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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.

A guide to communicating professionally and authentically in today's workplace. Whether you are a leader, manager, or ambitious young professional, this book provides strategies you can use to communicate effectively and professionally without losing your own voice, command a room without dominating it, and inspire action without forcing it. Drawing on the author's experience teaching Business Communication courses and working for both international organizations and startups, you'll be equipped with proven techniques you can apply right away. Grounded in real-world examples, including how to write a persuasive email, how to navigate a difficult conversation with a colleague, how to craft an engaging virtual presentation, and how to effectively use AI as a support tool, Buxton covers all you need to know about written, spoken, and digital forms of communication.

Speaking and Writing with Professional Impact

Magnetic Communication

FOUNDATIONS OF FINANCIAL DATA SCIENCE: METHODS, MODELS, AND APPLICATIONS

Cybersecurity has become a contractual issue, yet many legal professionals are expected to deal with it without a technical background. Cybersecurity Contracts Essentials provides the essential knowledge needed to understand the foundations of the field, interpret technical issues and assess their legal and commercial consequences. Covering software security, identity management, communications, security testing and managed security services, it explains how cybersecurity obligations, risks and responsibilities are translated into contracts. Written for lawyers and other legal professionals, the book offers a practical basis from which readers can develop their own informed understanding of cybersecurity and work more confidently with technical specialists, suppliers and clients. This title is included in Bloomsbury Professional's Cyber Law online service.

Cybersecurity Contracts Essentials

Tech, War and the Fight for Humanity

Thundercloud

Visionary marketing insider, Christian Muche, Founder of the annual Possible conference, has built his career by turning bold ideas into transformative platforms that shape industries and inspire global audiences. In The Future Possible, Christian shares the latest groundbreaking innovation at the intersection of marketing and technology so that businesses of all types can learn what is needed to succeed over the coming decades.The key themes include: <ul><li>Trust as the primary currency (earned, measured, defended).</li><li>Moments as the flywheel that turns attention into adoption.</li><li>Networks as the distribution logic for ideas, products, and reputation.</li></ul>This is the playbook to building trust-first brands that travel across markets and media. Chapters include executive frameworks that leaders can apply immediately, and a clear way to lead through AI acceleration, cultural volatility, and the post-attention economy without whiplash.

The platform-backed blueprint for building the next generation of market-leading brands.

Leadership, Human Connection, and Creating What Comes Next

The Future Possible

Environmental Intelligence in Sustainable Hospitality Operations provides a comprehensive, accessible, and data-led approach for achieving sustainability through the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) across hospitality operations.The volume explains how smart sensors, real-time environmental monitoring, predictive analytics, and intelligent automation can optimize energy and water consumption, reduce food and material waste, enhance indoor air quality, and support carbon reduction strategies in hotels, resorts, restaurants, and allied tourism services. Chapters introduce practical frameworks for designing and implementing smart sustainable systems, including digital dashboards, AI-enabled decision models, and performance indicators aligned with environmental, social, and governance (ESG) requirements, supported with international applied case studies throughout. The book also addresses critical implementation issues such as data management, ethics, cybersecurity, investment justification, and organizational readiness.By combining environmental science with hospitality innovation, this innovative and timely book offers a comprehensive guide for researchers, students, industry professionals, and policymakers seeking scalable pathways toward low-carbon, resource-efficient, and resilient hospitality operations.

AI and The Internet of Things Implications

Environmental Intelligence in Sustainable Hospitality Operations

The edited volume explores the building blocks of the new EU Product Liability Directive. Offering normative and comparative perspectives, it examines its role within the broader legislative framework. The volume also looks specifically at its application to artificial intelligence. Rigorous and comprehensive, it is a magisterial overview of this transformational legislation.

