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Eom S: Enabling Data-Driven Innovation
and AI Government in Korea

Enabling Data-Driven Innovation and AI Government in Korea

Datenrecht und neue Technologien

Automatisierte Textanalyse kann den Zivilprozess revolutionieren - doch der Forschungszugang zu Schriftsätzen stockt an Daten¿, Urheber¿ und Geheimnisschutz. Die Dissertation entwickelt die erste systematische Untersuchung für ein KI¿gestütztes Analyse¿Tool, das Richtern die zeitraubende Relationstechnik abnimmt. Gestützt auf bisherige Argument-Mining-Forschung und dem aktuellen rechtswissenschaftlichen Stand zu nationalen und europäischen Datenrechtsnormen formuliert der Autor konkrete Handlungsempfehlungen für eine verantwortbare Sekundärnutzung von Ziviljustizdaten. Ein unverzichtbares Werk für Justizverwaltungen, Legal¿Tech¿Pioniere, Politik, Bibliotheken und Buchhandel.

Automatisierte Textanalyse kann den Zivilprozess revolutionieren – doch der Forschungszugang zu Schriftsätzen stockt an Daten‑, Urheber‑ und Geheimnisschutz. Die Dissertation entwickelt die erste systematische Untersuchung für ein KI‑gestütztes Analyse‑Tool, das Richtern die zeitraubende Relationstechnik abnimmt. Gestützt auf bisherige Argument-Mining-Forschung und dem aktuellen rechtswissenschaftlichen Stand zu nationalen und europäischen Datenrechtsnormen formuliert der Autor konkrete Handlungsempfehlungen für eine verantwortbare Sekundärnutzung von Ziviljustizdaten. Ein unverzichtbares Werk für Justizverwaltungen, Legal‑Tech‑Pioniere, Politik, Bibliotheken und Buchhandel.

Hürden im Datenschutz-, Urheber- und Geheimnisschutzrecht bei der Erforschung eines künstlich intelligenten Systems für Zivilrichter

Argument Mining im Zivilprozess

China Perspectives

This book systematically examines how the digitalization of global value chains (GVCs) has driven the high-quality development of China's manufacturing industry. It reveals the intrinsic mechanisms and pathways through which digital technologies reshape the international division of labor and promote industrial upgrading.Integrating theory with empirical analysis, the book establishes an innovative measurement framework for GVC digitalization. Using data from China's manufacturing sectors from 2000 to 2020, the book evaluates the quality of industrial development across five dimensions: innovation, coordination, green development, openness, and sharing. The book provides an in-depth analysis of the characteristics, challenges, and multidimensional impacts of Chinese manufacturing's integration into digital GVCs. Using rigorous econometric models, the study demonstrates that digitalization primarily advances high-quality manufacturing development through three channels: reducing transaction costs, fostering technological innovation, and optimizing resource allocation. Finally, the book proposes strategic pathways and policy implications targeted to China's manufacturing industry, offering a solid theoretical foundation and decision-making reference for achieving value chain upgrading and structural optimization in the digital era.This book will be valuable for scholars and policymakers in the fields of the digital economy, global value chains, international trade, and industrial economics, as well as for university students and industry professionals.The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC BY-NC-ND) 4.0 license

Case Studies from the Chinese Industry

Digitization of the Global Value Chain and High-Quality Development

A new era of SQL Server is here, and this latest edition of Grant Fritchey’s best-selling dive into SQL Server query performance can ensure your queries keep up.

The fundamentals are still here: You’ll learn how statistics and indexes impact performance, how to identify poorly performing queries, and how to discover effective solutions. But this new edition also includes advanced features unique to SQL Server 2025, such as AI integration for automatic tuning, insights on using extended events, automatic execution plan correction, and more. It’s a must-have resource designed to empower you to troubleshoot slow-performing queries and make them run faster than ever.

