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Digitalisierung und Recht

Dieses Buch zeigt Marketingverantwortlichen, wie sie sich von der Ausführung einzelner Aufgaben zur Orchestrierung spezialisierter KI-Agenten weiterentwickeln, und welche Prozesse, Tools und Kompetenzen sie dafür benötigen. Agentic Marketing meint ein koordiniertes System von KI-Agenten, das innerhalb menschlich gesetzter Werte und Ziele autonom plant, entscheidet und handelt - und die gesamte Wertschöpfung orchestriert, von Insights bis zum Lernen auf Organisationsebene. Florian Stompe erläutert den Paradigmenwechsel anhand einer herstellerunabhängigen Referenzarchitektur, konkreter Implementierungsstrategien für Multi-Agenten-Workflows und der Integration bestehender MarTech-Systeme. Ein Buch für Entscheider ohne Entwicklungshintergrund, die den Wertbeitrag von KI-Agenten fundiert einschätzen möchten. Mit Fallbeispielen, Checklisten und einem direkt anwendbaren Fahrplan."Florian Stompe legt den Finger auf die entscheidende Leerstelle im heutigen MarTech-Stack: die fehlende, herstellerunabhängige Orchestrierungsschicht. Er denkt die Agentic-Marketing-Debatte konsequent von der Architektur her - klar, fundiert und praxisnah." Dr. Ralf E. Strauß, Managing Partner MarketingTechLabDer Inhalt<ul><li>Der Paradigmenwechsel - Vom Ausführen zum Führen</li><li>Von Chatbots zu Multi-Agenten-Systemen</li><li>Die Zukunft von Marketing-Teams</li><li>Eine Agentic-Marketing-Referenzarchitektur</li><li>Data Layer - Das Gedächtnis des Systems</li><li>Decisioning Layer - Das Gehirn des Systems</li><li>Design &amp; Distribution Layer - Erlebnis und Ausführung</li><li>Orchestrierung, Governance &amp; Measurement</li><li>Multi-Agent-Workflows implementieren</li><li>Tools und Plattformen</li><li>Integration entlang der 4D-Schichten</li><li>Change Management und neue Rollen</li><li>Was schiefgehen kann - Risiken und Vermeidungsstrategien</li><li>Szenarien für 2028</li><li>Dein Fahrplan startet jetzt </li></ul>

Wie Marketingverantwortliche Multi-Agenten-Systeme orchestrieren

Agentic Marketing - KI-Agenten als Team

Hart Studies in Private Law

This book provides a comprehensive study of two parallel notions of civil and common law: cause and consideration. It does this in three ways; with historical, comparative, and functional perspectives. Aspects of cause and consideration are hotly contested by contract lawyers and this book will bring clarity by looking at the English and Continental positions. Key areas of focus include: enforceability, questions of legality and morality, contractual justice, and the correction of unjustified property displacements. Bringing together a team of experts, the book discusses (in some cases for the first time in English) complex questions of both academic and practical importance.

Exploring the Foundations of Contract Law

Cause and Consideration

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

Mastering Business Analytics

Data Analytics for Strategic Decisions explores how businesses can harness the power of data, technology, and analytics to make strategic decisions that drive growth and innovation. It provides a comprehensive guide to integrating business strategy with data-driven methodologies, offering practical tools and insights for modern organizations.Readers will gain a deep understanding of how to transform data into actionable insights, improving decision-making across marketing, finance, operations, and strategy. The book combines theoretical foundations with real-world applications, including case studies, datasets, and practical exercises. It also addresses emerging topics like AI, predictive analytics, and data governance, ensuring readers are equipped with cutting-edge knowledge and skills.This book is designed for undergraduate and master's students in Business Administration, Business Analytics, and Digital Transformation, as well as professionals seeking to enhance their data-driven decision-making capabilities. It is ideal for courses in Business Analytics, Data Analytics for Business, Business Intelligence, and Digital Transformation.The book includes supplementary materials such as datasets for practical exercises, case studies, and discussion questions, making it suitable for both classroom and online learning environments.