Doctrinal, Comparative and Interdisciplinary Approaches

The 2024 Product Liability Directive

"In one wide-ranging volume, Lambert and the country reporters demonstrate that law can not only keep up with technological change, but can in fact stay well ahead by anticipating upcoming questions. This comprehensive comparative reference will be invaluable for lawyers and students." (Professor Joshua Fairfield. Washington and Lee University School of Law, Review of a previous edition) Bringing together a global team of authors, the International Handbook of Social Media Laws covers the law relating to social media across 34 countries in total. From influential social media defamation cases in Australia, to tweeting from court, and regulations enforced by the UK's Online Safety Act 2023, this book clearly articulates the main legal issues and developments across various legal jurisdictions, to ensure a company's social media presence is fully compliant with the law of each country. The third edition has been fully updated to incorporate new criminal and civil case law, and covers topics including: - Online abuse, online bullying and cyberbullying laws - Laws or rules specific to children and social media - Bans or restrictions on the use of, or access to, the internet or social media, including the influential TikTok, Inc. v. Garland case in the US - Use of social media as evidence in courts - Hacking and data breach laws. Contributors to the volume each provide coverage of their own country, ensuring the volume is both authoritative and practical. Countries represented include: Argentina, Australia, Belgium, Brazil, Bulgaria, China, Czech Republic, Denmark, El Salvador, Estonia, Finland, France, Germany, Greece, Hungary, India, Ireland, Italy, Malta, Mexico, New Zealand, Norway, Senegal, Serbia, Singapore, Slovenia, South Africa, Spain, Sweden, Switzerland, Taiwan, United Kingdom, United States and Uruguay. This title is included in Bloomsbury Professional's Intellectual Property and IT online service.

International Handbook of Social Media Laws

This book presents a comprehensive and integrated framework for managing market and liquidity risk in trading and investment portfolios. By combining theoretical rigor with machine learning-driven modeling and empirical validation, it addresses a critical gap in current financial literature: the joint modeling of interdependent risk dimensions through advanced data science techniques.The book bridges the divide between academic theory and real-world practice, demonstrating how machine learning can be systematically applied to model complex risk behaviors, capture regime shifts, and improve portfolio resilience. Traditional risk frameworks often struggle to handle nonlinear, high-dimensional, and heavy-tailed market dynamics. In contrast, this book integrates ML-based optimization techniques—covering liquidity proxies, price impact models, Liquidity-Adjusted Value-at-Risk (LVaR), and regime-switching volatility structures—to offer a more adaptive and robust risk management paradigm. Each chapter offers a balance of quantitative depth and application-oriented insight, enabling readers to connect rigorous research with day-to-day decision-making in risk and portfolio management.Mazin A. M. Al Janabi
 is a distinguished scholar and practitioner in finance, banking, and financial engineering with more than three decades of experience spanning science, technology, and academia. He holds a PhD in Nuclear Engineering from the University of London (UK) and has held senior management roles at ING-Barings and BBVA, including Director of Global Market Risk Management and Head of Trading Risk. A Full Research Professor, he has served at leading institutions such as EGADE Business School (Mexico), United Arab Emirates University, and Al Akhawayn University (Morocco). His research, published in top-tier journals including the 
 European Journal of Operational Research
 , 
 International Review of Financial Analysis
 , and 
 Annals of Operations Research
 , explores market and liquidity risk in both emerging and developed markets. Prof. Al Janabi is also the developer of the “Al Janabi Model” for Liquidity Risk Management, recognized in academic literature for its innovation. As a research fellow at the Economic Research Forum (ERF) and a frequent keynote speaker, he continues to shape contemporary discourse in proprietary trading, market liquidity, and financial risk analytics.

This book presents a comprehensive and integrated framework for managing market and liquidity risk in trading and investment portfolios. By combining theoretical rigor with machine learning-driven modeling and empirical validation, it addresses a critical gap in current financial literature: the joint modeling of interdependent risk dimensions through advanced data science techniques.The book bridges the divide between academic theory and real-world practice, demonstrating how machine learning can be systematically applied to model complex risk behaviors, capture regime shifts, and improve portfolio resilience. Traditional risk frameworks often struggle to handle nonlinear, high-dimensional, and heavy-tailed market dynamics. In contrast, this book integrates ML-based optimization techniques—covering liquidity proxies, price impact models, Liquidity-Adjusted Value-at-Risk (LVaR), and regime-switching volatility structures—to offer a more adaptive and robust risk management paradigm. Each chapter offers a balance of quantitative depth and application-oriented insight, enabling readers to connect rigorous research with day-to-day decision-making in risk and portfolio management.

A Unified Machine-Learning-Compatible Framework for Proprietary Trading, Portfolio Management, and Financial Stability

Quantitative Market and Liquidity Risk Analytics

Hart Studies in Comparative Public Law

Theory, Practice and Problems

Automation in Governance

Law and Practical Reason

Moral Responsibility and Artificial Intelligence

**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

Máquinas predictivas

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