The book is a treasure trove of instruction, insight, and advice. As you dive in, you’ll encounter key fundamentals, from statistics and data distribution to cardinality and parameter sniffing, and learn to analyze and design your indexes and queries using best practices that prevent performance problems before they occur. You’ll also explore advanced features like Query Store for managing and controlling execution plans, automated performance tuning, and memory-optimized OLTP tables and procedures—and learn how SQL Server 2025 makes it all more powerful and automatable than ever.

What You Will Learn

Use Query Store to understand and easily change query performance

Recognize and eliminate bottlenecks leading to slow performance

Tune queries whether on-premises, in containers, or on cloud platform providers

Implement best practices in T-SQL to minimize performance risk

Design in the performance that you need through careful query and index design

Understand how built-in, automatic tuning can assist your performance enhancement efforts

Protect query performance during upgrades to the newer versions of SQL Server




Who This Book Is For

Developers and database administrators with responsibility for query performance in SQL Server environments, and anyone responsible for writing or creating T-SQL queries and in need of insight into bottlenecks—including how to identify them, understand them, and eliminate them

Troubleshoot and Optimize Query Performance

SQL Server 2025 Query Performance Tuning

How the rise of AI agents--and other forms of autonomous intelligence--will transform every aspect of how companies create value and compete.Companies have long operated with a basic assumption: intelligence is scarce. Talent is limited, expertise is expensive, and good judgment is hard to scale. But that world is ending.AI agents are bringing a new form of labor into the enterprise--one that can work autonomously, learn continuously, and scale instantly. Their embodied counterparts, from drones to humanoid robots, are doing the same in the physical world. Together, these systems are introducing a new economic reality: cognition is becoming cheap, elastic, and abundant.In Abundant Intelligence, Deloitte's Nitin Mittal and futurist Mike Walsh show what happens when intelligence becomes cheap and widely available. Drawing on inside access to the people leading AI transformations at the world's most powerful companies, they uncover how this shift is challenging every assumption about strategy, productivity, and leadership, and what organizations must do now to stay ahead.As abundance becomes the new normal, the leader's job shifts from collecting intelligence to directing it. Those who learn to harness this expanding workforce of digital labor will unlock new levels of speed, creativity, and advantage. For everyone else, the gap will widen fast.

How Digital Labor Will Rewrite the Rules of Business

Abundant Intelligence

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

Revolution of AI and Machine Learning for Design and Automation

Afterword by Len DeCandia, former Chief Procurement Officer, Johnson &amp; Johnson and&nbsp;Estée Lauder, and former Chief Supply Officer, Roche NA Featuring an essay by Packy McCormick, writer and investor, Not Boring Leverage AI and robotics to transform industries, launch new business models, and dominate markets The Predictive Enterprise: How Superhuman Supply Chains Transform Global Business digs deep into the exciting business opportunities created by a new kind of supply chain-one powered by AI and autonomous technologies-to deliver an exponential increase in productivity and throughput. From superintelligent humanoid robots, to sensorized loading docks, to autonomous and AI-augmented supplier negotiations, to predictive materials management, this book covers all aspects of superhuman supply chains within the context of larger global enterprise digital transformations. Drawing from interviews with Global 2000 executives and real-world case studies at companies like Chevron, Standard Industries, Koch Industries, as well as Amazon, Walmart, and Tesla, this book delivers key insights on: <ul> <li>Autonomous distribution centers, humanoids, self-driving everything, including drone swarms, and more</li> <li>Leapfrogging and retrofitting legacy infrastructure, systems, facilities, and workforces for exponential gains</li> <li>Third party AI risks for large enterprises and AI governance for supply chain teams, including challenges associated with security, privacy, and data governance</li> <li>The role of simulations in disaster response, including extreme weather events, geopolitical conflicts, trade wars and other supply disruptions and how AI is boosting resiliency and agility</li> <li>Dealing with social anxiety around job loss and replacement and overcoming naysayers, by creating a Ready-Aim-Fire game plan to test-and-learn and iterate quickly and continuously to nail and scale big wins from superhuman supply chains</li> </ul> The Predictive Enterprise is a timely, essential read for a global audience of business executives seeking to capitalize on the autonomous technologies that are quickly reshaping the world of global business as supply chains grapple with an adversarial US-China geopolitical landscape and increasingly are being asked to absorb the impact of disruption events without adding headcount.

