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Gesamtkatalog

Catalogue complet

Kesavan K: Navigating Digital
Transformation and Leading Change

Navigating Digital Transformation and Leading Change

Strategies for Thriving in the Age of Innovation and Disruption

Alte Geschichte Forschung

Die digitale Transformation hat nahezu alle Bereiche der Wissenschaft beeinflusst. Für die Untersuchung von altertumswissenschaftlichen Texten und Daten werden immer mehr digitale Werkzeuge genutzt. Dieser Band behandelt die politischen und rechtlichen Rahmenbedingungen, stellt die technischen Werkzeuge (u. a. ChatGPT), die konzeptionellen Grundlagen, wie etwa die der Qualitätssicherung bei digitalen Editionen, Standards zur Datenmodellierung oder die Rolle von Metadaten, sowie Textanalysemethoden vor. Ein Glossar rundet den Band ab und gibt einen Überblick über die wichtigsten Begriffe.

Die digitale Transformation hat nahezu alle Bereiche der Wissenschaft beeinflusst. Für die Untersuchung von altertumswissenschaftlichen Texten und Daten werden immer mehr digitale Werkzeuge genutzt. Dieser Band behandelt die politischen und rechtlichen Rahmenbedingungen, stellt die technischen Werkzeuge (u. a. ChatGPT), die konzeptionellen Grundlagen, wie etwa die der Qualitätssicherung bei digitalen Editionen, Standards zur Datenmodellierung oder die Rolle von Metadaten, sowie Textanalysemethoden vor. Ein Glossar rundet den Band ab und gibt einen Überblick über die wichtigsten Begriffe.

Digitale Transformation der Altertumswissenschaften

Digital Classics

Available open access digitally under CC-BY-NC-ND licence.Mobile apps have transformed how we live, work and connect - but at what cost?This book examines the immense power Apple and Google wield over society, arising from their control of app stores as well as mobile operating systems and browsers. With the EU's new Digital Services Act defining their influence as a potential 'systemic risk', Konrad Kollnig unpacks the implications for competition, privacy, and regulation.Offering a clear roadmap for scholars as well as policy-makers, this book not only reveals the hidden risks of app ecosystems but also outlines practical solutions for ensuring fairer digital markets.

Making Sense of Platform Power in the Age of AI

The App Economy

The Essential Guide to Machine Learning in the Age of AI Machine learning stands at the heart of today's most transformative technologies: advancing scientific discovery, reshaping industries, and transforming everyday life. From large language models to medical diagnosis and autonomous vehicles, the demand for robust, principled machine learning models has never been greater. Machine Learning Foundations, Volume 1: Supervised Learning, offers a comprehensive and accessible roadmap to the core algorithms and concepts behind modern AI systems. Balancing mathematical rigor with hands-on implementation, this book not only teaches how machine learning works, but why it works. As part of a three-volume series, Volume 1 lays the foundation for mastering the full landscape of modern machine learning, including deep learning, large language models, and cutting-edge research. Each chapter introduces core ideas with clear intuition, supports them with rigorous mathematical derivations where appropriate, and demonstrates how to implement the methods in Python, while also addressing practical considerations such as data preparation and hyperparameter tuning. Exercises at the end of each chapter, both theoretical and programming-based, reinforce understanding and promote active learning. The book includes hundreds of fully annotated code examples, available on GitHub at github.com/roiyeho/ml-book, along with six comprehensive online appendices covering essential background in linear algebra, calculus, probability, statistics, optimization, and Python libraries such as NumPy, Pandas, and Matplotlib. <ul> <li>Master the key concepts of supervised machine learning, including model capacity, the bias-variance tradeoff, generalization, and optimization techniques</li> <li>Implement the full supervised learning pipeline, from data preprocessing and feature engineering to model selection, training, and evaluation</li> <li>Understand key learning tasks, including classification, regression, multi-label, and multi-output problems</li> <li>Implement foundational algorithms from scratch, including linear and logistic regression, decision trees, gradient boosting, and SVMs</li> <li>Gain hands-on experience with industry-standard tools such as Scikit-Learn, XGBoost, and NLTK</li> <li>Refine and optimize your models using techniques such as hyperparameter tuning, cross-validation, and calibration</li> <li>Work with diverse data types, including tabular data, text, and images</li> <li>Address real-world challenges such as imbalanced datasets, missing data, and high-dimensional inputs</li> </ul> Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Supervised Learning

