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Gesamtkatalog

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Dieses E-Book wurde nicht gemäß der W3C EPUB Accessibility Guidelines oder PDF UA Standards für eine barrierefreie Zugänglichkeit optimiert. Es enthält ggfs. nicht-barrierefreie Elemente.

Nicht barrierefrei oder bekanntermaßen eingeschränkt barrierefrei

Keine Barrierefreiheitsoptionen des Lesesystems aktiv deaktiviert (außer)

Produkt vom BFSG ausgenommen: barrierefreie Adaption stellt unverhältnismäßige Belastung für den Hersteller dar

Tom James

Harald Schönfeld

Karriere mit KI

Wie Sie Künstliche Intelligenz zu Ihrem Erfolgsbooster machen

Intelligent Control and Learning Systems

This book provides a new perspective on omics data modelling and analysis in bioinformatics area. Taking into consideration on the high-dimensionality and nonlinearity properties in omics data, the book detangles nonlinearity of data through novel perspectives of matrix optimization. Through integration of machine learning frameworks, various novel techniques are proposed to deal with the complexity of omics data analysis. Intuitive examples and illustrations are provided to help readers for understanding the key idea and general procedures in omics data analysis. This book is intended for academic scholars and practitioners who are interested in learning, computational biology, optimization and related fields. The graduate students in the above field can also benefit from this book.

Theory and Applications

Kernel Methods for Omics Data Mining

Master's Thesis from the year 2025 in the subject Leadership and Human Resources - Recruiting, grade: 1,2, University of Applied Sciences Dortmund, language: English, abstract: This master's thesis explores the role of artificial intelligence (AI) in modern recruitment processes with a particular focus on applicants' trust. As digitalization and AI increasingly transform the world of work, organizations are adopting AI-supported recruiting tools to enhance efficiency, standardization, and data-driven decision-making. At the same time, the use of AI in personnel selection raises important questions regarding transparency, fairness, and acceptance from the applicants' perspective.

The objective of this thesis is to examine how applicants perceive AI-assisted recruitment processes and which aspects are relevant for the development of trust in this context. To address this research objective, a qualitative research design was chosen. Semi-structured interviews were conducted with participants who had either experienced AI-supported recruitment processes or reflected on their expectations toward such processes.

The empirical data were analyzed using qualitative content analysis following Kuckartz' approach. This method allows for a systematic examination of subjective perceptions, attitudes, and evaluations, while combining theory-driven and data-driven coding. The analysis focuses on applicants' experiences with different forms of AI usage in recruitment, their expectations toward human and technological decision-making, and their assessment of AI-supported processes within the broader candidate journey.

By linking theoretical concepts of trust in technology with empirical insights from applicants, this thesis contributes to the growing body of literature on AI in recruiting. In addition, it provides a structured foundation for further academic research and offers valuable insights for organizations seeking to better understand applicant perspectives on AI-supported recruitment processes.

Artificial intelligence in the recruitment process. How can companies gain applicants' trust?

Future of Business and Finance

This book explores how artificial intelligence disrupts the cognitive foundations of human expertise. It introduces the AI-Competency Ceiling and the Procedural Memory Paradox—concepts that explain how AI-assisted performance accelerates early skill acquisition while impeding mastery. Drawing from neuroscience, skill acquisition theory, and over 150 years of technological disruption, the book presents a revised Dreyfus model, and case studies from Netflix to Toyota demonstrating the core messages of the book. It offers strategic frameworks for preserving cognitive capital, including Strategic Workforce Management, Meta-Intelligence Development, and mechanisms for sustainable AI adoption. More than a guide to adaptation, it challenges readers to consider whether thinking remains fundamentally human when cognition is outsourced.
An essential reading for executives, strategists, policymakers, and educators navigating the tension between operational excellence and cognitive resilience.

Why AI Doesn’t Replace Jobs, but Reshapes Organizational Competence

The AI Competency Paradox

Finding Heart-Led Career in the Age of AI

A Soulful Transition

The Key Driver of the Innovation Engine

Understanding the AI Economy

edition suhrkamp

Was kommt danach?

Liberale Demokratie ohne Zukunft

SpringerBriefs in Health Care Management and Economics

This book explores the impact of Generative Artificial Intelligence (AI) on the value co-creation process within inter-organizational networks, providing theoretical and practical perspectives on value creation in networks and on technological diffusion. Specifically, the author examines Precision Medicine (PM) networks in Italy, where technology is crucial in sharing and analyzing clinical data. By adopting an ecosystem perspective, Generative AI can enhance healthcare efficiency by increasing the speed and accuracy of diagnosis and treatment, and foster collaborative networking, as real-time data sharing facilitates streamlined communication among healthcare professionals, ensuring multidisciplinary patient care. Its analytical and predictive capabilities also enable personalized and tailored therapies by anticipating patients’ treatment needs. The book proposes a conceptual framework for mapping the critical stages of the value co-creation process and identifies the enablers and barriers of Generative AI within such networks. This book is a valuable resource for scholars, researchers, academics, professionals, and policymakers interested in the development of more resilient and value-driven healthcare networks.

