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Tilman W. Birkenfeld

Die Thiel-Strategie

Wie man die Zukunft investiert

Deviants

Sustainable Finance

As the landscape of wealth management undergoes significant transformation, driven by advancements in technology, an increasing emphasis on sustainability, and a generational shift within the industry, this comprehensive volume explores cutting-edge sustainable financial management strategies. It highlights the integration of Artificial Intelligence (AI), Sustainable Development Goals (SDGs), and Environmental, Social, and Governance (ESG) criteria.

The comparison between passive and active asset management is examined to help readers understand the resilience and suitability of each strategy. The book also looks at ESG (Environmental, Social, and Governance) strategies and SDG (Sustainable Development Goals) aligned investments, providing illustrative case studies for both. It discusses active ownership and stakeholder strategies, highlighting the unique contributions of female shareholder activism.

The book scrutinizes the regulatory environment, focusing on how global financial hubs define and promote sustainable investments. It also analyzes impact investing with a focus on measuring impacts and returns using practical case studies. The rise of green fintech, the concept of assetization, and the implementation of AI in asset management are explored. Key findings emphasize the resilience and sustainability in portfolio strategies and new KPIs. The book provides a guidelines for sustainable finance practices that align with global sustainability goals. It appeals to finance professionals wanting to learn how to build a sustainable and resilient investment portfolio.

As the landscape of wealth management undergoes significant transformation, driven by advancements in technology, an increasing emphasis on sustainability, and a generational shift within the industry, this comprehensive volume explores cutting-edge sustainable financial management strategies. It highlights the integration of Artificial Intelligence (AI), Sustainable Development Goals (SDGs), and Environmental, Social, and Governance (ESG) criteria.The comparison between passive and active asset management is examined to help readers understand the resilience and suitability of each strategy. The book also looks at ESG (Environmental, Social, and Governance) strategies and SDG (Sustainable Development Goals) aligned investments, providing illustrative case studies for both. It discusses active ownership and stakeholder strategies, highlighting the unique contributions of female shareholder activism.The book scrutinizes the regulatory environment, focusing on how global financial hubs define and promote sustainable investments. It also analyzes impact investing with a focus on measuring impacts and returns using practical case studies. The rise of green fintech, the concept of assetization, and the implementation of AI in asset management are explored. Key findings emphasize the resilience and sustainability in portfolio strategies and new KPIs. The book provides a guidelines for sustainable finance practices that align with global sustainability goals. It appeals to finance professionals wanting to learn how to build a sustainable and resilient investment portfolio.

Creating Resilient and Sustainable Portfolios

Sustainable Asset Management

A critical introduction to the psychiatric technologies of the future Artificial intelligence (AI) promises to transform nearly every area of modern life, and psychiatry is no exception. The field faces the mounting crisises in diagnostic inaccuracy, treatment stagnation, and persistent failures in suicide prevention, while traditional approaches struggle to keep pace with patient needs. AI and neuroscience offer a new path forward, pointing toward a future where mental health care is grounded in objective data, individualized predictions, and biologically informed treatments. Decoding Despair provides a cutting-edge look at these emerging scientific possibilities and the long-standing norms they may replace. Beginning with an examination of psychiatry's current challenges, it moves toward a present where AI-powered tools are beginning to reshape diagnostics, treatment selection, and drug development. The book offers readers a deeper understanding of mental health as both a scientific field and a lived human experience, while igniting an essential conversation about the transformative potential of precision psychiatry and technology. Decoding Despair readers will also find: <ul> <li>Exploration of the patient's journey from first symptoms to being prescribed medication</li> <li>Deep dive into the healthcare system and an understanding of the connections between stakeholders</li> <li>Clear explanations of how AI models work and how they can be practically applied to solving issues in mental health</li> <li>Deep introduction into the world of data and the different models of data acquisition necessary for building AI solutions</li> <li>Analysis of the potential innovations that could come first and the conditions necessary for them to occur</li> </ul> &nbsp; Decoding Despair is ideal for professionals and innovators building the future of psychiatry-as well as anyone seeking to understand their own mental health and the technological breakthroughs poised to reshape this critical field of care.