Machine Learning Foundations, Volume 1

Successfully Implement AI in L&amp;D, the Learner Experience, and Your Organization
The AI Implementation Guide for L&amp;D is a practical, forward-thinking resource for L&amp;D leaders and practitioners who are navigating the integration of AI within their organizations and looking to drive meaningful, enterprise-wide change.
At the heart of this book is the “AI Implementation Canvas,” a comprehensive planning tool that helps teams design and deploy AI solutions with clarity, care, and confidence. From aligning with business goals to navigating legal and ethical considerations, this book guides readers through every stage of implementation—from experimentation and scaling to governance, measurement, and change management. It offers a powerful lens for understanding how AI affects personal productivity, the learner experience, and organizational transformation.
Filled with actionable insights, reflection questions, and “one small step” challenges, this book equips you to:
<ul>
<li>Identify where AI is already affecting learning and where it should.</li>
<li>Build AI readiness across teams and stakeholders.</li>
<li>Use L&amp;D as a launchpad for broader organizational transformation.</li>
<li>Play a significant role in helping your organization determine how to integrate AI into its operations.</li>
</ul>
If you’re an L&amp;D leader, HR strategist, or enterprise change agent, this book will help you lead an AI-powered transformation—not just in learning, but through learning.

Leading Workplace Impact

The AI Implementation Guide for LD

Quantum Computing

The book explores how quantum computing can protect AI systems from sophisticated adversarial threats. As AI applications grow in sectors like finance, healthcare, and critical infrastructure, vulnerabilities such as data poisoning and model inversion pose significant security risks. This book investigates how quantum methods can effectively counter these challenges.
 

 Distinct from existing literature, it combines theoretical insights with practical applications, covering quantum-enhanced cryptography, quantum machine learning for threat detection, and advanced algorithms tailored for AI. It provides actionable solutions for AI practitioners while also meeting the academic needs of researchers with rigorous mathematical treatments.
 

 The book is targeted at academic researchers, professionals, and graduate students in computer science interested in AI and quantum computing. It goes beyond mathematical concepts to bridge quantum theory and its practical applications across sciences and industries. By offering both foundational principles and advanced quantum defense applications, this book serves as a vital resource for those developing AI systems with robust, quantum-enhanced security.

The book explores how quantum computing can protect AI systems from sophisticated adversarial threats. As AI applications grow in sectors like finance, healthcare, and critical infrastructure, vulnerabilities such as data poisoning and model inversion pose significant security risks. This book investigates how quantum methods can effectively counter these challenges.
 
 Distinct from existing literature, it combines theoretical insights with practical applications, covering quantum-enhanced cryptography, quantum machine learning for threat detection, and advanced algorithms tailored for AI. It provides actionable solutions for AI practitioners while also meeting the academic needs of researchers with rigorous mathematical treatments.
 
 The book is targeted at academic researchers, professionals, and graduate students in computer science interested in AI and quantum computing. It goes beyond mathematical concepts to bridge quantum theory and its practical applications across sciences and industries. By offering both foundational principles and advanced quantum defense applications, this book serves as a vital resource for those developing AI systems with robust, quantum-enhanced security.

Secure Systems, Quantum Blockchain, Adversarial Attacks and Defenses in AI

Quantum Shield for AI security

Kompetenz für Marketing- und Verkaufsverantwortliche

Kompetenzorientiertes Wissen mit Praxisbeispielen, Repetitionsfragen und Antworten

Digital Business für Marketing- und Verkaufsverantwortliche

Future of Business and Finance

This book presents the trends of tech transformation and AI- readiness of emerging economies across regulatory, social, economic, and infrastructure layers. With the increased pace of urbanization, digital transformation, and proliferation of the algorithm economy, data and infrastructural readiness play vital roles in economic growth and development. By taking evidence (theoretical and empirical evidence) from selected emerging economies, this work intends to shed light on the developments and tech-readiness of these economies, focusing on AI solutions with the analysis of tech infrastructure and data readiness.

Besides, it provides an in-depth presentation of empirical evidence on tech transformation and best practices with the constructs for AI tech&nbsp;readiness of emerging economies at national and institutional levels. The studies presented in this edited book will help to bridge the gap in the scanty literature about data, infrastructure, and AI readiness of emerging economies by looking into the challenges and opportunities. Major topics covered include AI solutions in Organizational value creation, green economy, sustainability, positive AI risk monitoring as a tech opportunity, assessment, mitigation, (renewable) energy generation, management&nbsp;and utilization, education, security, healthcare system, and more.