How Superhuman Supply Chains Transform Global Business

The Predictive Enterprise

Predictable Ops is a practical leadership framework for IT operations leaders and their business partners navigating the complexities of AI-driven transformation. The book delivers eight clear rules grouped into two tracks: Operational Trust and Preparation &amp; Foresight. This system helps leaders build reliable, cost-aware, resilient services — and lead decisively when machine-driven insights must be balanced with human judgment.

Each rule includes real-world anecdotes — from cloud migrations and vendor licensing negotiations to critical incident communications and team accountability gaps. Predictable Ops makes the system repeatable through reflection questions, templates, and ‘Try It This Week’ actions.

Where other books focus narrowly on DevOps, SRE, or AI strategy, Predictable Ops bridges the daily realities of operations leaders who must stabilize services while explaining the risks and value of AI to partners who depend on them.

With trust, clear forecasting, transparent communication, and decisive leadership, Predictable Ops shows readers how to deliver services that stay stable, boring, and trusted — so that AI and future platforms multiply value instead of chaos.

Predictable Ops 
 is a practical leadership framework for IT operations leaders and their business partners navigating the complexities of AI-driven transformation. The book delivers eight clear rules grouped into two tracks: Operational Trust and Preparation &amp; Foresight. This system helps leaders build reliable, cost-aware, resilient services — and lead decisively when machine-driven insights must be balanced with human judgment.
 
 Each rule includes real-world anecdotes — from cloud migrations and vendor licensing negotiations to critical incident communications and team accountability gaps.&nbsp;
 Predictable Ops
 makes the system repeatable through reflection questions, templates, and ‘Try It This Week’ actions.
 Where other books focus narrowly on DevOps, SRE, or AI strategy, Predictable Ops bridges the daily realities of operations leaders who must stabilize services while explaining the risks and value of AI to partners who depend on them.
 With trust, clear forecasting, transparent communication, and decisive leadership,&nbsp;
 Predictable Ops
 shows readers how to deliver services that stay stable, boring, and trusted — so that AI and future platforms multiply value instead of chaos.
 &nbsp;

Leading IT in the Age of AI

Predictable Ops

Diese überarbeitete und erweiterte Neuauflage präsentiert die "Sieben Felder der Selbstführung": ein praxiserprobtes Orientierungs- und Handlungsmodell, das Wirksamkeit und Klarheit stärkt - in Zeiten digitaler Beschleunigung und Künstlicher Intelligenz. Der deutlich ausgebaute Tool-Teil liefert sofort nutzbare Routinen für Planung, Motivation, digitales Selbstmanagement und Resilienz. Die Tools sind im Executive Coaching erprobt und auf die Anforderungen moderner Führung zugeschnitten.
Ein besonderer Akzent liegt auf konkreter Umsetzung: Wie gelingt souveräne Führung in KI-gestützten Umfeldern? Wie wird digitale Transformation nicht nur "gemanagt", sondern aktiv gestaltet? Und wie begegnen Führungskräfte und Unternehmer den realen Spannungsfeldern des Alltags - zwischen Tempo, Unberechenbarkeit und Verantwortung?

Im Zeitalter der KI die eigene Vision finden, Ziele setzen und Ausgleich erleben

Wirksam handeln durch Selbstführung

The digital revolution has significantly transformed the global business landscape. As digital technologies continue to disrupt traditional business models, organizations across sectors are compelled to rethink their strategies for growth, resilience, and sustainability. The convergence of innovation, artificial intelligence, big data, blockchain, and digital marketing has not only created new avenues for competitiveness but also brought forth complex challenges for businesses aiming to stay relevant in a rapidly evolving ecosystem. This book, "Navigating Digital Disruption - Strategies for Sustainable Business Management", is a scholarly compilation of selected research papers presented at the International Conference on Advanced Research in Digital Age (ICARD-25) held at BIITM, Bhubaneswar. The contributions in this volume stem from rigorous academic inquiry and practical insights, aimed at offering a roadmap for managing digital trans¿formation while ensuring sustainability.