Fundamentals of Business Technology and AI Integration

Data Analytics for Strategic Decisions

Innovations in Intelligent Internet of Everything IoE

Biomedical Applications of AI and IoMT in Smart Healthcare

Research in Creative Writing

Writing Human in the Age of AI

A cult masterpiece and darkly comic tale of survival on the high seas by an enigmatic bestselling author believed to have inspired Roberto Bolaño’s 2666 A Penguin Classic Stateless and stranded after he loses his passport, sailor Gerald Gales flees arrest and persecution across Europe, until he finally finds work on the Yorikke, a decrepit “death ship” bound for destruction. Condemned to stoke the furnaces, Gales must navigate a labyrinth of surreal rules and the brutal realities of life at sea if he is to make it out alive. First published in 1926 and thought to bear the traces of the mysterious author B. Traven’s own experience of migrating to Mexico, The Death Ship is a darkly absurd, raging tale about what it takes to survive when life is cheap. Penguin Classics is the leading publisher of classic literature in the English-speaking world, representing a global bookshelf of the best works throughout history and across genres and disciplines. Readers trust the series to provide authoritative texts enhanced by introductions and notes by distinguished scholars and contemporary authors, as well as up-to-date translations by award-winning translators.

A cult masterpiece and darkly comic tale of survival on the high seas by an enigmatic bestselling author believed to have inspired Roberto Bolaño’s 2666 A Penguin Classic Stateless and stranded after he loses his passport, sailor Gerald Gales flees arrest and persecution across Europe, until he finally finds work on the Yorikke, a decrepit “death ship” bound for destruction. Condemned to stoke the furnaces, Gales must navigate a labyrinth of surreal rules and the brutal realities of life at sea if he is to make it out alive. First published in 1926 and thought to bear the traces of the mysterious author B. Traven’s own experience of migrating to Mexico, The Death Ship is a darkly absurd, raging tale about what it takes to survive when life is cheap. Penguin Classics is the leading publisher of classic literature in the English-speaking world, representing a global bookshelf of the best works throughout history and across genres and disciplines. Readers trust the series to provide authoritative texts enhanced by introductions and notes by distinguished scholars and contemporary authors, as well as up-to-date translations by award-winning translators.

The Death Ship

'An excellent look at what Palantir does, as well as a fascinating insight into the mind of its eccentric chief executive' TelegraphPalantir Technologies is the most interesting company in the world -&nbsp;and the most controversial.&nbsp;Palantir builds data integration software: its technology ingests vast quantities of information and quickly identifies patterns, trends and connections that might elude the human eye. Founded in 2003 to help the U.S. government in the war on terrorism - an early investor was the CIA - Palantir is now a $400 billion global colossus whose software is used by major intelligence services (including the Mossad), the U.S. military, the National Health Service in England, and corporate giants like Airbus and BP. From AI to counterterrorism to climate change to immigration to financial fraud to healthcare to the future of warfare, the company is at the nexus of the most critical issues of the twenty-first century.&nbsp;Its billionaire CEO, Alex Karp, is a distinctive figure on the global business scene. A biracial Jew who is also severely dyslexic, Karp has built Palantir into a tech giant despite having no background in either business or computer science. Instead, he's a trained philosopher who has become known for his strongly held views on a range of issues and for his willingness to grapple with the moral and ethical implications of Palantir's work. Those questions have taken on added urgency during the Trump era, which has also brought attention to the political activism of Karp's close friend and Palantir co-founder Peter Thiel.&nbsp;In The Philosopher in the Valley, journalist Michael Steinberger is the first to tell the story of Alex Karp and Palantir from the beginning. Steinberger offers new biographical details and a rich psychological portrait of the man leading one of the world's most secretive companies. Full of revelations, this is an urgent and insightful book about technological power, the surveillance state and the future we all face.

