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Improving Entrepreneurial Processes
Through Advanced AI

Improving Entrepreneurial Processes Through Advanced AI

International Series in Operations Research & Management Science

This book presents a rigorous, practitioner-ready framework for determining when interventional causal claims can be validly drawn from observational data. By integrating potential outcomes (PO), structural causal models (SCMs), directed acyclic graphs (DAGs), quasi-experimental and longitudinal designs, information-theoretic approaches, and modern machine-learning methods with decision-analytic principles, it identifies necessary conditions for each step of the causal inference process, from defining estimands and identifying causal effects to study design, measurement, estimation, interpretation, robustness, and external validity. The framework is operationalized through practical checklists, tables, diagnostic and falsification tests, and AI-assisted tools, making it accessible across fields such as epidemiology, environmental and occupational health, and regulatory risk analysis. Designed to meet the needs of professionals making high-stakes decisions based on nonexperimental data, the book addresses the lack of clear, testable criteria for credible causal inference. Real-world examples throughout the book illustrate diagnostics, falsification tests, and robustness checks, linking evidence directly to decision-making. Bridging multiple causal frameworks and modern machine-learning methods, it equips readers to assess when data support cause-and-effect conclusions, supporting more responsible, evidence-based policy and risk management.The book offers health risk analysts, epidemiologists, and policy professionals a practical guide to valid causal inference from observational data. It is also ideal for graduate students and workshop participants in data science, decision analysis, risk analysis, and AI/ML applications.

Valid Causal Inference from Observational Data

Corporate Governance in the Age of Artificial Intelligence

Risk, Governance and Society

From Data Analytics to Global Risk Governance

Evolution of Anomaly Detection

Research in Creative Writing

Writing Human in the Age of AI

This book provides a concise and interdisciplinary introduction to sustainable development, examining its historical evolution, legal foundations, and contemporary governance challenges. It traces the emergence of sustainability from early ecological warnings to its institutionalization through international frameworks, demonstrating how sustainable development has become a central organizing principle of global policy.Organized around seven thematic chapters, the book covers the conceptual and legal foundations of sustainability, its core governance principles, socio-technical transition pathways, property and commons theory, global sustainability finance, and the implications of digitalization and artificial intelligence for development. Each chapter integrates legal analysis, governance theory, and, in some cases, real-world case studies to show how sustainability principles move from rhetoric to enforceable norms. Key features include accessible chapter abstracts, a comprehensive list of abbreviations, and a structured list of figures supporting visual learning. The book approaches sustainable development not as a technical toolkit but as a political and institutional challenge requiring systemic reform.The volume is intended for undergraduate and postgraduate students in environmental studies, law, governance, economics, and public policy, as well as researchers, practitioners, and policymakers engaged with sustainability transitions, international environmental law, and development governance.

Governance, Law, and Global Transitions

A Concise Introduction to Sustainable Development

Routledge Studies in Accounting

Implications for Practice, Education, and Research

Generative AI and Agentic Systems in Accounting

Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications

This book introduces cutting-edge computational optimization techniques designed especially for AI enabled systems. These techniques inculcate advanced algorithms with real world applications to enhance efficiency and accuracy. Its focus on the hybrid and ensemble models makes it stand out, presenting novel and creative solutions for the complex problems. Through case studies and real-world applications the book not only highlights the theoretical aspects of the optimization techniques but also provides a link between theory and practice. With the help of clear explanations and practical examples the book empowers the readers to delve into the complex problems and providing optimized solutions leading to enhancing the performance of AI enabled systems.&nbsp;The book explores the advanced computational optimization techniques covering wide range of topics like nature-inspired algorithms, metaheuristics and hybrid optimization methods. This book caters the need of AI researchers, data scientists and machine learning engineers who aim to optimize their models and algorithms. It will be a valuable resource for the academicians and students studying AI and its related subfield. Professionals in the field of finance, healthcare, agriculture, education where AI applications are prevalent, will benefit from the practical insights provided. Overall, it caters to anyone interested in enhancing AI systems through sophisticated optimization strategies.

