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Revolution of AI and Machine Learning
for Design and Automation

Revolution of AI and Machine Learning for Design and Automation

'An excellent look at what Palantir does, as well as a fascinating insight into the mind of its eccentric chief executive' TelegraphPalantir Technologies is the most interesting company in the world -&nbsp;and the most controversial.&nbsp;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 U.S. 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 U.S. military, the National Health Service in England, and corporate giants like Airbus and BP. From AI to counterterrorism to climate change to immigration to financial fraud to healthcare to the future of warfare, the company is at the nexus of the most critical issues of the twenty-first century.&nbsp;Its billionaire 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 co-founder Peter Thiel.&nbsp;In The Philosopher in the Valley, journalist Michael Steinberger is the first to tell the story of Alex Karp and Palantir from the beginning. Steinberger offers new biographical details and a rich psychological portrait of the man leading one of the world's most secretive companies. Full of revelations, this is an urgent and insightful book about technological power, the surveillance state and the future we all face.

Alex Karp, Palantir and the Rise of the Surveillance State

The Philosopher in the Valley

Mastering Business Analytics

Data Analytics for Strategic Decisions explores how businesses can harness the power of data, technology, and analytics to make strategic decisions that drive growth and innovation. It provides a comprehensive guide to integrating business strategy with data-driven methodologies, offering practical tools and insights for modern organizations.Readers will gain a deep understanding of how to transform data into actionable insights, improving decision-making across marketing, finance, operations, and strategy. The book combines theoretical foundations with real-world applications, including case studies, datasets, and practical exercises. It also addresses emerging topics like AI, predictive analytics, and data governance, ensuring readers are equipped with cutting-edge knowledge and skills.This book is designed for undergraduate and master's students in Business Administration, Business Analytics, and Digital Transformation, as well as professionals seeking to enhance their data-driven decision-making capabilities. It is ideal for courses in Business Analytics, Data Analytics for Business, Business Intelligence, and Digital Transformation.The book includes supplementary materials such as datasets for practical exercises, case studies, and discussion questions, making it suitable for both classroom and online learning environments.

Fundamentals of Business Technology and AI Integration

Data Analytics for Strategic Decisions

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

The Promise and Peril of Navigating Our Agentic AI Future

When Machines Act

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

The Art Law Library

This open access book investigates the role played by copyright on the digitisation of cultural heritage from three angles: the theoretical differences between cultural property law and copyright; a comparative analysis of the EU, UK, and US; and analysis of current practices and concerns, based on empirical research. As heritage digitisation projects become increasingly common for purposes such as preservation and access, the impact of copyright is also becoming more problematic. In order to provide a full and current picture of the copyright problem, the book first introduces the reader to the debates on the scope and ownership of cultural heritage and provides an overview of the copyright implications of the digitisation process and newer uses, including 2D and 3D scanning; virtual and augmented reality; text and data mining; and artificial intelligence. The author then divides the main critical analysis into three parts, referred to as the 'clashes with copyright'. The first, clash in theory, lies between cultural property law and copyright justification theories. The second clash is in the different legal approaches to digitising in-copyright, public domain, orphan, out-of-commerce and unpublished works in the chosen jurisdictions, focusing on the relevant rights and defences. The third clash is in the interests of stakeholders, based on public reactions to existing projects and cases, supported by interviews with heritage professionals engaging in digitisation. By placing itself in this particular intersection of law, heritage, and technology, the book will be of interest to both intellectual property academics and cultural heritage professionals. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com.

Clashes with Copyright Law

Digitising Cultural Heritage

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

Humanity's most spectacular era yet is increasingly within reach.So why are we doing everything we can to hold it back?The bestselling author of The Rational Optimist delivers a daring vision of the future - one that is potentially dazzling, but only if we stop sleepwalking into self-inflicted decline.We're on the brink of a truly spectacular explosion of productivity and prosperity, argues Matt Ridley, thanks to a combination of artificial intelligence, material science and genomic knowledge that is unprecedented in its scope and implications. With characteristic wit and ferocity, he confronts the irrational pessimism that dominates public discourse and examines the bureaucratic bloat, regulatory overreach, ideological superstition and crony capitalism that stand in the way.Optimistic in conclusion but unsparing in its analysis, The Flourishing is a rousing call to achieve and innovate by refusing to settle for a merely adequate future when a magnificent one is within reach.

The Rational Pessimist

Routledge Studies in the Economics of Innovation

Building Resilient, Regenerative and Sustainable Supply Chains

AI, Blockchain and the Circular Economy

Hart Studies in Comparative Public Law

Theory, Practice and Problems

Automation in Governance

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;
 
 Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;

Artificial Security and the Politics of Hype in the EU

Platform Supply Chains in the AI Era

This open access book provides a systematic and in-depth analysis of the critical risks inherent in modern platform-based supply chains. Employing rigorous analytical methods, including game theory and advanced, computationally efficient simulation techniques, it delves into three core areas: operational risks, information and data risks, and quality and compliance risks. The book moves beyond traditional supply chain paradigms to address challenges unique to the platform economy. This includes the strategic threat of platforms using seller data to launch competing products, the complex trade-offs in managing third-party product quality, the impact of reactive capacity on quality decisions, and the challenge of optimizing inventory across networks of unprecedented scale. It is an essential resource for graduate students, academic researchers, and advanced practitioners in the fields of operations management, supply chain management, and information systems. The content is suitable for readers with a graduate-level understanding of these disciplines.

This open access book provides a systematic and in-depth analysis of the critical risks inherent in modern platform-based supply chains. Employing rigorous analytical methods, including game theory and advanced, computationally efficient simulation techniques, it delves into three core areas: operational risks, information and data risks, and quality and compliance risks. The book moves beyond traditional supply chain paradigms to address challenges unique to the platform economy. This includes the strategic threat of platforms using seller data to launch competing products, the complex trade-offs in managing third-party product quality, the impact of reactive capacity on quality decisions, and the challenge of optimizing inventory across networks of unprecedented scale.
 
 It is an essential resource for graduate students, academic researchers, and advanced practitioners in the fields of operations management, supply chain management, and information systems. The content is suitable for readers with a graduate-level understanding of these disciplines.

Risk Management

Platform Supply Chains 5

Revolution of AI and Machine Learning for Design and Automation

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