Alex Karp, Palantir and the Rise of the Surveillance State

The Philosopher in the Valley

Dieses Buch bietet eine interdisziplinäre und praxisnahe Auseinandersetzung mit dem Thema KI-Kompetenz im österreichischen Kontext. Die Autorinnen des Bandes untersuchen, welche individuellen, organisationalen, rechtlichen und gesellschaftlichen Kompetenzen und Rahmenbedingungen erforderlich sind, um den Umgang mit Künstlicher Intelligenz verantwortungsvoll zu gestalten. Im Mittelpunkt steht die Frage, wie KI-Kompetenz über Bildung, Governance und institutionelle Strukturen hinweg gefördert, vermittelt und nachhaltig verankert werden kann.
Das Herausgeberwerk spannt den Bogen von der nationalen KI-Strategie und dem europäischen Rechtsrahmen (EU AI Act) über Kompetenzmodelle und AI-Literacy-Ansätze bis hin zur Umsetzung in Unternehmen, der öffentlichen Verwaltung, Hochschulen und weiteren gesellschaftlichen Handlungsfeldern. Die Beiträge verbinden wissenschaftliche Erkenntnisse mit Praxisperspektiven und beleuchten Fragen der Governance, Qualifizierung, organisationalen Transformation und gesellschaftlichen Teilhabe. Zugleich rückt das Buch die demokratischen, ethischen und gesellschaftlichen Dimensionen von KI-Kompetenz in den Fokus. Medien- und Demokratiekompetenz, Civic AI Literacy sowie Gender- und Diversitätsperspektiven werden dabei als zentrale Dimensionen einer verantwortungsvollen KI-Kompetenz verstanden.
Das Buch richtet sich an Entscheidungsträger:innen in Politik, Verwaltung und Organisationen, an Fachleute aus Bildung, Forschung und Personalentwicklung sowie an zivilgesellschaftliche Akteure. Es bietet theoretische Orientierung, empirische Einblicke und konkrete Gestaltungsperspektiven für alle, die den verantwortungsvollen Einsatz von KI in Österreich aktiv mitgestalten möchten.

Interdisziplinäre Perspektiven auf Bildung, Organisationen und Gesellschaft

KI-Kompetenz in Österreich

How AI is transforming consulting and professional services, plus a new model for the future.Artificial intelligence has disrupted the world of expertise. Work that once required teams of highly trained professionals--research, analysis, modeling, and drafting--can now be completed in seconds. For consulting firms, law firms, accounting practices, and other professional-service organizations, the implications are profound. The very activities that have long generated revenue, developed talent, and sustained competitive advantage are rapidly being transformed. How do firms built on human expertise create value in a world where machines can now think alongside us?In The Future of Expertise, innovation expert David Duncan offers a compelling answer. Drawing on more than two decades of experience at McKinsey, at Clayton Christensen's advisory firm, and on the front lines of AI-enabled consulting, Duncan argues that the basic structure of professional-service firms must be reinvented. He introduces a new model for the AI era: a leaner, more agile "obelisk" structure that replaces the traditional professional-services pyramid with smaller, highly skilled teams augmented by AI.Through real-world examples from consulting, law, accounting, and corporate strategy, Duncan shows how AI is reshaping everything from client expectations to firm economics and profitability to talent development and leadership. He examines why the apprenticeship model that was used to train generations of professionals is breaking down, how firms can rethink careers and capability building, and what new forms of value clients will demand as routine expertise becomes automated.Provocative and deeply insightful yet practical, The Future of Expertise is an essential guide for leaders navigating the next era of knowledge work.

