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Dieses E-Book wurde gemäß der W3C EPUB Accessibility Guidelines oder PDF UA Standards für eine barrierefreie Zugänglichkeit geprüft. Es genügt den grundsätzlichen Anforderungen an Barrierefreiheit zu

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Das Erscheinungsbild aller Textinhalte kann angepasst werden

Juan Falcon

AI Unleashed Transforming Organizations in the Intelligent Era

The Definitive 2025-2035 Playbook

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;
                <br>
                Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.
                <br><br><br>

Artificial Security and the Politics of Hype in the EU


<p>
</p><p><b>A dazzling exploration of the phenomenon of prediction betting markets that asks: what happens when democracy becomes another commodity?</b><br><br>For many, Donald Trump's decisive election victory over Kamala Harris in 2024 was a shock. Traditional polls had the race on a razor's edge. But, for those with eyes on prediction betting markets, a very different story was being told. <br><br>In recent years, prediction markets have swept the world, fundamentally changing the nature of the gambling market, and making their youthful pioneers billionaires. Posed as binary 'Yes/No' questions about future events, prediction bets allow any difference of opinion - whether on politics, wars, assassinations or popular culture - to be financialised.<br><br>But are these markets really a new phenomenon? What does it mean when markets get closer to the truth than the institutions we built to protect us? And what happens when those tasked with safeguarding democracy possess financial stakes in its volatility?<br><br>From Renaissance Rome, where merchants wagered on papal conclaves, through London coffee house gossip during the Napoleonic Wars, to the Pentagon's ill-fated terrorism futures exchange, <i>The Big Bet</i> describes the full five-hundred-year arc of a permissive regime which no one designed and no one voted for.<br><br>Drawing on deep expertise, Michael Auerbach examines how these markets are changing our world, and what they mean for the future of our democratic self-governance. Because they are not an anomaly - they are the logical endpoint of a society that has applied market capitalism to every aspect of life. And in a world when everything is a wager and nothing is off limits, knowing where the chips will fall matters more than ever.</p><p></p>


Prediction Markets and the Future of Democracy

The Big Bet

Scam World

Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications

<p>This book introduces cutting-edge computational optimization techniques designed especially for AI enabled systems. These techniques inculcate advanced algorithms with real world applications to enhance efficiency and accuracy. Its focus on the hybrid and ensemble models makes it stand out, presenting novel and creative solutions for the complex problems. Through case studies and real-world applications the book not only highlights the theoretical aspects of the optimization techniques but also provides a link between theory and practice. With the help of clear explanations and practical examples the book empowers the readers to delve into the complex problems and providing optimized solutions leading to enhancing the performance of AI enabled systems.&nbsp;</p><p>The book explores the advanced computational optimization techniques covering wide range of topics like nature-inspired algorithms, metaheuristics and hybrid optimization methods. This book caters the need of AI researchers, data scientists and machine learning engineers who aim to optimize their models and algorithms. It will be a valuable resource for the academicians and students studying AI and its related subfield. Professionals in the field of finance, healthcare, agriculture, education where AI applications are prevalent, will benefit from the practical insights provided. Overall, it caters to anyone interested in enhancing AI systems through sophisticated optimization strategies.</p>

Computational Optimization Techniques for Artificial Intelligence Enabled Environments

Beck international


<p>
<strong>The Book</strong><br>Artificial Intelligence will profoundly shape the future economy and society. Whereas the potential benefits are notable and desirable, the risk of serious harm is considerable. The new EU AI Act 2024/1689 therefore seeks to provide a legal framework to regulate AI systems in the EU.<br>Written by an international team of experts, this Article-by-Article Commentary provides a comprehensive analysis and explanation of each of the provisions of the AI Act to assist in the interpretation and application. Each commentary follows a clear and uniform structure, also providing key information on the function and context of each provision. Where appropriate, practice tips are also given.<br><br><strong>The Advantages at a Glance</strong></p><ul><li>Comprehensive analysis</li><li>International team of renowned experts</li><li>Clear and uniform structure</li></ul><br><strong>The Target Group</strong><br>For in-house counsel, legal practitioners, scholars, supervisory authorities, industry groups.<p></p>


