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Basler de Roca R: KI Kann ich: Zwischen
Prompt und Purpose

KI Kann ich: Zwischen Prompt und Purpose

Wie wir mit KI sinnvoller denken, arbeiten und wirken

The Essential Guide to Launching Your Career in Artificial Intelligence

Break into AI

Research in Creative Writing

Writing Human in the Age of AI

Reciprocity begins with a simple but unsettling question: why have we come to believe that human beings are naturally self-interested, competitive and acquisitive? This galvanising, perspective-shifting book dismantles the myth of Homo economicus to show us the way towards a world whose realities align with our true selves.Drawing on a variety of disciplines, including anthropology, archaeology, evolutionary biology, psychology, economics and social epidemiology, Richard Wilkinson demonstrates that the characteristics which we assume to be our human nature are in fact effects of the market societies we live in. He traces how various systems of exchange have created profoundly different forms of social life throughout the course of history, shaping our behaviours, motivations, and the kinds of people we become. Though it may often feel like it, the avarice and oppressions that defines the twenty-first century are not an unchangeable reality we simply have to live with.The book explains why inequality, status competition and consumerism hold so much power over us and reveals the depths to which these forces are entwined with the ever-rising crises of mental illness, political polarisation and environmental destruction. Rather than asking how we can make individuals behave better, it makes a compelling case for restructuring our societies to make life happier, meaningful and more fulfilling for one and all.Rigorously researched, bracingly practical and full of passion and hope in equal measure, Reciprocity offers a bold reinterpretation of the world we live in. It equips us with the necessary tools to look beyond and remake it in our very own, amiably human image.

Reclaiming Our Humanity from the Market

Reciprocity

Risk, Governance and Society

From Data Analytics to Global Risk Governance

Evolution of Anomaly Detection

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

Routledge Focus on Economics and Finance

AI, Blockchain, and the New Logic of Markets

Hundreds of millions go into ERP, cybersecurity and data platforms. The language that carries all of it into nineteen markets is bought by the word, from whoever quoted lowest. In the AI era that same language has become the training material for everything the company automates.Arthur Wetzel moves language to the other side of the balance. Earlier market entry is revenue. Support tickets that never arrive are margin. An AI system trained on governed content outperforms one trained on whatever was lying around. Language creates all three, and no ledger has ever carried a line for it.This book gives that value a name and a number. The Return on Multilingualism sets the three gains against the investment that produced them. Organizations running LangOps systematically reach a return between 2.8 and 4.1 within three years, the same order of magnitude the DevOps movement documented for its own discipline. The ratio resolves only where one accountable function can see all three at once, which is why so few organizations have ever produced it.From the interpreter on the Bronze Age Euphrates to the focused models now trained on corporate terminology, Wetzel traces how the language industry was built and what it left ungoverned, looks at what Estonia and India did once they treated language as public infrastructure, and sets out LangOps as the framework that turns a recurring purchase into a compounding asset.

How Language Became a Production System in the AI Era

The Language Infrastructure

Messe-, Kongress- und Eventmanagement

'Event Infrastructure': This anthology, edited by Axel Barwich, brings together theses addressing key issues in modern event technology. The focus is on event logistics, LoRaWAN sensor technology, remote mixing, generative AI in lighting design, technical needs assessment, safety considerations, as well as vibe coding and cybersecurity. The contributions combine scientific analysis with concrete applications and highlight both the potential and limitations of current solutions.

Mobilität, Technik und KI

Infrastruktur für Veranstaltungen

The Fight for the Future of Work

We Are Not Machines

Aufzeichnungen eines Müllmanns

Dreckskerl

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

Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

KI Kann ich: Zwischen Prompt und Purpose

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