Computational Optimization Techniques for Artificial Intelligence Enabled Environments

Banking, Money and International Finance

Human-Centred Intelligent Finance

AI, Fintech, and the Future of Global Financial Systems

'Michael Auerbach has one of the most original minds I've ever encountered . . . This is a dazzling and entertaining book . . . But it is also an urgent warning' PATRICK RADDEN KEEFE, author of Empire of Pain A brilliant exploration of the phenomenon of prediction markets that asks: what happens when democracy becomes another commodity? Prediction markets are sweeping the world, fundamentally changing the nature of gambling - and the very ways in which we attempt to divine the future. Posed as binary 'Yes/No' questions about future events, prediction markets allow any difference of opinion - whether on pop culture or politics, wars or assassinations - to be financialised. A regulatory minefield with moral implications that divide nations, governments and bettors, they have proved as effective at accurately predicting the timing of missile strikes as they have at calling the outcomes of elections.But are these markets really a new phenomenon? And what does it mean when those tasked with safeguarding democracy hold financial stakes in its volatility?From Renaissance Rome, where merchants wagered on papal conclaves, through nineteenth-century London's wartime coffee house gossip, to the Pentagon's ill-fated terrorism futures exchange and blockchain-based betting on Polymarket today, The Big Bet tells the gripping five-hundred-year story of a permissive regime that no one designed and no one voted for.Drawing on deep expertise, Michael Auerbach examines how these markets are changing our world, and what they mean for the future where democracy becomes just another commodity to be priced and traded. Because prediction markets are not an anomaly - they are the logical endpoint of a society that has applied market capitalism to every aspect of life. And in a world where everything is a wager and nothing is off limits, knowing where the chips will fall matters more than ever.

Prediction Markets and the Future of Democracy

The Big Bet

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

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

Banking is entering a new era defined by open banking, embedded finance, artificial intelligence, digital assets, and a growing wave of fintech-led innovation. Yet despite significant investment and technological advances, many financial institutions continue to struggle with the same fundamental challenge: how to successfully collaborate with fintechs to create value for customers, shareholders, and society.Drawing on more than 15 years of international experience across banking, fintech, capital raising, and financial services innovation, this book provides a practical roadmap for navigating the rapidly evolving financial ecosystem. Combining insights from Europe, Asia, Africa, and North America, the book examines how banks, fintech founders, investors, regulators, and corporate leaders can build effective partnerships, avoid common pitfalls, and accelerate innovation at scale.Through real-world examples, strategic frameworks, and lessons from successful fintech-bank collaborations, readers will gain a clear understanding of how open innovation is reshaping financial services, why many partnerships fail, and what organizations can do to position themselves for long-term success. The book also explores emerging trends including open banking, embedded finance, digital transformation, venture investment, and the future competitive landscape of financial services.Written for banking executives, fintech entrepreneurs, investors, policymakers, and finance professionals, this book offers an accessible and actionable guide to one of the most important shifts transforming the global financial industry today.&nbsp;Mahi Sall
 is Founder and CEO of FinXpair, a boutique advisory firm specializing in fintech-bank partnerships and capital raising. He has over 15 years of international experience across Europe, Asia, and Africa, spanning banking, fintech, innovation, and financial services strategy. Mahi has held senior leadership roles in the banking sector, including serving as Deputy CEO of a Swiss financial holding company's bank and helping to establish a bank in an emerging market. He has also played a prominent role in advancing fintech innovation, leading the National Crowdfunding &amp; Fintech Association of Canada's thought leadership initiatives supporting the development of Canada's open banking framework and championing Fintech Europe, an open innovation platform connecting leading European banks with fintech innovators through Plug and Play Tech Center. He holds a Master's degree in International Business from the University of Applied Sciences Berlin, a postgraduate qualification in Commercial Banking from L'École Supérieure de la Banque in France, and is a certified public speaker through Toastmasters International.

Banking is entering a new era defined by open banking, embedded finance, artificial intelligence, digital assets, and a growing wave of fintech-led innovation. Yet despite significant investment and technological advances, many financial institutions continue to struggle with the same fundamental challenge: how to successfully collaborate with fintechs to create value for customers, shareholders, and society.Drawing on more than 15 years of international experience across banking, fintech, capital raising, and financial services innovation, this book provides a practical roadmap for navigating the rapidly evolving financial ecosystem. Combining insights from Europe, Asia, Africa, and North America, the book examines how banks, fintech founders, investors, regulators, and corporate leaders can build effective partnerships, avoid common pitfalls, and accelerate innovation at scale.Through real-world examples, strategic frameworks, and lessons from successful fintech-bank collaborations, readers will gain a clear understanding of how open innovation is reshaping financial services, why many partnerships fail, and what organizations can do to position themselves for long-term success. The book also explores emerging trends including open banking, embedded finance, digital transformation, venture investment, and the future competitive landscape of financial services.Written for banking executives, fintech entrepreneurs, investors, policymakers, and finance professionals, this book offers an accessible and actionable guide to one of the most important shifts transforming the global financial industry today.

How to Land and Nurture Thriving Partnerships

Masters of Fintech-Bank Partnerships

Improving Entrepreneurial Processes Through Advanced AI

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