AI and the Reinvention of Professional Services

The Future of Expertise

**This edition will be released in March 2027. If you want to get a copy ahead of then, have a look at our hardback edition, released in May 2026.** 'If you're worried about wasting your life, read this book.' Rutger Bregman, author of Humankind A ridiculously in-depth guide to finding a fulfilling and impactful career in an age of AI. You have about 80,000 hours in your career: 40 hours a week, 50 weeks a year, for 40 years. This means your choice of career is the most important decision you'll ever make. Choose well, and you can have a more rewarding, interesting life, and also help solve some of the world's most pressing problems. Choose poorly, and you could waste decades. So what should you do? Most advice is based on no research, instead offering (misleading) platitudes like 'follow your passion'. It's surprisingly out of date, focusing on traditional paths rather than those most likely to thrive in an age of AI. And if you want to help others, the advice is even more simplistic: telling you to choose careers like nurse or doctor, when there are paths in which almost anyone can save more lives. In fact, some careers have hundreds of times more impact than others, but most of us have no idea which ones. Benjamin Todd is the founder of 80,000 Hours, a non-profit that's spent over ten years researching how to have a meaningful and impactful career. Here he introduces a tried-and-tested toolkit framework that has already led thousands of people to change their path. It covers:<ul><li>What really makes for a dream job, and why finding it probably doesn't involve 'following your passion'.</li><li>How to identify which global problems are most pressing, and why they might involve AI as much as climate change.</li><li>Which roles are likely to be automated, and how to ensure yours isn't among them.</li></ul> It's also full of practical tips and tools. You'll come away with a plan to use your 80,000 hours in a way that's rewarding and fulfils your potential to make a difference. 'This career guide is among the most thoughtful and grounded I've seen.' Cal Newport, author of Deep Work 'A remarkably rigorous guide about how to find that perfect career for you.' Ali Abdaal, author of Feel-Good Productivity 'Based on evidence and good sense, not platitudes.' Steven Pinker, author of The Better Angels of our Nature 'The most informative book you can read if you're stuck trying to make one of life's most important decisions.' Hannah Ritchie, author of Not the End of the World

How to Have a Fulfilling Career That Does Good

80,000 Hours

Wiley Finance

The handbook to unleash the power of AI in Finance with guidance to pragmatically managing AI Risk Are you ready to harness the transformative potential of artificial intelligence and machine learning in finance while effectively managing the associated risks? "AI and Risk Management in Finance: A Practitioner's Handbook" by Sri Krishnamurthy, CFA, is your indispensable guide. Tailored for financial professionals, this comprehensive handbook delivers practical insights, case studies, and frameworks to navigate the complex landscape of AI and ML in the financial sector. This pragmatic handbook, developed primarily for professionals involved in designing, developing, and deploying AI models in the financial industry explores cutting-edge technologies, regulatory landscapes, and pragmatic frameworks. From generative AI to robust risk management strategies, this handbook equips you with the tools you need to validate models, ensure compliance, and operationalize AI risk management effectively. Leveraging lessons from QuantUniversity's AI and Machine Learning Risk Management program offered in 18 countries, this book focuses on enabling practitioners apply the state-of-the-art AI and machine learning techniques factoring unique risks specific to the financial services domain. Whether you're a seasoned professional or a newcomer, this book offers invaluable insights for harnessing the power of AI responsibly in the financial industry. Highlights of the Book: <ul> <li>Machine Learning and AI in Financial Services: Dive into the fundamentals of ML and AI, exploring various applications within the financial industry through real-world case studies.</li> <li>Generative AI and LLMs in Finance: Understand the emerging landscape, key players, and advanced concepts like prompt engineering and fine-tuning with practical examples.</li> <li>Risk Management for AI/ML Applications: Learn about current and emerging regulatory landscapes, AI risk management frameworks, and legislative efforts shaping the field.</li> <li>Data Governance Issues: Address critical aspects of data quality, privacy, security, and governance, with actionable frameworks and illustrative case studies.</li> <li>Model and System Governance: Gain insights into validating machine learning models, quantifying model risk, and ensuring robust system governance with MLOps and model monitoring.</li> <li>Key Risk Assessment Facets: Focus on documentation, explainability, fairness, security, and reliability with detailed case studies.</li> <li>Verification and Validation: Distinguish between verification and validation and learn frameworks for effective AI application validation.</li> <li>Algorithmic Auditing: Conduct comprehensive algorithmic audits with detailed processes and real-world examples.</li> <li>Operationalizing AI Risk Management: Discover ten essential strategies for implementing AI risk management practices effectively in your organization.</li> </ul> Prepare for the future of finance with expert advice and actionable strategies. Don't miss out on this comprehensive guide-your roadmap to navigating AI and risk management in the financial sector.

A Practitioner�s Guide to Machine Learning, Generative AI, Agentic Systems, and Responsible Deployment

AI and Risk Management in Finance

Digitalisierung und Recht

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