Über uns

À propos de nous

Open Access

Karriere

Carrière

Aboverträge Kündigen

Résiliation d’abonnement

Vertrag widerrufen

Résiliation de contrat 

Datenschutz

Protection des données

Impressum

Mentions légales

Barrierefreiheit

Accessibilité

Zahlung und Lieferung

Paiement et livraison

Libra

Was ist Libra?

C'est quoi Libra ?

Kostenlos testen

Tester gratuitement

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Aktienrecht

Droit des sociétés anonymes

Persönlichkeitsrecht

Droit de la personnalité

Publikationen

Publications

Literatur

Digitales Angebot

Bücher

Livres

Buchreihen

Collections

Onlinemodule LEXIA

Modules en ligne LEXIA

recht.ch

Studienliteratur

Littérature pour les études

Swisslex

Dienstleistungen

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Open Access Policy

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Unser Magazin

Notre magazine

Vision und Mission

Vision et mission

Partner

Partenaires

Unternehmenskultur

Culture d'entreprise

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Sortiment & Suche

Catalogue & Recherche

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Fachkatalog Recht

Catalogue de droit

 Anonymous

Nutzung von Business Intelligence zur Identifikation und Entwicklung digitaler Geschäftsmodelle

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.

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.

An Advanced Guide to Data-Driven Decision Making

Business Analytics and Artificial Intelligence

'This view from the other side of the search box is both charming and insightful, tapping into a deep well of curiosity.' Tim Harford, author of How to Make the World Add UpEver wondered what goes through other people's minds - our silly questions, inner anxieties, hopes and dreams?In this hopeful and insightful book, Google Data Editor Simon Rogers explores insights from the world's biggest dataset: an epic snapshot, two decades long and counting, of our collective brain. What it reveals about us might surprise you.<ul><li>In June the UK sees a spike in searches for 'how to help a bee'</li><li>London is the top place on earth searching for 'tell the time drunk'</li><li>Around the world, it's 2am when parents want to know how to get their baby to sleep</li><li>Searches for 'how to help' are at an all-time high</li></ul> Brimming with insights that vary from the playful to the profound, What We Ask Google delves into the momentous and the mundane secrets of what we ask when we get the chance to ask anything, offering a surprisingly hopeful picture of humankind.'In a time when the news is so relentlessly gloomy, this book provides a ray of hope.' Daily Mail'Deserves a place on any bathroom bookshelf' Guardian

A surprisingly hopeful picture of humankind

What We Ask Google

Advanced technologies like Artificial Intelligence, the Internet of Things, Big Data and Cyber Physical Systems are not only reshaping business operations but also redefining competition across industries. 
Integrating 4IR and 5IR Technologies for Digital Business Innovation provides an understanding of the characteristics and implications associated with Industry 4.0 and 5.0 technologies. It also offers frameworks for integrating these technologies into business operations to foster innovation, enhance efficiency, and gain a competitive edge. Furthermore, the book offers insights and frameworks for integrating these technologies into business operations to foster innovation, enhance efficiency, and gain a competitive edge and investigates the paths of these technologies and their potential impact on various industries. 
Perspectives from a range of experts in divergent fields makes this an invaluable resource suitable for various audiences: from business executives and entrepreneurs to scholars and students alike this publication serves as a reference material that equips them with knowledge and tools necessary for thriving in the era of intelligent technology.

Integrating 4IR and 5IR Technologies for Digital Business Innovation provides an understanding of the characteristics and business operations and management implications associated with Industry 4.0 and 5.0 technologies such as AI, IoT and Big Data.

Integrating 4ir and 5ir Technologies for Digital Business Innovation

Implement AI strategies to optimize performance and deliver stronger customer experiences in tourism. Technology-Led Tourism is a practical guide for managers, department heads and industry professionals who want to develop credible strategies for applying AI across the travel sector. It bridges the gap between technology and tourism, offering frameworks you can implement to enhance both operational efficiency and guest engagement.Written by Shaon Talukder, this book draws on detailed real-world examples from Expedia, Amadeus, Delta Airlines and Airbnb to show how AI principles are already reshaping travel. With insights from adjacent industries such as finance and media, it highlights proven approaches that tourism professionals can adapt to stay competitive. You'll learn how to: - Apply AI frameworks to optimize operations and decision-making - Develop data foundations that enable scalable, reliable innovation - Implement principles from other industries to strengthen strategy - Build credibility by applying actionable tools to your own context - Translate AI opportunities into measurable career and business impact With clear models, real-world examples, and actionable guidance, Technology-Led Tourism equips mid- to senior-career professionals to implement strategies that not only improve performance but also elevate their role as informed, forward-looking leaders in the industry.Themes include: AI in tourism, travel strategy, data frameworks, operational efficiency, customer experience, innovation adoption

