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Dieses E-Book wurde nicht gemäß der W3C EPUB Accessibility Guidelines oder PDF UA Standards für eine barrierefreie Zugänglichkeit optimiert. Es enthält ggfs. nicht-barrierefreie Elemente.

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Burkhard Bensmann

Self-Leadership: The Key to Being Productive

Find Your Vision, Set Your Goals, and Thrive in the Age of AI

Cut through the hype. Master the basics. Transform your work

How to AI

This book fills a significant gap by providing a leadership guide to balance innovation and safety. With the rapid business transformation underway to leverage artificial intelligence (AI), executives must allocate substantial investments in governance, corporate purpose, and risk management tailored to their organization's strategic goals. The stakes are high, and very few organizations are generating positive returns on their investments. As a result, leaders must reevaluate their strategies, focusing on maximizing benefits while curtailing unnecessary costs. This book emphasizes the importance of carefully integrating humans into AI processes and introduces a robust leadership framework that prioritizes innovation without compromising safety. Diverse industry examples offer rich insights into pathways for striking a balance between advancing AI capabilities and mitigating potential risks.This book equips leaders with the tools to navigate the complexities of AI responsibly. It sheds light on often¿verlooked topics in major AI literature, including in¿epth discussions on strategic scenarios, risks and controls, legal frameworks, and effective measurement systems. Offering a wealth of strategic and operational insights from credible sources, this authoritative resource is indispensable for senior executives aiming to design, develop, and implement successful AI initiatives within their organizations.

An Executive Guide to Balancing AI Innovation and Safety

The AI Precipice

An intimate portrait of the world's most brilliant tech visionary and his game-changing company DeepMind, from award-winning financial journalist and historian Sebastian Mallaby Even in a tech world crowded with visionary leaders, Demis Hassabis is recognized as a special case. Born to working class, immigrant parents in North London, a chess prodigy by five and wizard coder in his teens, he turned down a seven-figure job offer from a video-game studio to study science at Cambridge. Long before the current obsession with AI, he founded the path-breaking company DeepMind in order to pursue a single, audacious goal: the dream of artificial superintelligence, which would solve humanity's hardest problems, change life and work as we know it, and perhaps even unlock the deepest mysteries of the Universe. For his scientific achievements, he won a Nobel Prize in 2024, and his company, now Google DeepMind, is considered the tech giant's engine room. For the past three years, Sebastian Mallaby has had unprecedented access to Hassabis and DeepMind, conducting hundreds of hours of interviews with him and his inner circle as well as detractors and rivals at other companies. The result is a revelation-packed portrait of a singular mind and a historic reckoning with the AI revolution, a shift potentially more significant than any since the dawn of complex thought 70,000 years ago. As Mallaby chronicles, DeepMind is locked in an arms race with Silicon Valley competitors to build artificial general intelligence, and thereby become the keeper of humanity's future. Yet this is not a Silicon Valley story. Hassabis has remained in Britain, and unlike his rivals, his aims are not wealth and power but scientific enlightenment. Like them, however, he is haunted by the memory of Robert Oppenheimer, the creator of the atom bomb. He aims to control the technology, but the technology may ultimately control him - and humanity writ large.

Demis Hassabis, DeepMind and the Quest for Superintelligence

The Infinity Machine

Routledge Advances in Management and Business Studies

This book covers the relationship between artificial intelligence and sustainability goals, bringing together cutting-edge research and insights from business researchers and practitioners.Through real-world case studies from a variety of industries and regions around the world, the book examines how AI can optimise processes, reduce carbon footprints, and support climate action. It also delves into the ethical considerations of deploying AI in an environmentally conscious manner, ensuring that AI's benefits are realised without compromising the planet's well-being.A valuable resource for academics in the fields of AI, sustainability, and business practices. The book will also interest university administrators, industry professionals, and policymakers seeking to drive positive, sustainable change in their respective fields.

Strategies for Modern Businesses

AI-Powered Sustainability

Industrialized Construction in the Age of AI and Robotics explores the transformative convergence of artificial intelligence, robotics, and modern construction methods. This comprehensive textbook reveals how cutting-edge technologies are reshaping the construction industry, offering unprecedented improvements in efficiency, quality, and sustainability.From fundamental concepts to practical applications, the book is divided into three sections. Part One establishes the foundational principles of industrialized construction and introduces the revolutionary potential of AI and robotics. Part Two delves deep into six critical operational areas: AI-driven design systems, agile production processes, intelligent supply chain management, automated on-site assembly, predictive maintenance, and smart work packaging. The final section examines current challenges, from technical and financial constraints to regulatory considerations, before exploring emerging trends and future innovations. Each chapter features detailed case studies and practical examples that bridge theory and real-world implementation.Written for a diverse audience, this essential resource serves as both an academic textbook and a professional reference. Students in Civil Engineering, Industrial Engineering, Construction Engineering and Management, and AI &amp; Robotics programs will find it invaluable for understanding the intersection of these disciplines. Industry practitioners, including construction managers, project engineers, and technology integrators, will gain practical insights into implementing AI and robotics solutions. Whether you're preparing for a career in modern construction, leading technological transformation in your organization, or conducting advanced research in the field, this book provides the interdisciplinary knowledge needed to succeed in construction's AI-driven future.

