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Produkt vom BFSG ausgenommen: Hersteller ist Kleinstunternehmen

Ajay Agrawal

Joshua Gans

Avi Goldfarb

Máquinas predictivas

La sencilla economía de la inteligencia artificial

PREDICCIÓN. La magia de las máquinas predictivas. ¿Por qué se llama inteligencia?. Los datos son el nuevo petróleo. La nueva división del trabajo. TOMA DE DECISIONES. Descifrando decisiones. El valor del juicio. Prediciendo el juicio. Dominar la complejidad. Toma de decisiones totalmente automatizada. HERRAMIENTAS. Deconstruir los flujos de trabajo. Descomponiendo las decisiones. Rediseñando el trabajo. ESTRATEGIA. La IA y los directivos de alto nivel. Cuando la IA transforma tu negocio. Su estrategia de aprendizaje. Gestionar el riesgo de la IA. SOCIEDAD. Más allá del negocio.

Tech, War and the Fight for Humanity

Thundercloud

Shortlisted for the Financial Times and Schroders Business Book of the Year Award How 1,000 years of global history show why technological and economic progress is often followed by stagnation and even collapse In How Progress Ends, Carl Benedikt Frey challenges the conventional belief that economic and technological progress is inevitable. For most of human history, stagnation was the norm, and even today progress and prosperity in the world's largest, most advanced economies--the United States and China--have fallen short of expectations. To appreciate why we cannot depend on any AI-fueled great leap forward, Frey offers a remarkable and fascinating journey across the globe, spanning the past 1,000 years, to explain why some societies flourish and others fail in the wake of rapid technological change. By examining key historical moments--from the rise of the steam engine to the dawn of AI--Frey shows why technological shifts have shaped, and sometimes destabilized, entire civilizations. He explores why some leading technological powers of the past--such as Song China, the Dutch Republic, and Victorian Britain--ultimately lost their innovative edge, why some modern nations such as Japan had periods of rapid growth followed by stagnation, and why planned economies like the Soviet Union collapsed after brief surges of progress. Frey uncovers a recurring tension in history: while decentralization fosters the exploration of new technologies, bureaucracy is crucial for scaling them. When institutions fail to adapt to technological change, stagnation inevitably follows. Only by carefully balancing decentralization and bureaucracy can nations innovate and grow over the long term--findings that have worrying implications for the United States, Europe, China, and other economies today. Through a rich narrative that weaves together history, economics, and technology, How Progress Ends reveals that managing the future requires us to draw the right lessons from the past.

Technology, Innovation, and the Fate of Nations

How Progress Ends

Why the consequences of a prolonged period of weaker economic growth will be more profound than anyone dares to predictIn the heady progress of the post-war era, our lifestyles changed, our political systems adapted, and rapid economic growth became the model of every developed economy. But this prevailing consensus is falling apart around us. Growth is now, at best, no more than anaemic. Policymakers dream about an AI revolution and tweak their fiscal rules to accommodate a newly-austere economic reality but, all the while, government debt soars, financial markets become increasingly jittery, and voters lose trust in their politicians.Celebrated economist Stephen D. King asks how our politics will adapt to such persistently low growth. While leaders make fiscal promises based on a future that is unlikely to materialise, nationalism thrives, battlelines are drawn between perceived winners and losers, and the rules-based international order crumbles. The absence of growth triggers invidious political wrangling over tax, welfare, defence and infrastructure, intensifies competition for resources, and leads to social instability.King shows how our new world is governed by them-and-us divisions over limited economic spoils. This is the political economy of plunder.&nbsp;

Winners and Losers in the Low Growth Era

The Age of Plunder

Design AI-powered learning experiences that drive engagement, performance and measurable business impact. Learning Experience Design by Donald Clark is a strategic guide for senior learning professionals who need to modernize learning in an AI-driven world. As organizations adopt generative technologies, this book shows how to move beyond outdated course-led models and build adaptive, human-centred learning ecosystems.Focusing on the evolving role of the learning designer, this updated edition combines learning science, data insight and AI capability to help you design scalable, personalized and effective learning strategies. Drawing on research and real-world examples, it addresses the critical challenges of engagement, ethics and skills sustainability.You will learn how to: -Design AI-enabled learning experiences that adapt to learner needs - Use data, context and performance signals to personalize learning - Integrate simulations, games and workflow learning effectively - Employ ethical AI use and support sustainable skills development - Lead AI learning projects and embed learning into daily workThis book equips you to lead the transformation of learning, delivering smarter, scalable and more impactful outcomes across your organization.Themes include: learning experience design, AI in learning, adaptive learning, workplace learning, learning strategy, performance support

