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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

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.

The AI Implementation Guide for L&d

Knowledge Management and Leadership in the AI Era: Harnessing Technology for Innovative Organizations

From the New York Times bestselling authors of Abundance, Bold, and The Future Is Faster Than You Think comes a bold exploration of what it means to stay human in a world where technology has granted us godlike power. In 1968, Stewart Brand declared: “We are as gods—and we might as well get good at it.” Half a century later, that prophecy has come true. We can rewrite genes, edit embryos, build artificial minds, extend life, and terraform worlds. The old miracles—omniscience, omnipresence, even resurrection—are becoming standard operating procedure. But the real question isn’t whether humanity can play god. It’s whether we can do it wisely. In We Are As Gods: A Survival Guide for the Age of Abundance, Peter H. Diamandis and Steven Kotler—bestselling authors of Abundance and Bold—return with a sweeping exploration of our species’ next great transformation. Blending hard science with vivid storytelling, they chart humanity’s ascent from scarcity to superabundance—and the psychological, ethical, and existential challenges that come with it. Across breakthroughs in AI, robotics, genetics, longevity, and consciousness research, they reveal a paradox at the heart of progress: as our external power expands, our inner resilience must evolve to match. Abundance without meaning leads to collapse. Intelligence without wisdom leads to extinction. To thrive in a world of everything, everywhere, all the time, we must learn to wield our godlike powers with humility, creativity, and flow. Equal parts warning and invitation, We Are As Gods is a map for flourishing in the exponential century. Because the future won’t be built by those who fear what’s coming, but by those who know how to turn chaos into creation. Abundance is here. Are you ready?

A Survival Guide for the Age of Abundance

We Are as Gods

Master essential C programming skills to develop efficient and reliable system software and applications. Whether you are a system, network, or cloud engineer-this comprehensive guide is designed to help you tackle complex C programming challenges.

Throughout this book, you will start by learning basic computer system architecture and essential operating systems concepts to implement reliable and efficient C code. You will then progress through essential C programming skills, including arrays, strings, unions, pointers, and memory management, while practicing runtime error handling and best practices. Next, you will be ready for more advanced topics, like system and network programming, before concluding with a deep dive into Linux namespaces and their role in virtualization in cloud environments.

With an emphasis on real-world applications and best practices, this book allows you to experiment with the foundational and advanced constructs for important use cases.

What You Will Learn: 

<ul>
	<li>Implement reliable C programming techniques for handing arrays, struct, pointers, and memory.</li>
	<li>Inspect and manage C processes and threads in a runtime environment.</li>
	<li>Learn essential C socket programming skills, error handing, and usage of socket options to handle network applications reliability.</li>
	<li>Master fundamentals of virtualization concepts using C programming and Linux namespaces.</li>
</ul>

Who This Book is for: 

Beginner System, Network and Cloud Engineers, though intermediate and advanced users will also benefit from mastering essential skill sand exploring advanced coverage.

Master essential C programming skills to develop efficient and reliable system software and applications. Whether you are a system, network, or cloud engineer—this comprehensive guide is designed to help you tackle complex C programming challenges.Throughout this book, you will start by learning basic computer system architecture and essential operating systems concepts to implement reliable and efficient C code. You will then progress through essential C programming skills, including arrays, strings, unions, pointers, and memory management, while practicing runtime error handling and best practices. Next, you will be ready for more advanced topics, like system and network programming, before concluding with a deep dive into Linux namespaces and their role in virtualization in cloud environments.With an emphasis on real-world applications and best practices, this book allows you to experiment with the foundational and advanced constructs for important use cases.What You Will Learn: <ul><li>Implement reliable C programming techniques for handing arrays, struct, pointers, and memory.</li><li>Inspect and manage C processes and threads in a runtime environment.</li><li>Learn essential C socket programming skills, error handing, and usage of socket options to handle network applications reliability.</li><li>Master fundamentals of virtualization concepts using C programming and Linux namespaces.</li></ul>Who This Book is for: Beginner System, Network and Cloud Engineers, though intermediate and advanced users will also benefit from mastering essential skill sand exploring advanced coverage.