Article-by-Article Commentary

Artificial Intelligence Act


<p>
</p><p><b>What separates brands that lead their category from those still chasing it? Velocity - directional momentum built through community, AI and strategic speed.</b><br><i>Velocity Marketing</i> provides mid to senior marketing professionals with a comprehensive implementation system for building brands that compound. This practitioner's field manual bridges three decades of traditional brand-building principles with the systems, behaviours and community dynamics building the most valuable brands of the next decade. It translates complex emerging technology - AI, community mechanics, decentralised ownership - into immediately actionable marketing strategy.<br>Drawing on field-tested frameworks including the One Rule Formula, Velocity Loops and the Decentralised Brand Scorecard, every chapter delivers strategic depth alongside practical 'Monday Morning Moves' that teams can implement within days. Featuring real-world examples from Nike, Adidas, Lufthansa, Starbucks and other major organisations, this book demonstrates how forward-thinking brands are building compounding momentum through community collaboration, AI-enhanced operations and velocity-driven learning systems.<br>Whether you lead marketing at a Fortune 500 enterprise or a growth-stage mid-market organisation, Velocity Marketing is the definitive implementation guide for building brands that never stop earning their place.</p><p></p>


B2B Brand Building, Momentum and Category Leadership

Marketing at Velocity

<p>The demand to keep up with ongoing innovation can be intense in the fast-changing realm of high technology and academic research. Authored by experienced hi-tech industry veterans, this book explores how to navigate the challenges faced in fast-paced industries such as semiconductors, artificial intelligence, and advanced research while staying true to one's passions and purpose. It discusses the importance of continuous learning, unlearning outdated paradigms, and relearning new skills to remain relevant and resilient. The book emphasizes the power of aligning your work with your values and high standards to achieve personal success and create a meaningful impact on the world. A collection of inspiring success stories from diverse pioneers in high-tech and academic fields, along with the author's own experiences, highlights the strategies and mindsets needed to develop groundbreaking technologies and nurture the next generation of innovators.</p><p><em>Innovate, Adapt, Thrive: Mastering Change in High-Tech and Academia</em>
                     is not just a guide to personal and professional growth but a call to action for readers to carry forward the legacy of innovation and purpose. Whether you're pushing the boundaries of technology or nurturing the next generation of visionary thinkers, it gives you the inspiration and tools to make a meaningful mark on the future.
                </p><ul><li>Offers strategies for staying relevant in fast-evolving industries via continuous learning, unlearning, and relearning;</li><li>Provides insights on mentoring the next generation of leaders, ensuring the legacy of innovation and purpose continues;</li><li>Features real-life stories of innovators and leaders who left a lasting impact in high-tech fields and academia.</li></ul>

Mastering Challenges and Change in High-Tech and Academia

Innovate, Adapt, Thrive


<p>
</p><p><b>Design AI-powered learning experiences that drive engagement, performance and measurable business impact.</b><br><b><br><i>Learning Experience Design</i></b> by <b>Donald Clark</b> is a strategic guide for senior learning professionals who need to modernize learning in an AI-driven world. As organizations adopt generative technologies, this book shows how to move beyond outdated course-led models and build adaptive, human-centred learning ecosystems. </p><p>Focusing on the evolving role of the learning designer, this updated edition combines learning science, data insight and AI capability to help you design scalable, personalized and effective learning strategies. Drawing on research and real-world examples, it addresses the critical challenges of engagement, ethics and skills sustainability. </p><p>You will learn how to: <br>-Design AI-enabled learning experiences that adapt to learner needs<br>- Use data, context and performance signals to personalize learning<br>- Integrate simulations, games and workflow learning effectively<br>- Employ ethical AI use and support sustainable skills development<br>&gt;This book equips you to lead the transformation of learning, delivering smarter, scalable and more impactful outcomes across your organization. </p><p><b><i>Themes include: </i></b><i>learning experience design, AI in learning, adaptive learning, workplace learning, learning strategy, performance support</i></p><p></p>


How to Build Effective Learning in the Age of AI

Learning Experience Design


<p>
Responsible AI Product Development shows how data, product and tech leaders can drive the development and deployment of trusted, responsible AI and navigate the associated risks and pitfalls. 

