through real-world examples from consulting, law, accounting, and corporate strategy, Duncan shows how AI is reshaping everything from client expectations to firm economics and profitability to talent development and leadership. He examines why the apprenticeship model that was used to train generations of professionals is breaking down, how firms can rethink careers and capability building, and what new forms of value clients will demand as routine expertise becomes automated.Provocative and deeply insightful yet practical, The Future of Expertise is an essential guide for leaders navigating the next era of knowledge work.

AI and the Reinvention of Professional Services

The Future of Expertise

**This edition will be released in March 2027. If you want to get a copy ahead of then, have a look at our hardback edition, released in May 2026.** 'If you're worried about wasting your life, read this book.' Rutger Bregman, author of Humankind A ridiculously in-depth guide to finding a fulfilling and impactful career in an age of AI. You have about 80,000 hours in your career: 40 hours a week, 50 weeks a year, for 40 years. This means your choice of career is the most important decision you'll ever make. Choose well, and you can have a more rewarding, interesting life, and also help solve some of the world's most pressing problems. Choose poorly, and you could waste decades. So what should you do? Most advice is based on no research, instead offering (misleading) platitudes like 'follow your passion'. It's surprisingly out of date, focusing on traditional paths rather than those most likely to thrive in an age of AI. And if you want to help others, the advice is even more simplistic: telling you to choose careers like nurse or doctor, when there are paths in which almost anyone can save more lives. In fact, some careers have hundreds of times more impact than others, but most of us have no idea which ones. Benjamin Todd is the founder of 80,000 Hours, a non-profit that's spent over ten years researching how to have a meaningful and impactful career. Here he introduces a tried-and-tested toolkit framework that has already led thousands of people to change their path. It covers:<ul><li>What really makes for a dream job, and why finding it probably doesn't involve 'following your passion'.</li><li>How to identify which global problems are most pressing, and why they might involve AI as much as climate change.</li><li>Which roles are likely to be automated, and how to ensure yours isn't among them.</li></ul> It's also full of practical tips and tools. You'll come away with a plan to use your 80,000 hours in a way that's rewarding and fulfils your potential to make a difference. 'This career guide is among the most thoughtful and grounded I've seen.' Cal Newport, author of Deep Work 'A remarkably rigorous guide about how to find that perfect career for you.' Ali Abdaal, author of Feel-Good Productivity 'Based on evidence and good sense, not platitudes.' Steven Pinker, author of The Better Angels of our Nature 'The most informative book you can read if you're stuck trying to make one of life's most important decisions.' Hannah Ritchie, author of Not the End of the World

How to Have a Fulfilling Career That Does Good

80,000 Hours

A dramatic new future of work in which managers assemble exactly the expertise they need—within minutes. A USA Today Bestseller Thinkers50 Talent Award Shortlist The Next Big Idea Club: “October 2025 Must-Read Books” 2026 PROSE Award Winner: Business, Finance, and Management 2026 Axiom Business Book Awards: Gold Medal, Business Disruption/Reinvention Shortlisted for the 2026 getAbstract International Book Award, Business Impact category "If you’ve ever wished you could assemble your version of The Avengers at work, this book will help you make it happen.” —Adam Grant, #1 New York Times-bestselling author of Think Again and host of the podcast Re:Thinking Gone are the days of static organizational charts and staffing based on the manager’s rolodex and intuition. Now you can recruit any expertise you need from a global online network within minutes: an on-demand, on-the-spot expert at the exact moment that you need their help. You can right-size their involvement, too; some of those experts give a second opinion or a moment of brainstorming, whereas others join as full-fledged team members for a sustained collaborative effort. This is the future promised by flash teams, a model that The New York Times has already praised for its “revolutionary potential”: a world where experts are available anytime and everywhere, where remote work has become a norm, and where AI is in the loop to guide team decisions. In Flash Teams, award-winning management scholar Melissa Valentine and computer scientist Michael Bernstein chart the opportunities of flash teams and navigate the challenges that teams and managers will face. They distill lessons from their own work assembling and managing flash teams on demand that every manager can learn from so they can successfully use flash teams in their own organizations. Drawing on original research and industry examples, this book will help readers to: <ul><li>Recognize and source needed expertise within minutes</li><li>Anticipate and plan team designs with AI</li><li>Redesign team structures on the fly as projects evolve</li></ul> Industries are already being transformed by this new approach to teaming. Flash Teams arms leaders, managers, and entrepreneurs with the tools they need to accomplish their goals with confidence, speed, and agility.

Leading the Future of AI-Enhanced, On-Demand Work

Flash Teams

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

Emerging Trends in Science, Innovation and Business

"Federated Learning Applications in Healthcare: Empowering Wellness" is an ambitious and timely endeavor aimed at providing a comprehensive exploration of the intersection between federated learning and healthcare.Federated learning, a decentralized machine learning approach that enables model training across multiple devices or institutions without centralized data sharing, holds immense promise for revolutionizing healthcare by facilitating collaboration, preserving patient privacy, and improving healthcare outcomes. This book aims to unravel the complexities of federated learning and demonstrate its transformative potential in various healthcare applications. Through a combination of theoretical insights, practical guidelines, case studies, and real-world examples, the book aims to empower readers to harness the potential of federated learning to address pressing healthcare challenges effectively.Whether readers are healthcare professionals seeking to leverage data-driven approaches to improve patient care, researchers exploring innovative solutions at the intersection of machine learning and healthcare, policymakers grappling with regulatory and ethical considerations, or technologists developing cutting-edge healthcare solutions, this book serves as a valuable resource for understanding, implementing, and advancing federated learning in healthcare.