Techniques for Processes, Memory, Network Applications, and Linux Namespaces

C Programming for System, Network, and Cloud Engineers

AI Forensics provides the first comprehensive framework for investigating artificial intelligence systems when they fail, cause harm, or become subjects of legal or regulatory scrutiny. As artificial intelligence (AI) systems power critical decisions in healthcare, finance, autonomous vehicles, and public safety, traditional digital forensics techniques prove inadequate for understanding their complex, opaque, and dynamic behaviors.You'll master systematic approaches for evidence collection across distributed cloud environments, training data analysis for bias detection and intellectual property violations, model parameter examination to identify tampering or discrimination, and output analysis to validate system performance and detect adversarial attacks. The book provides detailed investigation templates, Python code examples, and statistical validation techniques that can be immediately applied to active cases. Each chapter builds upon previous techniques, creating an integrated investigation framework that scales from small regional deployments to enterprise systems spanning multiple jurisdictions. Through real-world case studies spanning healthcare bias investigations, financial fraud detection failures, and autonomous system malfunctions, you'll learn to answer critical questions: Was the AI system modified after deployment? Does training data contain unauthorized content? Are there signs of model tampering? Does system behavior match specifications?This practical guide equips forensic investigators, legal professionals, and AI practitioners with specialized methodologies tailored to AI's unique characteristics. It provides both technical depth for expert practitioners and accessible explanations for legal professionals who must understand and present AI evidence in court proceedings.Companion Author Website: https://aiforensicsexpert.com/book.html

Investigation and Analysis of Artificial Intelligence Systems

AI Forensics

The leadership model for a world in motion. 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

Mathematical Methods in the Digital Age

Data science, quantitative analysis, computer optimisation, and machine learning are all explored in this book. Insightful mathematical analysis of ML models is presented in this work. Various fields, including healthcare, banking, and e-commerce, are covered in this book through case studies. To choose features, hyperparameters, and models, the latter shows how optimisation can be implemented. Practical insights on the assessment and improvement of machine learning models in real-world situations, such as e-commerce, healthcare, banking, and agriculture, are included. Professionals in the fields of research, engineering, mathematics, and computer science are the target audience for this book. Through the integration of theoretical principles with&nbsp;practical applications, the usage of computational optimisation techniques in real-time settings is to be enhanced.&nbsp;

Data science, quantitative analysis, computer optimisation, and machine learning are all explored in this book. Insightful mathematical analysis of ML models is presented in this work. Various fields, including healthcare, banking, and e-commerce, are covered in this book through case studies. To choose features, hyperparameters, and models, the latter shows how optimisation can be implemented. Practical insights on the assessment and improvement of machine learning models in real-world situations, such as e-commerce, healthcare, banking, and agriculture, are included. Professionals in the fields of research, engineering, mathematics, and computer science are the target audience for this book. Through the integration of theoretical principles with&nbsp;practical applications, the usage of computational optimisation techniques in real-time settings is to be enhanced.&nbsp;

Machine Learning and Fuzzy Systems

Computational Optimization

The book was inspired by the urgent need for advanced security methods that can keep pace with the increasingly complex nature of modern healthcare systems. In the age of medical networks, incorporating fuzzy logic provides a flexible, adaptive approach to security, enhancing traditional methods of safeguarding patient data, medical devices, and sensitive health records. It presents fuzzy logic as a tool for providing dynamic, intelligent security solutions, exploring its application in risk assessment, anomaly detection, and real-time decision-making processes. By addressing both theoretical frameworks and practical implementations, the book offers comprehensive strategies for establishing resilient, secure healthcare environments. Ultimately, the book is essential reading for healthcare professionals, IT specialists and researchers, and healthcare industries. It provides them with the knowledge to fortify next-generation healthcare systems against cyber threats, ensuring safety and confidence in digital health innovations.