Insights from Inter-Organizational Networks

The Power of Generative Artificial Intelligence for Value Co-Creation in Healthcare

B2B sales is changing faster than anyone expected, and AI isn't coming for your job; it's coming for your habits.

"Yourself Augmented" is the modern playbook for salespeople who want to stay relevant, irreplaceable, and radically effective in the AI era.

This book takes you beyond theory into real, practical examples showing how to master the three core channels of modern outreach: Email, LinkedIn, and Cold Calls. You'll learn what great outreach really looks like today, how to craft personalized messages that sound human, and how to use AI to build human relationships, not meaningless automation.

From decoding buyer signals to writing messages that actually earn replies, from using AI to think sharper (not lazier) to handling complex cold-call scenarios - this is a one-stop guide for modern sellers who refuse to sound like robots.

If you've ever wondered how to blend human judgment with AI - to work 10x faster, sell smarter, and still feel authentic - this book will show you how to become the kind of seller no algorithm can ever replace!

Tell your Manager "I'm Not Replaceable"

Yourself Augmented

Der Online-Handel steht vor einer Revolution: E-Commerce wird zum KI-Commerce. Dieses Buch zeigt, wie KI den Handel neu definiert – von innovativen Shoppingoberflächen und -zugängen sowie personalisierten Einkaufserlebnissen über intelligente Plattformlösungen bis hin zu automatisierten Prozessen in Marketing und Supply Chain. Es beleuchtet die Plattformökonomie als Gewinner der digitalen Transformation und aktuelle Entwicklungen wie Agentic Commerce, KI-basierte Shoppingoberflächen. Praxisbeispiele aus Unternehmen wie u.a. Shein, Temu und TikTok Shop veranschaulichen neue KI-basierte Geschäftsmodelle und Technologien. Mit einem klaren Fokus auf die Verbindung von Theorie und Praxis bietet das Buch Strategien, Werkzeuge und Handlungsempfehlungen für Fach- und Führungskräfte, die den Wandel aktiv gestalten wollen. Denn KI ist kein Zusatz mehr, sondern der Kern des Erfolgs im digitalen Handel.

Intelligenter E-Commerce und KI-basierte Plattformlösungen im Online-Handel

Der neue KI-Commerce

Writing Creativity and Soul

A town spoke. Something larger answered.

In September 2025, a township board in rural Michigan voted to reject a data center. Two days later, the developer sued. Within three weeks, the project was approved anyway.

THIS IS SERVER COUNTRY tells-through vivid narrative and clear-eyed analysis-the story of America's largest private infrastructure buildout. A trillion dollars. Six hundred projects. A power grid racing to keep up.

This book follows the people caught in the buildout, explains how the machines actually work, and asks why farmland instead of shuttered factories. It traces the current backward from silicon in Taiwan to sandy loam in Saline-and reveals who builds, who benefits, and who pays, where local zoning meets great-power politics.

The book covers: How AI inference works and why it demands unprecedented compute power. 
Why data centers choose farmland, not cities. 
The trillion-dollar capital wave reshaping American infrastructure. 
State incentive wars and community resistance. 
The nuclear renaissance and natural gas reality.
Export controls and the geopolitics of AI.



The railroads opened the West. The interstates created the suburbs. The AI boom follows the same pattern, at faster speed-but to what end, we know not yet.

AI, Power, and the Remaking of Rural America

This Is Server Country

In einer Welt, in der Künstliche Intelligenz, Blockchain und Big Tech die Märkte in Rekordtempo umwälzen, stellt sich für Anleger nur eine Frage:&nbsp;
 

 Wie unterscheidet man einen nachhaltigen Trend von einer gefährlichen Spekulationsblase? "Tech Money" liefert die Antwort durch ein messerscharfes, datenbasiertes System. Anstatt auf vage Prognosen zu setzen, führt Igor Pejic die Leser durch 100 ausgewählte Charts, welche die verborgenen Muster der Technologiezyklen offenlegen. Sie lernen nicht nur, die Mechanismen hinter exponentiellem Wachstum zu verstehen, sondern entwickeln eine klare Strategie für den idealen Ein- und Ausstieg. Dieses Buch ist der strategische Masterplan für alle, die technologische Disruption nicht nur beobachten, sondern aktiv zur massiven Vermögensbildung nutzen wollen.

Börsenerfolg mit Alphabet, Nvidia und Co

Tech Money

Karriere mit KI

Autres titres sur ce thème