Pioneering Paths for the Global South

Tech Transformation and AI Readiness

Project management (PM) has been an essential area that deals with various decision-making problems. It offers various opportunities to conduct academic studies, formulate new models to solve business problems, and develop software and decision support systems (DSS). It has been attracting the attention of academicians and professionals involved in project teams who studied different disciplines. This book explores contemporary industry problems and trends and related promising research areas, shedding light on the future of project management. It contains chapters that focus on new technology applications and organizational trends. The book comprises two parts: new technologies and recent developments in organizing projects. An important characteristic of this book is to gather the managers and academics who conduct theoretical studies in this field to discuss the future of project management.&nbsp;The discussion topics include how data analytics and artificial intelligence developments might shape project life cycle management and how the fourth/fifth Industrial Revolution and the new technologies will transform project management practices. The importance of sustainability in project management practices is elaborated on. Recent developments in the organization of projects, such as adopting agile techniques, establishing project management offices, and developing maturity models, are discussed.&nbsp;

As such, the book is aimed at a diverse audience of undergraduate and graduate students and practitioners seeking to develop their project management knowledge.

Agile Decision Making, Sustainability and AI

Tomorrow's Data Empowered Project Management

KI ist längst nicht mehr nur ein Thema für Forschungslabore: Sie beeinflusst Medizin, Finanzentscheidungen, Kundenkommunikation und zunehmend auch operative Abläufe in Unternehmen. Gerade deshalb wird eines zur Schlüsselkompetenz unserer Zeit: eine klare Übersicht darüber zu haben, wie KI-Systeme manipuliert werden können, um Risiken früh zu erkennen, richtig einzuordnen und handlungsfähig zu bleiben.
Ob als Awareness-Werkzeug, Risikokatalog, Kommunikationshilfe oder Recherchebasis: Dieses Kompendium hilft, die verborgene Verwundbarkeit intelligenter Systeme zu erkennen, nicht um Panik zu erzeugen, sondern um informierte Entscheidungen zu ermöglichen.

Angriffspunkt KI

Synthetic Media, Deepfakes, and Cyber Deception: Attacks, Analysis, and Defenses introduces the only analytical Synthetic Media Analysis Framework (SMAF) to help describe cyber threats and help security professionals anticipate and analyze attacks. This framework encompasses seven dimensions: Credibility, Control, Medium, Interactivity, Familiarity, Intended Target, and Evocation. Synthetic media is a broad term that encompasses the artificial manipulation, modification, and production of information, covering a spectrum from audio-video deepfakes to text-based chatbots. Synthetic media provides cyber attackers and scammers with a game-changing advantage over traditional ROSE attacks because they have the potential to convincingly impersonate close associates through text, imagery, voice, and video. This burgeoning threat has yet to be meaningfully addressed through any written treatment on the topic. The book is co-authored by three cyber influence and deception experts who have gained deep knowledge and experience on the topic through diverse, true operational pathways and backgrounds. The diversity and perspectives of the author team makes the content in the book the broadest and deepest treatment of synthetic media attacks available to readers.

Attacks, Analysis, and Defenses

Synthetic Media, Deepfakes, and Cyber Deception

Digitalisierung ist kein Technologiethema allein. Digital Mindset zeigt, wie Unternehmen mit der richtigen Haltung, klaren Prioritäten und praxiserprobten Maßnahmen nachhaltig erfolgreich transformieren. Statt Buzzwords liefert das Buch Orientierung im digitalen Dschungel: Es räumt mit Mythen auf, erklärt relevante Trends verständlich und rückt den Menschen in den Mittelpunkt. Die neue Auflage ist in Sprache und Struktur geschärft, enthält aktualisierte Beispiele aus dem Mittelstand sowie kompakte Tools fuer die Umsetzung im Alltag - von der Strategie bis zur Wirkungsmessung.

Digital Mindset

The leadership model for a world in motion. Today’s business environment demands more than traditional leadership—it requires adaptability, strategic vision, clarity, and courage. Fit for Uncertainty is your essential guide to leading through complexity with purpose and resilience. Drawing from a career of executive leadership in Financial Services technology, Marianne Bachynski introduces a practical model for adaptive leadership rooted in six essential principles: <ul> <li>Strategic Leadership</li> <li>An Adaptive Mindset</li> <li>Humility and Empowerment</li> <li>Accountability and Focus</li> <li>Effective Communication</li> <li>Cultural Transformation</li> </ul> With powerful real-world insights, Fit for Uncertainty shows you how to build empowered teams, make decisions with confidence, and drive meaningful change—even when the path ahead is unclear. Whether you’re navigating disruption, scaling transformation, or building a change-ready culture, this book equips you to lead with purpose and adapt to change in any environment. Fit for Uncertainty helps you shift from reaction to intention—leading with strategic clarity, a human-centered approach, and the agility to thrive in disruption.

Lead with Purpose, Adapt to Change

Fit for Uncertainty

Navigating Digital Transformation and Leading Change

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