The book was inspired by the urgent need for advanced security methods that can keep pace with the increasingly complex nature of modern healthcare systems. In the age of medical networks, incorporating fuzzy logic provides a flexible, adaptive approach to security, enhancing traditional methods of safeguarding patient data, medical devices, and sensitive health records. It presents fuzzy logic as a tool for providing dynamic, intelligent security solutions, exploring its application in risk assessment, anomaly detection, and real-time decision-making processes. By addressing both theoretical frameworks and practical implementations, the book offers comprehensive strategies for establishing resilient, secure healthcare environments. Ultimately, the book is essential reading for healthcare professionals, IT specialists and researchers, and healthcare industries. It provides them with the knowledge to fortify next-generation healthcare systems against cyber threats, ensuring safety and confidence in digital health innovations.

Artificial Intelligence, Cyber-Physical Systems, and Medical Internet of Things

Healthcare 5.0 with Fuzzy Logic

The Sunday Times and #1 New York Times Bestseller 'The Technological Republic is far too important to ignore' Times Literary Supplement Silicon Valley's brightest minds once collaborated with governments to advance technologies, securing the West's dominance on the global stage. But that relationship has corroded - with perilous repercussions for us all. Lifting the veil on tech giant Palantir and its broader political project, visionary co-founder and CEO Alexander C. Karp and his long-time deputy Nicholas W. Zamiska offer a searing critique of our collective culture of complacency. To regain geopolitical power and preserve our freedoms, we must tackle the world's most pressing challenges - including the artificial intelligence arms race - together and head-on. Now is the time for the West to wake up. 'Bold and ambitious ... Essential reading' Eric Schmidt 'Fascinating' Financial Times 'A stirring manifesto' Niall Ferguson 'Provocative and insightful' Jamie Dimon

Hard Power, Soft Belief, and the Future of the West

The Technological Republic

Die Gefahren der Artificial General Intelligence 

 Elon Musk und Donald Trump kündigen massenhaft Verwaltungsmitarbeitern, um einen KI-Staat zu errichten. Tech-CEOs verkaufen künstliche Intelligenz als Heilsbringer für die größten Probleme der Menschheit, obwohl die entsprechende Industrie auf Ausbeutung und Menschenverachtung beruht.
 

 Warum lässt sich die Öffentlichkeit durch Spekulation über Erlösung oder Auslöschung durch KI von den erheblichen Schäden durch KI in unserer Gegenwart ablenken? Wie erkennen wir die zunehmend faschistischen Tendenzen, die sich im Zusammenspiel von Tech-Industrie und der neuen Rechten bilden?
 

 Rainer Mühlhoff entwickelt Antworten und diskutiert Lösungsansätze.

KI und AGI - Wie Tech-Milliardäre Macht und Zukunft formen

Künstliche Intelligenz und der neue Faschismus

This book addresses the urgent need for AI healthcare insights in a post-pandemic world. It explores the rapidly evolving AI landscape and provides practical, evidence-based guidance drawn from lessons learned during the pandemic. Covering a wide range of topics - from digital health technologies to data analytics and interoperability - it offers a thorough examination of advancements in these areas, giving readers a comprehensive understanding of the industry's transformation. The book goes beyond theory, showcasing practical applications of AI solutions. Real-world case studies and expert perspectives drawn from the pandemic equip readers with actionable insights for implementation in various healthcare settings. With a holistic approach, the book explores not only technological aspects but also ethical considerations, regulatory challenges, and the human impact of digital transformation. This invaluable resource is essential for academics, practitioners, and policymakers in healthcare management, information systems management, healthcare policy, and public health.

This book addresses the urgent need for AI healthcare insights in a post-pandemic world. It explores the rapidly evolving AI landscape and provides practical, evidence-based guidance drawn from lessons learned during the pandemic.

A Transparent Approach to Informatics

AI in Healthcare

Navigating Digital Transformation and Leading Change

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