The book is designed for data, product and tech leaders who are seeking to implement structure and processes to ensure the development of responsible AI products compliant with best practice and key regulatory requirements. It guides readers from inception and team setup of AI through to use case development, full deployment, and monitoring, equipping them with the knowledge and tools they need to ensure an ethical and trusted product. It also helps readers understand the risks and challenges in AI product deployment, giving them guidance on what is important and how to avoid common mistakes.

Responsible AI Product Development offers coverage of the real lifecycle process, from thought exercise to ideation, development, creation, testing and delivery including post-delivery care and end of life management. It combines coverage of ethics and transparency with the technical, procedural and development-focused fundamentals, such as MLOPs, ModelOps, AIOps, TDD and SDLC guidance. It also considers key issues such as cybersecurity and DevSecOps, data architecture, collection and visualisation, team structure and processes, project documentation, business continuity and disaster recovery, AI governance and compliance and AI sustainability.</p>


How Tech Leaders Can Build and Deploy Useful AI

AI Development


<p>
</p><div><div>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.</div><div><br></div><div>Die Autoren</div><div>Prof. Dr. Rainer Alt ist Professor für Wirtschaftsinformatik an der Universität Leipzig und Autor zahlreicher Publikationen im Fintech-Bereich.&nbsp;</div><div>Dr. Stefan Huch ist Senior Director bei Capgemini Invent und vertritt die Professur Digitalisierung von Unternehmensprozessen an der Hochschule Merseburg.</div><div><br></div><div>Würdigungen</div><div>"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</div><div>"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</div><div>"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</div><p></p>
</div>

Begriffe für die digitalisierte Finanzwelt

Fintech-Lexikon


<p>
<b>The edited volume explores the building blocks of the new EU Product Liability Directive. </b>Offering normative and comparative perspectives, it examines its role within the broader legislative framework. The volume also looks specifically at its application to artificial intelligence. Rigorous and comprehensive, it is a magisterial overview of this transformational legislation.</p>


Doctrinal, Comparative and Interdisciplinary Approaches

New Product Liability Directive


<p>
Entdecken Sie den Fachkommentar zur europäischen KI-Verordnung für Polizei und Sicherheitsbehörden in Deutschland!

Dieser Fachkommentar zur KI-Verordnung legt den Fokus auf die entscheidenden Vorschriften, die für die Sicherheitsbehörden von großer Bedeutung sind. Dabei werden die Regelungen im Kontext der aktuellen und zukünftigen technologischen Entwicklungen erläutert, die bereits heute in der Inneren Sicherheit eingesetzt werden und künftig noch stärker zum Tragen kommen dürften. Die Struktur des Kommentars orientiert sich an der Artikelstruktur der KI-VO. Um auch Lesenden aus der polizeilichen und sicherheitsbehördlichen Praxis einen attraktiven Zugang zu bieten, wird der Kommentar durch ein "Miniglossar" ergänzt. Dieses Glossar fasst die KI-rechtlichen Kernaspekte eines Sicherheitsthemas, wie z. B. "Videoüberwachung", unter Verweis auf die relevanten Vorschriften und Kommentierungsstellen in prägnanten Sätzen zusammen. 
Mit diesem Fachkommentar erhalten Polizei-, Geheimdienst- und andere Sicherheitsbehörden wie Schutz- und Kriminalpolizeien der Länder, Bundespolizei, Bundeskriminalamt, Verfassungsschutzbehörden, Bundes-nachrichtendienst und das Bundesamt für Sicherheit in der Informationstechnik eine fundierte und praxisnahe Orientierungshilfe im Bereich der KI-Verordnung für die Sicherheitsbehörden.
Das Buch ist ein unverzichtbares Werkzeug für alle, die sich mit Künstlicher Intelligenz im Sicherheitsbereich beschäftigen.

Eike Richter ist Professor für Öffentliches Recht an der Hochschule der Akademie der Polizei Hamburg mit den Schwerpunkten Recht der Digitalisierung und IT-Sicherheitsrecht.</p>


Kommentar für Polizei und Sicherheitsbehörden

KI-Verordnung und öffentliche Sicherheit

AI Unleashed Transforming Organizations in the Intelligent Era

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