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Gesamtkatalog

Catalogue complet

Computer Science (R0)

Byeong Gi Lee

Understanding the Digital and AI Transformation

&lt;p&gt;Introduction to Digital and AI Transformation.- Foundation of Digital Transformation.- Digital Platforms.- Digital Technology.- Artificial Intelligence.- Digital and AI Transformation in Industry.- Digital and AI Transformation in Society.- Challenges of Digital and AI Transformation.&lt;/p&gt;


Routledge Advances in Management and Business Studies

This book covers the relationship between artificial intelligence and sustainability goals, bringing together cutting-edge research and insights from business researchers and practitioners.Through real-world case studies from a variety of industries and regions around the world, the book examines how AI can optimise processes, reduce carbon footprints, and support climate action. It also delves into the ethical considerations of deploying AI in an environmentally conscious manner, ensuring that AI's benefits are realised without compromising the planet's well-being.A valuable resource for academics in the fields of AI, sustainability, and business practices. The book will also interest university administrators, industry professionals, and policymakers seeking to drive positive, sustainable change in their respective fields.

Strategies for Modern Businesses

AI-Powered Sustainability

This open access book assesses whether European data regulation can be amended in light of contemporary technological developments. In an era when data powers our daily lives, economies and societies, data regulation is essential. However, European data regulation is still premised on concepts and foundations that were developed more than 50 years ago. The book offers an in-depth exploration of the European data regulatory landscape, from its historical roots to the challenges posed by new technological advancements. Through a detailed legal and technical analysis, it explores key data categories - such as anonymised, pseudonymised, aggregated, sensitive data, and metadata - highlighting their fluid and changing nature and the growing possibilities for transitioning between them. By identifying regulatory tensions and challenges arising from various technologies, such as AI, Big Data, and quantum computing, the book offers policymakers, legal scholars, computer scientists and data protection experts different perspectives on how to reshape future privacy and data protection legislation in a rapidly advancing technological world. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com.

The Past, Present, and Future of European Data Regulation

B2B marketers face unique challenges, including non-linear buyer journeys, multiple decision-makers, and long sales cycles, alongside the (mis)perception of their work being boring and lacking in creativity. Written by a seasoned industry practitioner, The Future of B2B Marketing: Harnessing AI to Unlock Smarter Decisions offers original insights and guidance into the evolving B2B landscape, showing how artificial intelligence can be applied at every stage of the buying journey - from capturing awareness from the right audience and generating quality engagement through to optimizing measurement and performance. It serves to both guide experienced professionals while also supporting those new to the industry, offering reminders, confidence-building, and practical approaches for navigating the everyday complexities of B2B marketing. Combining research, frameworks, case studies, and career-focused advice, this book helps marketers embrace new technologies and learn how to put AI into practice, using their own judgement and expertise to act effectively - and ultimately make smarter decisions.

Harnessing AI to unlock smarter decisions

The Future of B2B Marketing

Transforming Global Healthcare: The Role of AI and IoT in Modern Medical Systems explores the transformative potential of the integration of technologies such as AI, Big Data, IoT, and Blockchain in the healthcare sector. This comprehensive volume aims to illustrate how these advanced technologies can address sustainability challenges, improve decision-making processes, and enhance overall healthcare delivery. By mapping existing knowledge and forecasting future trends, the book provides a detailed roadmap for sustainable healthcare development.Key features include: - Explores AI, big data, IoT, and blockchain in healthcare in-depth. - Provides actionable strategies for energy management, waste disposal, and green supply chains - Provides in-depth coverage of real-time health monitoring, predictive analytics, robotic surgery, and AI medical imaging. - Provides insights into preventing drug counterfeiting, managing pharmaceutical cold chains, and optimizing supply chains. - Comprises a comparative analysis of global healthcare systems, telemedicine evolution, and future digital health trends.

