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Lamanov E: KI-gestütztes Controlling.
Effizienzsteigerung und Herausforderung

KI-gestütztes Controlling. Effizienzsteigerung und Herausforderungen beim Einsatz moderner KI-Tools

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

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

Recursions

A Media Theory of Machine Learning

Errant Intelligence

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

Springer Series in Supply Chain Management

This book focuses on the most recent advancements in the application of digital and innovative technologies for strengthening health supply chains in Africa. While substantial evidence shows how these digital technologies have helped increase health supply chain visibility, efficiency and performance in developed countries, little is known about&nbsp;the challenges and success to apply, adopt and implement in the African context. Therefore, this book brings together contributions from scholars and professionals to form a compendium of practices, challenges, success/failure factors, impact, and socio-cultural peculiarities associated with the adoption and implementation of new digital technologies in transforming health supply chains in various African countries. It helps readers gain insight into the role of technologies and innovations in health supply chain management, as well as for understanding successful and unsuccessful implementation cases in African countries, and how similar scenarios can be replicated or avoided.The book offers a comprehensive guide for educators, researchers, management professionals, non-governmental organizations, and policymakers on how to effectively drive supply chain digital transformation in Africa’s healthcare system.

Achievements, Challenges and Impact

Digitalizing Health Care Supply Chains in Africa

Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time-fast, private, and reliable even when the network disappears.This book is your practical guide to building exactly those kinds of systems with the Raspberry&nbsp;Pi AI&nbsp;HAT+ and the Hailo-8L accelerator. You'll start with clear foundations: core&nbsp;AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge&nbsp;AI from cloud AI-plus an honest look at ethical considerations and future impacts.Then it's straight to hands-on physical computing. Step by step, you'll set up Raspberry&nbsp;Pi&nbsp;OS, power and cooling, and develop in Python using the Thonny&nbsp;IDE. You'll learn GPIO basics with lights and servos, mount the AI&nbsp;HAT+ hardware, install and verify the Hailo software stack, and connect the right camera-official modules or USB webcams, even multiple cameras.From your first pipeline to real projects, you'll run person detection, pose estimation, segmentation, and depth estimation, then level up with YOLO object detection: smart alerts, guest counters, and custom extensions. You'll even connect vision to motion by combining gesture recognition with servo-driven mechanisms, including a robotic arm.With troubleshooting tips, hardware essentials, and a practical Python refresher, this book turns Edge&nbsp;AI from buzzword into buildable reality.

AI Projects for the Raspberry Pi with the AI HAT+

Edge AI Made Practical

In today's data-driven business world, organizations struggle to extract actionable insights from vast amounts of information. This textbook bridges theory and practice, offering structured approaches to leverage data for enhanced decision-making through machine learning, AI, and optimization modeling-transforming raw data into competitive business intelligence.Decision Making and Analytics: Data-Driven Business Intelligence and Optimization features advanced analytical methodologies paired with real-world implementation studies, creating a progressive learning path from customer behavior analysis through hybrid decision models. By integrating fuzzy logic, neural networks, text mining, and reinforcement learning, it provides a comprehensive toolkit applicable across business scenarios, turning abstract concepts into practical solutions.Serving multiple audiences, this resource bridges the gap between classroom theory and industry practice for students in industrial engineering, business analytics, and management information systems. Practitioners gain applicable methodologies to improve organizational decision-making. At the same time, researchers benefit from cutting-edge approaches across various domains, and policymakers can develop data-informed strategies-addressing the growing demand for professionals who translate data into strategic decisions.The textbook employs open-ended questions that develop analytical reasoning skills without predetermined solutions, better preparing students for real-world complexity. Supporting materials include high-quality figure slides, as well as PowerPoint slides, for qualified adopters, enabling engaging learning environments that effectively communicate complex concepts while building practical, data-driven decision-making skills.

Data-Driven Business Intelligence and Optimization

Decision-Making and Analytics

Routledge Studies in Trust Research

Trust and Human Resource Management: Navigating Human Capital in the Age of Transformation explains why trust has become one of the most practical "must-haves" for managing people today. As work is reshaped by digital platforms, data analytics, and AI tools, employees increasingly experience HR through systems and algorithms as much as through managers. This book shows how trust is built-or damaged-through everyday HR decisions such as hiring, performance evaluation, rewards, development, and the handling of conflict, and why trust matters for engagement, well-being, innovation, and retention.Bringing together international authors from Europe, the United States, and Asia, the chapters combine clear conceptual frameworks with evidence from surveys, comparative analyses, and real organizational cases. The volume covers timely topics including trust in AI-supported recruitment and selection, the role of HR in cybersecurity and information security staffing, stress during digital transformation, cross-cultural and generational differences in trust, and trust in automated work environments. It also highlights risks linked to surveillance and opaque decision-making and offers practical guidance on transparency, communication, employee involvement, and responsible data use.Written for non-specialists as well as scholars, the book provides a global, future-oriented map for designing HR practices that are both effective and trustworthy in an era of rapid change.

Navigating Human Capital in the Age of Transformation

Trust and Human Resource Management

A Practical Guide for Engineering Leaders

Generative AI in Software Development

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

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

How to AI

Routledge Studies in New Media and Cyberculture

Does artificial intelligence empower humanity, or does it merely automate the stratifications of the past? In The Inequality Regime of AI, the authors offer a critical sociology of artificial power, arguing that AI represents a fundamental ontological shift in how social life is organized, valued, and governed.Moving beyond the traditional digital divide, this book introduces the concept of the Inequality Regime of AI. The authors trace a profound transition from inequalities of participation to inequalities of prediction, where social power is concentrated in the hands of those who own and control the means of cognition. Through a global lens, the volume exposes the hidden architectures of the algorithmic age: from the predictive cage of automated governance and the digital feudalism of rentier platforms to the extractive computational metabolism that binds AI to planetary resource depletion. Drawing on Southern epistemologies and the concept of techno-colonialism, the book reveals how AI stabilizes social hierarchies while presenting them as objective, efficient, and inevitable. However, the authors do not stop at critique. They advocate for a "praxis of freedom", proposing a shift from extractive models toward redistributive infrastructures and the algorithmic commons.Grounded in a relational ethics of care and critical literacy, this volume is essential reading for scholars and students of sociology, media studies, political science, and the ethics of technology seeking to understand, and contest, the new architectures of global power.

Power, Allocation, and the Struggle for Justice

The Inequality Regime of AI

KI-gestütztes Controlling. Effizienzsteigerung und Herausforderungen beim Einsatz moderner KI-Tools

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