How AI is Reshaping Psychiatry

Decoding Despair

This edited book explores the intersection of inclusivity, ethics, and innovation in the financial sector. It examines the impact of global and regional regulations, highlighting both compliance challenges and opportunities for innovation. The book discusses strategies for making financial services accessible to underrepresented groups, the role of emerging technologies like AI and blockchain in shaping regulatory practices, and the importance of ethical standards and strong governance. It also discusses the progress of global standardization efforts and offers guidelines for developing inclusive financial policies. Real-world case studies and practical tools are provided to help apply these concepts in the real world.

Navigating Regulatory Frameworks and Technological Advancements

Regulation and Inclusivity in Finance and Accounting

KI-Tools für ein erfolgreiches Studium

Künstliche Intelligenz und wissenschaftliches Arbeiten

This open access book assesses whether European data regulation can be amended in light of contemporary technological developments. In an era when data powers our daily lives, economies and societies, data regulation is essential. However, European data regulation is still premised on concepts and foundations that were developed more than 50 years ago. The book offers an in-depth exploration of the European data regulatory landscape, from its historical roots to the challenges posed by new technological advancements. Through a detailed legal and technical analysis, it explores key data categories - such as anonymised, pseudonymised, aggregated, sensitive data, and metadata - highlighting their fluid and changing nature and the growing possibilities for transitioning between them. By identifying regulatory tensions and challenges arising from various technologies, such as AI, Big Data, and quantum computing, the book offers policymakers, legal scholars, computer scientists and data protection experts different perspectives on how to reshape future privacy and data protection legislation in a rapidly advancing technological world. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com.

The Past, Present, and Future of European Data Regulation

A sharp history of journalism's digital unraveling in the age of algorithms. In the past three decades, the battle between big tech and big journalism has reshaped how we consume the news. Jason Whittaker delves into how tech giants outmaneuvered traditional media companies, siphoning off advertising revenue and audience attention. As journalism struggled to adapt, social media platforms evolved from utopian public spaces into breeding grounds for misinformation and fake news, eroding public trust. The influence of billionaires further complicated the digital ecosystem, swaying public opinion and exercising direct political power, of which previous media moguls could only dream. More recently, AI has begun to revolutionize content creation, distribution, and consumption. Overall, this thirty-year period has witnessed a tangled mix of progress, contention, and disinformation. Incorporating stories about The Washington Post, The New York Times, The Atlantic, The Los Angeles Times, Bloomberg, and many other media outlets from around the world, and discussing key figures and companies in big tech and AI like Facebook/Meta, Cambridge Analytica, Google, Microsoft, Twitter/X and Elon Musk, Edward Snowden, Jakob Uszkoreit, OpenAI, ChatGPT, DeepSeek, and more, Whittaker provides an incisive examination of the frequently combative relations of these two industries and the uncertain future of the news in the digital age.

Big Tech v. Big Journalism

You Want What We've Got

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

Law, Theory and Practice

Insurability of Emerging Risks

Schriften zum Medien- und Informationsrecht

Es ist das erklärte Ziel der EU-Kommission, Europa zu einem Vorreiter für den Einsatz und die Entwicklung von KI-Systemen zu machen. Ein zentraler Baustein für die Erreichung dieses Ziels ist es, das Vertrauen in KI-Systeme zu stärken. Hierfür ist eine datenschutzkonforme Entwicklung der KI-Systeme unerlässlich. Vor diesem Hintergrund wird sich die Frage gestellt, ob und inwiefern die Entwicklung von KI-Systemen mit den Grundsätzen der Datenverarbeitung aus Art. 5 DSGVO vereinbar ist. Die Arbeit untersucht, inwiefern die bestehenden Spannungsverhältnisse zwischen Art. 5 DSGVO und der KI-Entwicklung im Wege der Auslegung der DSGVO interessengerecht aufgelöst werden können.