The Role of AI and IoT in Modern Medical Systems

Transforming Global Healthcare

This open access book critically analyses a wide range of consumer law issues generated or exacerbated by the Internet of Things. The Internet of Things challenges many of the dichotomies which have shaped current laws: goods-services, hardware-software, tangible-intangible, online-offline. The book focuses on 4 specific challenges: things-as-service, liability, bricking of physical devices through software control, and the potential for enhanced personalisation, especially for digital assistants. The chapters analyse specific applications such as smart homes, connected cars, and consumer wearables with a view to providing innovative solutions to the new challenges posed by the Internet of Things, and to steer the development of the Internet of Things in a fairer direction. As well as offering an important analysis of the potential for smart consumer laws in the Internet of Things, the book also provides important insights into the growing divergence between Germany's and the UK's consumer laws since Brexit. The ebook editions of this book are available open access under a CC BY 4.0 licence on bloomsburycollections.com. Open access was funded by UKRI (Arts and Humanities Research Council) and the German Research Foundation (DFG).

Lessons from Germany and the United Kingdom

From Smart Technologies to Smart Consumer Law

Cut through the hype. Master the basics. Transform your work

How to AI

edition suhrkamp

Was kommt danach?

Liberale Demokratie ohne Zukunft

A Commentary

The EU Artificial Intelligence Act

Predictable Ops is a practical leadership framework for IT operations leaders and their business partners navigating the complexities of AI-driven transformation. The book delivers eight clear rules grouped into two tracks: Operational Trust and Preparation &amp; Foresight. This system helps leaders build reliable, cost-aware, resilient services — and lead decisively when machine-driven insights must be balanced with human judgment.

Each rule includes real-world anecdotes — from cloud migrations and vendor licensing negotiations to critical incident communications and team accountability gaps. Predictable Ops makes the system repeatable through reflection questions, templates, and ‘Try It This Week’ actions.

Where other books focus narrowly on DevOps, SRE, or AI strategy, Predictable Ops bridges the daily realities of operations leaders who must stabilize services while explaining the risks and value of AI to partners who depend on them.

With trust, clear forecasting, transparent communication, and decisive leadership, Predictable Ops shows readers how to deliver services that stay stable, boring, and trusted — so that AI and future platforms multiply value instead of chaos.

Predictable Ops 
 is a practical leadership framework for IT operations leaders and their business partners navigating the complexities of AI-driven transformation. The book delivers eight clear rules grouped into two tracks: Operational Trust and Preparation &amp; Foresight. This system helps leaders build reliable, cost-aware, resilient services — and lead decisively when machine-driven insights must be balanced with human judgment.
 
 Each rule includes real-world anecdotes — from cloud migrations and vendor licensing negotiations to critical incident communications and team accountability gaps.&nbsp;
 Predictable Ops
 makes the system repeatable through reflection questions, templates, and ‘Try It This Week’ actions.
 Where other books focus narrowly on DevOps, SRE, or AI strategy, Predictable Ops bridges the daily realities of operations leaders who must stabilize services while explaining the risks and value of AI to partners who depend on them.
 With trust, clear forecasting, transparent communication, and decisive leadership,&nbsp;
 Predictable Ops
 shows readers how to deliver services that stay stable, boring, and trusted — so that AI and future platforms multiply value instead of chaos.
 &nbsp;

Leading IT in the Age of AI

Predictable Ops

Lecture Notes in Operations Research

Proceedings of the International Conference on Business Analytics in Practice (ICBAP 2025), Piraeus, Greece

Advanced Data Analytics, Machine Learning and AI in Business

Das erste Lexikon im Fintech-Bereich stellt mit über 800 Stichworten einschlägiges Know-how zur „Financial Technology“ bereit und hilft damit bei der Klärung aktueller Begrifflichkeiten. Dem interdisziplinären Charakter der Fintech-Entwicklung zufolge sind die Begriffe an der Schnittstelle von (Wirtschafts-)Informatik, Finanzwissenschaft und Innovationsmanagement verortet. Die Fintech-Terminologie richtet sich dabei mit ihren konzise beschriebenen und mit anschaulichen Grafiken ergänzten Inhalten gleichermaßen an Studierende sowie Interessierte aus Wissenschaft und Praxis.
 