Industrialized Construction in the Age of AI and Robotics

A Practical Guide for Engineering Leaders

Generative AI in Software Development

Beyond the Human Touch: AI's Revolution in Healthcare provides a comprehensive, accessible, and engaging exploration of how Artificial Intelligence (AI) is transforming healthcare. The book aims to serve as a definitive guide for healthcare professionals, policymakers, researchers, and students, offering insights into the practical applications, ethical considerations, and future potential of AI in the healthcare sector. This book benefits the healthcare and AI communities by:¿ Providing a thorough understanding of how AI technologies are being integrated into various aspects of healthcare.¿ Offering practical insights and strategies for implementing AI in clinical and administrative settings.¿ Highlighting the ethical and regulatory considerations necessary for responsible AI adoption.¿ Envisioning the future of AI in healthcare, including its potential to address global health disparities.

AI's Revolution in Healthcare

Beyond the Human Touch

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

Progress in IS

This open access book challenges the conventional idea of organizational learning by emphasizing the importance of intentional forgetting alongside information retention. It explores how intentional forgetting can free up cognitive, organizational, and technological resources, enabling organizations to adapt effectively to changing environments and remain resilient in the face of challenges. This shift in perspective highlights intentional forgetting as a crucial aspect of developing dynamic capabilities and coping with the ever-growing volume of stored information in modern organizations. The book provides an interdisciplinary perspective on the most recent research in intentional forgetting with joint contributions from psychology, computer science, information systems research, and engineering. These contributions cover the theory of intentional forgetting, methods, and paradigms to analyze and design intentional forgetting in organizations, as well as practical applications of intentional forgetting.The book examines the intricate mechanisms of human and machine forgetting, particularly relevant within technical and organizational spheres. Through practical demonstrations, it showcases how established organizational theories can be leveraged to empower information systems within organizations to engage in forgetting. Furthermore, it presents interdisciplinary methodologies and pathways for organizations to effectively manage the ever-expanding volume of stored information while strategically implementing forgetting as a vital tool for optimization.The book offers inspiration to business information scientists, computer scientists, and organizational designers, urging them to draw parallels with human memory to devise innovative solutions for effectively managing the overwhelming influx of information and data.

Developing Dynamic Capabilities for Work and Organizations

Intentional Forgetting with Intelligent Systems

'Extraordinary... beautifully written, clear-eyed and engaged in the deepest ethical questions of our day' Rory Stewart A revelatory portrait of the visionary behind Google DeepMind, the race to control the future - and what it means to win Even in a tech world crowded with visionary leaders, Demis Hassabis is recognized as a special case. Born to working class, immigrant parents in North London, a chess prodigy by five and wizard coder in his teens, he turned down a seven-figure job offer from a video-game studio to study science at Cambridge. Long before the current obsession with AI, he founded the path-breaking company DeepMind in order to pursue a single, audacious goal: the dream of artificial superintelligence, which would solve humanity's hardest problems, change life and work as we know it, and perhaps even unlock the deepest mysteries of the Universe. For his scientific achievements, he won a Nobel Prize in 2024, and his company, now Google DeepMind, is considered the tech giant's engine room. For the past three years, Sebastian Mallaby has had unprecedented access to Hassabis and DeepMind, conducting hundreds of hours of interviews with him and his inner circle as well as detractors and rivals at other companies. The result is a revelation-packed portrait of a singular mind and a historic reckoning with the AI revolution, a shift potentially more significant than any since the dawn of complex thought 70,000 years ago. As Mallaby chronicles, DeepMind is locked in an arms race with Silicon Valley competitors to build artificial general intelligence, and thereby become the keeper of humanity's future. Yet this is not a Silicon Valley story. Hassabis has remained in Britain, and unlike his rivals, his aims are not wealth and power but scientific enlightenment. Like them, however, he is haunted by the memory of Robert Oppenheimer, the creator of the atom bomb. He aims to control the technology, but the technology may ultimately control him - and humanity writ large.

In a world where machines learn, evolve, and sometimes outthink us, Artificial Intelligence and Safety offers a rare, integrated lens into both the power and peril of intelligent systems. Drawing on the authors' unique blend of programming mastery and enterprise risk leadership, this guide is your compass in the age of intelligent machines.The book goes beyond traditional risk management frameworks by integrating the latest advancements in artificial intelligence and generative AI. Combining real-world case studies, Socratic questioning, and the wisdom of AI governance pioneers, it journeys through the evolution of AI, the rise of deep learning, and the practical implications of large language models (LLMs) and retrieval-augmented generation (RAG). The authors translate complex technical knowledge into actionable insights and teach how to use Python not just for prediction, but for protection-turning code into a risk management ally. Readers will understand how to embed ethics by design, assess emerging risks, and confidently apply AI governance frameworks.This guide demystifies AI for everyone-from software architects to policymakers and risk managers. Whether you're crafting LLMs or setting enterprise policy, this book empowers you to not only ask the right questions but build the right systems, because the future of AI isn't just about building intelligence, it's about building it responsibly.

A Practical Guide for Programmers and Decision Makers

Artificial Intelligence and Safety

Self-Leadership: The Key to Being Productive

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