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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.

Kooperationswerke Beck - Hart

Article-by-Article Commentary

Artificial Intelligence Act

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

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

Swipe, Scan, Shop

Interactive Visual Merchandising

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

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

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

Risk, Governance and Society

From Data Analytics to Global Risk Governance

Evolution of Anomaly Detection

In today’s AI-driven business environment, the ability to translate data into sound decisions is increasingly important. This textbook introduces the foundations and practical applications of business analytics, machine learning, and artificial intelligence. Readers learn how to explore and visualize business data, build and evaluate predictive models, and apply analytical methods to support business decisions.The book progresses from core concepts such as data visualization, optimization, model evaluation, supervised learning, and unsupervised learning to advanced topics in deep learning, computer vision, generative AI, text mining, natural language processing, and large language models. It also addresses the limitations and ethical challenges of AI. Step-by-step explanations, business examples, and Python exercises help readers connect analytical concepts with real-world applications.Designed for students and professionals with little or no prior experience in programming or machine learning, the book develops skills progressively from basic concepts to advanced methods. It prepares readers to select, implement, interpret, and evaluate AI-based analytical approaches for a wide range of business problems.Hyunhwan “Aiden” Lee
 is Assistant Professor of Marketing at California State University, Long Beach, USA. His research focuses on marketing analytics, brand and content analytics, and the application of artificial intelligence to business and marketing problems. His work uses machine learning, natural language processing, computer vision, location-based data analysis, large-scale data analysis, and mathematical modeling.
 Reo Song
 &nbsp;is Professor of Marketing and Director of the M.S. in Marketing Analytics program at California State University, Long Beach. His research focuses on machine learning, AI, business analytics, and digital marketing, with publications in leading journals including&nbsp;
 Journal of Marketing
 &nbsp;and&nbsp;
 Production and Operations Management
 . He has advised organizations on AI and machine learning applications, delivers frequent invited talks on AI and business analytics, and contributes regularly to newspaper columns on AI and digital transformation.

An Advanced Guide to Data-Driven Decision Making

Business Analytics and Artificial Intelligence

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

Build a repeatable capability to create customer value propositions that win in AI-accelerated B2B markets.Creating Customer Value Propositions With AI is a practical guide for senior commercial leaders, sales directors, key account managers and product leaders who need to develop differentiated offers, align cross-functional teams and turn customer insight into measurable revenue growth. Written by Cranfield Visiting Fellows Richard Brooks, Sue Holt and Mark Davies, this book introduces the Offer Development &amp; Innovation (ODI) framework, a three-phase system covering customer needs analysis, offer ideation and customer value proposition development. It shows how AI can support each phase by strengthening analysis, coaching teams and accelerating the work required to build offers customers understand and act on. Moving beyond prompt engineering, this book helps leaders use AI as a strategic partner in complex B2B environments. It equips you to: - Diagnose root-cause customer needs - Build cross-functional offer processes - Quantify value in customer language - Apply AI across ODI stages Shift toward value-based growth Featuring real-world examples from Pfizer, Siemens, ThermoFisher, Grant Thornton, Zoetis and Nylacast, Creating Customer Value Propositions With AI demonstrates how organizations can create unique customer value repeatedly, systematically and faster than the competition.Themes include: customer value propositions, B2B sales strategy, AI for business, offer innovation, value-based selling, commercial transformation

How to Build an Offer that Outsmarts the Competition

Creating Customer Value Propositions With AI

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

Máquinas predictivas

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