 Die AutorenProf. Dr. Rainer Alt ist Professor für Wirtschaftsinformatik an der Universität Leipzig und Autor zahlreicher Publikationen im Fintech-Bereich.&nbsp;Dr. Stefan Huch ist Senior Director bei Capgemini Invent und vertritt die Professur Digitalisierung von Unternehmensprozessen an der Hochschule Merseburg.
 
 Würdigungen„Aus meiner Sicht als Führungskraft einer global agierenden Bank ist das Fintech-Lexikon ein sehr gelungenes Nachschlagewerk, das alle relevanten Begrifflichkeiten in einer sehr verständlichen Art strukturiert darstellt und erläutert- eine gute Stütze, um in der Praxis die relevanten Begrifflichkeiten der Fintech-Szene im Überblick zu haben." Achim Lebeau, COO, DB Privat- und Firmenkunden AG„Selbst gründen bedeutet in vielen Bereichen ins kalte Wasser geworfen zu werden. Man muss in kürzester Zeit zum Allround-Experten werden: im Sales, im Marketing, im Finance oder im Fundraising. Hier eine strukturierte Übersicht aller Begrifflichkeiten der Startup-Welt an der Hand zu haben, ist eine enorme Hilfe.“ Jenny Saft, Geschäftsführung und Co-Founderin, Oviavo GmbH„Dieses Fintech-Lexikon bietet einen hervorragenden Orientierungsrahmen, indem es alle relevanten Begrifflichkeiten im Kontext der digitalisierten Finanzwelt aufgreift. Diese sind konsequent strukturiert und inverständlichen Worten definiert. Ein wertvoller Beitrag für die Praxis.“ Thomas Zerndt, CEO, Business Engineering Institute St. Gallen AG

Dieses Buch hilft dem Leser im Umfeld der Digitalisierung bei der Begriffsklärung und stellt einschlägiges Know-how zur Verfügung.&nbsp;Was bedeutet 42? Was ist eine Subchain? Was ist der Unterschied zwischen Robotics und Artificial Intelligence? Der Schwerpunkt liegt dabei auf den Entwicklungen, die seit 2010 mit der Digitalisierung unter dem Namen "Financial Technology" eine zunehmende Verbreitung erlebt haben. Die Begrifflichkeiten umfassen grundlegende Begriffe, die Eingang in die allgemeine Sprache gefunden haben, wie etwa Artificial Intelligence oder Blockchain, aber auch fachspezifische Termini, die für das Verständnis der einzelnen Technologien notwendig sind (zum Beispiel 42, Nonce). Die Fintech-Terminologie bietet dem Leser einen konzisen und gleichzeitig anschaulich dargestellten alphabetisch geordneten Überblick mit den darin enthaltenen praxisorientierten Antworten.

Begriffe für die digitalisierte Finanzwelt

Fintech-Lexikon

Management for Professionals

While tenders for IT managed services have evolved, key areas that drive significant business value for customers have seen limited improvement. When collaboration between IT service providers and customers stagnates, the next innovation cycle may not begin for another three years. In today’s fast-paced business environment, few industries can afford such delays. Adaptive IT tenders aim to shorten this cycle, with a stronger focus on innovation and collaboration. These approaches are not just suited to agile companies, but also to more traditional organisations.
This book provides all stakeholders involved in the tendering and management of IT services with a practical set of methods for adaptive tendering. Whether you are part of the executive board, management, a specialist department, IT, sales, purchasing, legal, consulting, or operations, the book offers in-depth guidance on adaptive strategies, comparing them to traditional approaches. Additionally, a glossary is included to ensure clarity and help close any knowledge gaps.

The Path to Agile and Effective IT Outsourcing

Adaptive IT Service Tendering

Understanding the Digital and AI Transformation

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