Zur Bedeutung von Art. 5 DSGVO für die Entwicklung von KI-Systemen

Datenschutzkonforme KI

As fears of agentic obsolescence abound, organizations are struggling to implement AI in ways that enhance rather than replace human work. This unique book introduces a full-stack approach that balances technological capability with human values, ethics and practical applications. AI at Work provides a framework that moves beyond scattered AI experiments toward a coherent strategy that will run throughout your entire company. Rather than focusing on technical capabilities or dystopian warnings, it utilizes a full-stack approach to harness AI's benefits while preserving what matters most - a firm's people, its values and its unique organizational identity. The global AI market is projected to reach $1.8 trillion by 2030, with organizations across sectors racing to implement AI solutions. However, whilst 83% of executives report that AI is a top priority for their organization, only 23% have a comprehensive implementation strategy. This book fills a critical gap between theoretical AI books and technical implementation guides by offering: · A practical framework applicable across industries; · Equal emphasis on technological capability, ethical considerations and real-world applications; · A human-centred approach that addresses concerns about AI replacing workers; and · Case studies and examples from diverse sectors.

How to build a full stack organization

AI at Work

Future of Business and Finance

The rise of the Internet, social media, mobile technology, IoT, artificial intelligence (AI), and Web3 has fundamentally transformed how brands engage with consumers—enabling smarter marketing capabilities, personalized user interactions, and exponential growth in revenue, influence, and data value. This book introduces the concept of Brand Digital Intelligence, a two-step framework that helps brands thrive in the digital age through digital transformation and intelligent marketing. Structured around a digital transformation roadmap, the book explores how organizations can build robust digital infrastructure, foster active user participation, and turn consumers into long-term value contributors. 
Key topics include marketing innovation, platform business models, consumer journey design, online communities, smart stores, mobile applications, AI-powered marketing, and decentralized brand strategies enabled by Web3. The book calls for a paradigm shift from traditional campaign-based marketing to intelligent, data-driven ecosystems, where private domains, users, and data become core strategic assets—powered by algorithmic decision-making and compounding flywheel effects that drive sustained growth and engagement. Extending this evolution, the book illustrates how AI-driven brand ecosystems in the Web2 era naturally progress toward autonomous, community-driven organizations in the Web3 world, enabled by tokenized incentives, digital ownership, and co-created value. 
Combining strategic frameworks, real-world case studies, and actionable insights, this book is an essential guide for marketing professionals, technology leaders, entrepreneurs, and investors seeking to master the next frontier of AI and Web3-powered brand transformation.

The rise of the Internet, social media, mobile technology, IoT, artificial intelligence (AI), and Web3 has fundamentally transformed how brands engage with consumers—enabling smarter marketing capabilities, personalized user interactions, and exponential growth in revenue, influence, and data value. This book introduces the concept of Brand Digital Intelligence, a two-step framework that helps brands thrive in the digital age through digital transformation and intelligent marketing. Structured around a digital transformation roadmap, the book explores how organizations can build robust digital infrastructure, foster active user participation, and turn consumers into long-term value contributors. Key topics include marketing innovation, platform business models, consumer journey design, online communities, smart stores, mobile applications, AI-powered marketing, and decentralized brand strategies enabled by Web3. The book calls for a paradigm shift from traditional campaign-based marketing to intelligent, data-driven ecosystems, where private domains, users, and data become core strategic assets—powered by algorithmic decision-making and compounding flywheel effects that drive sustained growth and engagement. Extending this evolution, the book illustrates how AI-driven brand ecosystems in the Web2 era naturally progress toward autonomous, community-driven organizations in the Web3 world, enabled by tokenized incentives, digital ownership, and co-created value. Combining strategic frameworks, real-world case studies, and actionable insights, this book is an essential guide for marketing professionals, technology leaders, entrepreneurs, and investors seeking to master the next frontier of AI and Web3-powered brand transformation.

Navigating the Transformation in the AI and Web3 Era

Brand Intelligence

Die Thiel-Strategie

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