Leveraging AI, Data and Analytics in Travel

Technology-Led Tourism

This book offers a multidisciplinary analysis of the technologies that are transforming financial services, markets, and regulation. It examines the rise of digital payments, peer-to-peer lending, challenger banks, blockchain, big data, cybersecurity, and artificial intelligence. It aims to bridge the gap between theoretical knowledge and practical application while also offering guidance on how individuals, businesses, and financial institutions can leverage fintech innovations to their advantage. Not only does it discuss the current fintech trends but also explores future developments and potential disruptions in the financial sector. In an era where fintech is transforming traditional finance, this book addresses the growing need for accessible, up-to-date, and reliable information on the subject. It will be an essential resource for academics, researchers, students, and practitioners seeking to navigate the ever-evolving financial landscape.Brian Lucey&nbsp;
 is a Professor of International Finance at Trinity Business School, Ireland. Professor Lucey has worked as a statistician in the Department of Health and as an economist in the Central Bank.&nbsp;He has studied at graduate level in Canada, Ireland, and Scotland, and holds a PhD from the University of Stirling.
 Vincenzo Verdoliva
 is Professor of Finance at Pegaso Digital University, Italy. His main research interests include market liquidity, credit risk and financial distress, initial public offerings and venture capital, FinTech and digital transformation, lending, and relationship banking. He also serves as an Associate Editor of 
 The European Journal of Finance
 .

This book offers a multidisciplinary analysis of the technologies that are transforming financial services, markets, and regulation. It examines the rise of digital payments, peer-to-peer lending, challenger banks, blockchain, big data, cybersecurity, and artificial intelligence. It aims to bridge the gap between theoretical knowledge and practical application while also offering guidance on how individuals, businesses, and financial institutions can leverage fintech innovations to their advantage. Not only does it discuss the current fintech trends but also explores future developments and potential disruptions in the financial sector. In an era where fintech is transforming traditional finance, this book addresses the growing need for accessible, up-to-date, and reliable information on the subject. It will be an essential resource for academics, researchers, students, and practitioners seeking to navigate the ever-evolving financial landscape.

The Innovations Reshaping the Financial Landscape

The FinTech Frontier

Tech, War and the Fight for Humanity

Thundercloud

Alles, was 2026 datenschutzrechtlich wichtig ist, in einem praktischen Datenschutzpaket!

Unternehmen und Einrichtungen müssen sicherstellen, dass die Vorgaben des aktuellen Datenschutz- und IT-Sicherheitsrechts eingehalten werden - v.a. beim Umgang mit personenbezogenen und sensiblen Daten.

Mit dem "Datenschutz-Paket 2026" bekommen sie eine hilfreiche Unterstützung an die Hand. Es enthält eine bewährte Zusammenstellung der wichtigsten Muster, Checklisten, Vorlagen und Informationen zum Nachlesen, die sie für die Umsetzung des aktuellen Datenschutzrechts auf europäischer und nationaler Ebene (DSGVO, BDSG, TDDDG, Data Act etc.) benötigen.

Sammlung mit Vorlagen, Merkblättern und Mustern rund um den Datenschutz

Das Datenschutz-Paket

nuggets

Technische Innovationen wie das Internet der Dinge, Cloud Computing und Big Data revolutionieren nicht nur die Produktion und die Nutzung von Gütern. Sie verändern auch das Marketing, denn sie ermöglichen eine nie dagewesene Vernetzung, Datenanalyse und Interaktivität.
Das zeigt sich eindrucksvoll am Beispiel Digitaler Zwillinge, die - als virtuelles Abbild eines Produkts - die reale mit der digitalen Welt verbinden. Unternehmen geben sie die Möglichkeit, smarte, individualisierte Produkte und Services zu gestalten, die sich individuell auf die Nutzerbedürfnisse einstellen. Digitale Zwillinge sind der Schlüssel, um innovative Produkte effizient zu entwickeln, zu überwachen, zu steuern und zu optimieren. Zudem können sie auch bei der Prognose von Kundenverhalten helfen.
Kerstin Pezoldt erklärt in diesem nugget-Band kompakt und präzise was Digital Twins im Produktlebenszyklus leisten und welche Rolle sie bei der Vermarktung von Konsumgütern spielen, etwa bei PKWs und Smartphones aber auch bei Haushaltsgeräten und nicht zuletzt bei sog. Smart-Home-Lösungen.

Definition, Funktionsweise und Nutzungsoptionen

Digitale Zwillinge im Marketing

Routledge Studies in Marketing

Examining how artificial intelligence is affecting business and customer interactions, this book offers a blend of academic and practical expertise on how emerging technologies can create meaningful engagement while businesses maintain their human-centric approach.Spanning the development of AI-powered personalization, predictive analytics, chatbots, and virtual assistants, this book demonstrates how companies can leverage these technologies to create brighter, quicker, and more people-focused customer experiences. In addition to the opportunities, it also examines ethical issues, implementation difficulties, and the skills necessary to be ready for an AI-driven future. Contributors explain not only what AI can do but also demonstrates how organizations across various industries are leveraging AI to boost engagement, loyalty, and efficiency. With case studies, practical frameworks, and forward-looking analysis, the book will be useful in providing actionable takeaways for the fast-changing world of customer experience.This book will be of interest to scholars of digital marketing and consumer research. It will also be of interest to practitioners and MBA students.

Strategies for Human-Centric and Intelligent Engagement

Artificial Intelligence and Customer Experience

'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

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

Nutzung von Business Intelligence zur Identifikation und Entwicklung digitaler Geschäftsmodelle

Weitere Titel zum Thema