Navigating Digital Disruption: Strategies for sustainable business management

Routledge Masters in Public Management

This concise textbook provides a comprehensive framework for understanding and implementing effective public-private partnerships in an era of complex policy challenges and resource constraints. Drawing on research and empirical evidence, it examines how cross-sector collaboration has evolved from traditional contracting relationships to strategic partnerships that create substantial public value.This book offers a systematic typology of partnership models, analytical tools for partnership evaluation, and practical strategies for collaborative leadership. It integrates theoretical foundations with actionable insights on partnership formation, governance structures, and performance management across diverse policy domains including healthcare, cities, and climate initiatives. Each chapter includes suggested reading and discussion questions.Designed primarily for graduate and advanced undergraduate students in public administration, public policy, and business management programmes, this volume also serves as an essential resource for public managers and policy practitioners.

Managing Public-Private Partnerships

Precarious Futures
 &nbsp;explores the evolving and emerging relationship between crime and technology in an increasingly complex and interconnected world, along with its implications for new perceptions of crime and deviance. It evaluates the rise of the World Wide Web and the model of cybercrime, questions whether existing criminological thought offers relevance and efficacy in current circumstances, conditions and future predictions, and revisits the concept of Relative Deprivation and&nbsp;the underpinning social psychological and socio-political foundations of it. It argues that&nbsp;Relative Deprivation&nbsp;allied to post-industrial precarity provides a central platform for understanding crime and deviance in a hyper-connected and hyper-commercial neoliberal world.&nbsp;The book develops to explore current criminological and security conceptions of artificial intelligence, big data, crime and social control, as well as hacktivism, and how opportunities for crime have become ‘democratised’ and expanded through the Web. Drawing&nbsp;on empirical data, theoretical narratives and a review of the state of crime now and in a speculative near future, Hamerton and Webber discuss some potential directions for a new transdisciplinary critical criminology.&nbsp;
 Precarious Futures
 &nbsp;speaks to&nbsp;criminologists, sociologists and social theory scholars and students, as well as academics and professionals in associated technological fields such as cyber-security, computer science and web science.
 Christopher Hamerton
 &nbsp;is&nbsp;Deputy Director of the Institute of Criminal Justice Research at the&nbsp;University of Southampton, UK.
 Craig Webber
 &nbsp;is&nbsp;Head of the Department of Sociology, Social Policy and Criminology at the&nbsp;University of Southampton, UK.

Precarious Futures
 &nbsp;explores the evolving and emerging relationship between crime and technology in an increasingly complex and interconnected world, along with its implications for new perceptions of crime and deviance. It evaluates the rise of the World Wide Web and the model of cybercrime, questions whether existing criminological thought offers relevance and efficacy in current circumstances, conditions and future predictions, and revisits the concept of Relative Deprivation and&nbsp;the underpinning social psychological and socio-political foundations of it. It argues that&nbsp;Relative Deprivation&nbsp;allied to post-industrial precarity provides a central platform for understanding crime and deviance in a hyper-connected and hyper-commercial neoliberal world.&nbsp;The book develops to explore current criminological and security conceptions of artificial intelligence, big data, crime and social control, as well as hacktivism, and how opportunities for crime have become‘democratised’ and expanded through the Web. Drawing&nbsp;on empirical data, theoretical narratives and a review of the state of crime now and in a speculative near future, Hamerton and Webber discuss some potential directions for a new transdisciplinary critical criminology.&nbsp;
 Precarious Futures
 &nbsp;speaks to&nbsp;criminologists, sociologists and social theory scholars and students, as well as academics and professionals in associated technological fields such as cyber-security, computer science and web science.

Crime, Technology and the Web

Precarious Futures

Enabling Data-Driven Innovation and AI Government in Korea

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