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Schriften zum Medien- und Informationsrecht

Marta Duque Lizarralde

Business-to-Business Data Sharing for Artificial Intelligence Development


<p>
</p><p><b>Turn enterprise AI into a source of strategic insight, not just productivity gains.</b></p><p><b><i>The AI Gap</i></b> by leading AI expert and keynote speaker <b>Richard Foster-Fletcher</b> shows business and technology leaders how to unlock greater value from enterprise AI by changing the structures, processes and culture surrounding it. </p><p>Organizations invest in AI expecting new intelligence and transformative insights. Yet AI is often introduced through procurement, security, legal and compliance systems designed for standard software, restricting its potential before it can deliver on that promise. This book explains why this gap persists and what organizations must change to close it. </p><p>You'll learn how to: </p><p>- Identify organizational barriers limiting the value of AI <br>- Move beyond productivity-focused AI implementation <br>- Create conditions where AI can generate deeper insights <br>- Enable employees to explore, experiment and challenge established thinking <br>&gt;<b><i>The AI Gap</i></b> equips leaders to rethink AI implementation, create space for experimentation and turn artificial intelligence into a powerful driver of organizational insight and long-term business value. </p><p><b><i>Themes include: </i></b><i>enterprise AI, AI implementation, AI strategy, business transformation, organizational culture, AI innovation</i></p><p></p>


How Business Decisions Expand What AI Can Do

The AI Gap

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


<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

Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

Risk, Governance and Society

From Data Analytics to Global Risk Governance

Evolution of Anomaly Detection


<p>
</p><p>Algorithmic Management: Artificial Intelligence and the Transformation of Organizations is the first comprehensive textbook designed to prepare management students to engage critically and responsibly with artificial intelligence in organizations. Bringing together classical management theory, contemporary AI applications, and systematic power analysis, the book equips future managers to both harness AI's potential and confront its risks.</p><p>Structured in three parts, the book begins with foundational frameworks-socio-technical systems theory, technology and society perspectives, and core management theories reinterpreted for the AI era. It then examines applications across all major management functions-Marketing, HR, Finance, Operations, Supply Chain, and Strategy-using over 30 real-world case studies drawn from different industries, parts of the world, and types of organizations from multinational corporations to nonprofits and social ventures. The final section addresses organizational design, leadership, governance, and the future of algorithmic organizations. Throughout, pedagogical features-learning objectives, vignettes, discussion questions, toolkits, and ethical dilemmas-make the book classroom-ready and adaptable across MBA, undergraduate, and executive education settings. The text advances an approach of pragmatic criticality: AI is neither celebrated uncritically nor rejected outright but treated as a socio-technical phenomenon requiring managerial judgment, ethical reflection, and contextual awareness.</p><p>By bridging management theory, functional practice, and critical perspectives, this book fills a critical market gap and is positioned to become the definitive teaching resource on AI and management for business education worldwide.</p><p></p>



<p>
</p><p><b>The next choice we make </b><b>is the <i>last chance</i> we have.</b><br><br>Ten thousand years ago, wild cats wandered into a human grain store. Over generations, gorged with a plentiful supply of prey, they traded their raw instincts for a life of dependency as our household pets. Today, domestic cats are more comfortable than ever but they can no longer hunt effectively. Their brains are 16% smaller than their distant ancestors. They are domesticated.<br><br>AI is turning the modern world into a cognitive grain store. And we are the cats.<br><br>In this groundbreaking and vital book, leading AI researcher and campaigner James F. Ryan charts our relationship with transformative technologies - from writing to AI - and explains why this time it's different. Large language models like ChatGPT are not just tools, but are remaking our brains and eroding our ability to think.<br><br>From the workplace and our relationships to our schools and universities, we face an urgent battle to safeguard human thought. <i>The Domestication</i> sets out the evidence, the imposing challenge we face, and how we respond.</p><p></p>


A Story of AI and the Human Mind

The Domestication


<p>
</p><p><b>Protect your startup's intellectual property now</b> </p><p>Many founders assume intellectual property is something to handle later - after traction, after funding, after revenue. By then, you may have already lost rights you didn't know you had. <i>Startup IP Strategy For Dummies</i> helps you treat IP as a practical business strategy from day one, so you can build, pitch, and scale with confidence. </p><p>Get a handle on patents, trade secrets, trademarks, and ownership structures - explained in exactly the detail you need. Discover how everyday decisions such as hiring contractors, using open-source tools, pitching investors, and launching products can quietly determine who owns what. You'll also learn how IP choices directly affect fundraising, go-to-market strategy, and long-term viability. </p><p>Inside: </p><ul> <li>Learn how common startup decisions - from contractor agreements to public pitches - can transfer your IP rights</li> <li>Discover freedom-to-operate concepts that investors scrutinize during diligence and why they matter to your business</li> <li>Explore how open-source software and AI tools introduce hidden intellectual property risks into your products</li> <li>Build an IP strategy that supports your fundraising, product launches, and scaling across global markets</li> <li>Find the most common IP mistakes founders make and the questions to ask before you pitch</li> </ul> <p>Whether you're a first-time founder, an angel investor evaluating startups, or an entrepreneur preparing to scale, this <i>For Dummies</i> guide gives you the IP knowledge you need to protect what you're building.</p>


Startup IP Strategy For Dummies

Hart Studies in Comparative Public Law

Theory, Practice and Problems

Automation in Governance

Artificial Intelligence and the Rule of Law

<p>This book offers a timely examination of AI regulation in the era of Industry 5.0, where innovation must be balanced with human well-being, sustainability, and responsible governance. It explores how artificial intelligence is transforming healthcare, environmental stewardship, corporate governance, digital commerce, and emerging technologies while creating new regulatory, ethical, and societal challenges. As AI increasingly influences critical decisions across healthcare systems, innovation ecosystems, educational institutions, and business environments, policymakers and practitioners face growing questions regarding accountability, transparency, safety, trust, privacy, and human rights. Addressing these concerns, this edited volume brings together leading scholars and experts to examine the evolving legal, ethical, and governance frameworks needed to support responsible AI adoption.</p><p>The chapters cover a diverse range of contemporary topics, including AI-enabled drug discovery, healthcare decision-making, medical liability, patient rights, sustainability governance, climate and environmental regulation, AI in education, intellectual property and innovation, corporate governance, e-commerce regulation, cybersecurity, regulatory sandboxes, and explainable AI in high-risk sectors. Together, these contributions provide interdisciplinary perspectives on how AI can be developed and governed in ways that foster innovation while protecting societal interests.</p><p>A central theme of the book is the Industry 5.0 vision of human-centric technological progress. The contributors highlight how effective regulation can promote trustworthy AI systems that support sustainable development, strengthen innovation, encourage responsible technological deployment, and create long-term value for society. By bridging law, policy, governance, healthcare, sustainability and technology studies, this volume offers valuable insights into the opportunities and challenges of AI-driven transformation. It provides a forward-looking resource for understanding how regulatory frameworks can enable innovation while ensuring that technological advancement remains ethical, inclusive, and sustainable.</p><p>This book is intended for researchers, academics, policymakers, regulators, healthcare professionals, technology practitioners, industry leaders, graduate students, and readers interested in artificial intelligence, Industry 5.0, sustainability, healthcare innovation and emerging technologies.</p>

Healthcare, Sustainability, Innovation and Emerging Technologies

AI Regulation in Industry 5.0

The Fight for the Future of Work

We Are Not Machines

Business-to-Business Data Sharing for Artificial Intelligence Development

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