Empowering Wellness

Federated Learning Applications in Healthcare

Hart Studies in Comparative Public Law

Theory, Practice and Problems

Automation in Governance

This is the updated and expanded edition of the only radical, multidisciplinary, international introduction to intellectual property in its socio-economic contexts. Bringing together voices from law, sociology, economics, political science, and cultural studies from across the Global North and Global South, experts and activists Mat Callahan and Jim Rogers offer a detailed history and analysis of IP before asking critical questions designed to underscore its importance in the broader struggle between capital and the commons. What are the broader implications of IP, whether for agribusiness, pharmaceuticals, education, or entertainment? Is IP law a fundamental pillar of our culture, or has it been used to protect and assert the ownership of, and thus limit, the spread of ideas and creativity? With a chapter structure moving from historical and theoretical foundations to industry-specific conflicts and policy analysis, this book covers the breadth and depth of IP areas, including patents, copyrights, trademarks, and trade secrets, as well as emerging issues such as digital rights and biotechnology. Key features include: - voluminous, up-to-date case studies, both Western and non-Western; - an extensive, jargon-busting list of abbreviations of specialized or technical terms; - a new chapter on copyright and socialism; - revisions and updates accounting for the seismic impacts of artificial intelligence. This is a foundational must-read for all researchers, students, and activists interested in critical analyses of IP laws and policies--not just their legal frameworks, but also their broader social, economic, and political implications.

A Radical Guide to the Past, Present, and Future of the Ownership of Ideas

Rethinking Intellectual Property

An acclaimed New York Times Magazine writer brings us into the world of the controversial technology firm Palantir and its very colorful and outspoken CEO, Alex Karp, tracing the ascent of Big Data, the rise of surveillance technology, and the shifting global balance of power in the 21st century. Palantir builds data integration software: its technology ingests vast quantities of information and quickly identifies patterns, trends, and connections that might elude the human eye. Founded in 2003 to help the US government in the war on terrorism—an early investor was the CIA—Palantir is now a $400 billion global colossus whose software is used by major intelligence services (including the Mossad), the US military, dozens of federal agencies, and corporate giants like Airbus and BP. From AI to counterterrorism to climate change to immigration to financial fraud to the future of warfare, the company is at the nexus of the most critical issues of the 21st century. Its CEO, Alex Karp, is a distinctive figure on the global business scene. A biracial Jew who is also severely dyslexic, Karp has built Palantir into a tech giant despite having no background in either business or computer science. Instead, he’s a trained philosopher who has become known for his strongly held views on a range of issues and for his willingness to grapple with the moral and ethical implications of Palantir’s work. Those questions have taken on added urgency during the Trump era, which has also brought attention to the political activism of Karp’s close friend and Palantir cofounder Peter Thiel. In The Philosopher in the Valley, journalist Michael Steinberger explores the world of Alex Karp, Palantir, and the future that they are leading us toward. It is an urgent and illuminating work about one of Silicon Valley’s most secretive and powerful companies, whose technology is at the leading edge of the surveillance state.

Alex Karp, Palantir, and the Rise of the Surveillance State

The Philosopher in the Valley

When ChatGPT was launched in November 2022, it captured the imagination of the public as well as leading companies, including the banking sector. But as people explored ChatGPT they soon found flaws. Lawyers and judges realised they had relied on non-existent case law. Others discovered that ChatGPT claimed to be the author of books and articles that existed long before it was created. Despite these 'hallucinations', banks remain attracted by the claim that AI can answer and ask questions, generate text, draft emails and translate natural language to code. Customer relations have in some cases been improved by using this technology, thus cutting costs and improving productivity and profits. Drawing on original, candid interviews with senior figures in the sector, How AI will revolutionise banking analyses the risks and challenges to banks and their regulators, as well as proposed solutions to issues such as hallucinations. It offers a comprehensive, up-to-date account of this exciting new technology and what it means for the world of finance.

And what it means for banks and their clients

How AI will revolutionise banking

Turn AI investment into scalable business impact by enabling your workforce to build the solutions they actually need. From AI Users to Solution Builders is a strategic guide for senior AI, technology, and transformation leaders who want to move beyond underperforming, centralized AI initiatives, and unlock real enterprise value. As organizations struggle to translate AI into measurable results, this book shows how shifting from top-down deployment to workforce-led solution building creates faster adoption, stronger ROI, and sustained innovation. Written by experienced AI leader Wei Manfredi, this book combines strategic insight with practical execution. It draws clear parallels between failed digital transformation efforts and current AI adoption challenges, while demonstrating how natural language interfaces are reshaping access to AI. By enabling non-technical professionals to design their own tools, organizations can embed AI directly into workflows, decision-making, and daily operations. You'll learn how to: - Shift from centralized AI models to workforce-driven innovation - Enable employees to build AI solutions for real workflows - Design scalable infrastructure for AI solution development - Apply change management to overcome resistance and drive adoption &gt;Featuring real-world examples from organizations including Lululemon, Google, Oracle, and JPMorgan Chase, this book provides a proven framework for embedding AI into everyday collaboration, accelerating innovation, and future-proofing your organization's competitive advantage. Themes include: AI strategy, AI adoption, workforce transformation, AI governance, enterprise AI, change management

Scaling AI Across Your Organization

From AI Users to Solution Builders

Research in Creative Writing

Writing Human in the Age of AI

The Rise of Cashless Economies. Benefits and Risks

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