How to Build Effective Learning in the Age of AI

Learning Experience Design

Die hundert Jahre alte Methode, um im Zeitalter der KI Reichtum aufzubauen und zu behalten

Die Reichtumsformel

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

Kooperationswerke Beck - Hart

The Article-by-Article-Commentary on the new EU Law on Artificial Intelligence
This volume provides a comprehensive article-by-article commentary on the new provisions of the Artificial Intelligence Act (AI Act). It contains chapters on, among other things, technical and ethical foundations, responsibility for AI as well as data protection aspects.

The Artificial Intelligence Act provides harmonised rules for the development, marketing and use of AI systems in the EU, including for the safety and fundamental rights of individuals. It thus has a direct legal and economic impact on business activities and the users of AI systems.
The authors describe in detail
which obligations are imposed on providers and commercial users of AI systems,
how such systems can be introduced and used in compliance with the law, and
what requirements are placed on the providers (e.g., developers of an AI application for robot-assisted surgery) and the users of such systems (e.g., the hospital using the AI application in surgery).

Additional content
Systematic presentation of the law of artificial intelligence in Switzerland
Additional chapters, among others, on technical and ethical foundations, on further regulatory frameworks, on the responsibility for AI and on aspects of data protection law

Potential readers
In-house counsels, companies, lawyers, market surveillance authorities, supervisory authorities, business and consumer associations, research institutions, non-governmental organisations, European institutions.

About the contributors
The book is edited by Prof. Dr. Janine Wendt, Chair of Civil Law and Corporate Law at the Technical University of Darmstadt, and Prof. Dr. Domenik H. Wendt, LL.M., Chair of Civil Law, European Business Law and European Law at the Frankfurt University of Applied Sciences. The authors are experts from academia and from legal as well as regulatory practice.

Article-by-Article Commentary

Artificial Intelligence Act

Chapman & Hall/CRC Texts in Statistical Science

From Alan Turing breaking the Enigma code to ChatGPT reshaping how we work and create, artificial intelligence has always been powered by a single unifying principle: learning from data under uncertainty. This book reveals the mathematical machinery behind modern AI, weaving together Bayesian probability, statistical learning, and deep neural networks into a coherent intellectual framework. Whether you seek to understand why large language models hallucinate, how recommendation systems predict your preferences, or what makes reinforcement learning agents master complex games, this book equips you with both the theoretical foundations and practical intuitions that define the modern AI playbook.Key Features:<ul> <li>Builds Bayesian reasoning from first principles through historical examples like submarine search and WWII code-breaking</li> <li>Bridges classical statistics and deep learning, connecting linear regression to transformers</li> <li>Covers the complete AI stack: probability, decision theory, Gaussian processes, neural networks, CNNs, NLP, and LLMs</li> <li>Emphasizes uncertainty quantification-building systems that know what they don't know</li> <li>Practical applications across finance, healthcare, operations, and autonomous systems</li> <li>Emerging topics: AI agents, RLHF, and retrieval-augmented generation</li> </ul>Written for graduate students, data scientists, and quantitatively-minded practitioners, this book assumes comfort with calculus and basic probability while building sophisticated intuitions progressively. Business analysts will appreciate the decision-theoretic framing; engineers will value the architectural insights; researchers will find rigorous foundations for further study. Whether used as a course textbook, professional reference, or intellectual companion for understanding the AI revolution transforming every industry, this book delivers the rare combination of mathematical depth and accessible exposition that makes complex ideas genuinely understandable.

Foundations of Data Science

Bayes, AI, and Deep Learning

Risk, Governance and Society

From Data Analytics to Global Risk Governance

Evolution of Anomaly Detection

Agritech

Digitalisation and Artificial Intelligence in Agritech and Food Supply Chains, Volume I

Law and Practical Reason

Moral Responsibility and Artificial Intelligence

Máquinas predictivas

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