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Ivanov A: The AI Wealth Formula

The AI Wealth Formula

The Future Rich

Artificial Intelligence and the Rule of Law

This book provides a stinging critique of the regulatory underpinnings of the EU AI Act, delivering a trenchant criticism and asserting that there is no shortage of reasons for enduring skepticism. This book uncovers the multifaceted architecture underlying both the EU AI Act and the General-Purpose AI Code of Practice, revealing its technological, social, philosophical, and legal shortcomings. Chapters focusing on doctrinal, social, technological, philosophical, historical, and economic stances are carefully paired with fruitful discussions about bespoke standards for addressing the ever-evolving issue of algorithmic decision-making, such as enhanced safety, protection of fundamental rights, sustainability of the rule of law, and redress of algorithmic wrongs.

Primer and Roadmap

Research Handbook of Regulatory Compliance under the EU AI Act and the Code of Practice for General-Purpose AI Models

Banking, Money and International Finance

Human-Centred Intelligent Finance

AI, Fintech, and the Future of Global Financial Systems

Agritech

Digitalisation and Artificial Intelligence in Agritech and Food Supply Chains, Volume I

Nicole will show you how to have a kid financially, how to raise that kid, and how to manage your newfound promotion to Mom status without going broke or insane.

The Guide to Generational Wealth

Rich Mom

Turn AI investment into scalable business impact by enabling your workforce to build the solutions they actually need. From AI Users to Solution Builders is a strategic guide for senior AI, technology, and transformation leaders who want to move beyond underperforming, centralized AI initiatives, and unlock real enterprise value. As organizations struggle to translate AI into measurable results, this book shows how shifting from top-down deployment to workforce-led solution building creates faster adoption, stronger ROI, and sustained innovation. Written by experienced AI leader Wei Manfredi, this book combines strategic insight with practical execution. It draws clear parallels between failed digital transformation efforts and current AI adoption challenges, while demonstrating how natural language interfaces are reshaping access to AI. By enabling non-technical professionals to design their own tools, organizations can embed AI directly into workflows, decision-making, and daily operations. You'll learn how to: - Shift from centralized AI models to workforce-driven innovation - Enable employees to build AI solutions for real workflows - Design scalable infrastructure for AI solution development - Apply change management to overcome resistance and drive adoption &gt;Featuring real-world examples from organizations including Lululemon, Google, Oracle, and JPMorgan Chase, this book provides a proven framework for embedding AI into everyday collaboration, accelerating innovation, and future-proofing your organization's competitive advantage. Themes include: AI strategy, AI adoption, workforce transformation, AI governance, enterprise AI, change management

Scaling AI Across Your Organization

From AI Users to Solution Builders

Agentic AI läutet eine neue Ära ein: KI-Systeme, die autonom planen, entscheiden und handeln, verändern die Unternehmenskommunikation grundlegend. Dieses Buch zeigt, wie KI-Agenten dort strategisch eingeführt und verantwortungsvoll genutzt werden können.Von der Klassifizierung von Agenten über konkrete Use Cases aus der Praxis bis hin zu Bewertung, Governance-Anforderungen und Teamstrukturen – führende Stimmen aus Wissenschaft und Praxis liefern fundierte Orientierung für eines der zentralen Transformationsthemen der Branche. Im Zentrum steht das „Betriebssystem 2030“: ein Zielbild für Kommunikationsteams, die Entscheidungen, Prozesse und Rollen neu ordnen müssen.Der Inhalt<ul><li>Agentic AI – Definition, Klassifizierung und Abgrenzung</li><li>Agentic AI als neue Zielgruppe</li><li>Rollen im Human-AI Newsroom: Wie Teams sich neu aufstellen</li><li>Das Target Operating Model als Gestaltungsrahmen für die KI-transformierte Kommunikationsfunktion</li><li>Auswahlkriterien für den Einsatz von Agentic AI</li><li>Messung des Erfolgs agentischer KI in der Unternehmenskommunikation</li><li>Recht und Compliance bei Agentic AI in der Unternehmenskommunikation</li><li>Use Cases in der Praxis: Krisenkommunikation, Journalismus, Investor Relations</li><li>Stimmen aus der Praxis</li><li>Betriebssystem 2030. Kommunikation als orchestriertes System</li></ul>Die HerausgeberMartin Regnet ist Senior-Experte für digitale Unternehmens- und Finanzkommunikation und leitete die Kommunikation und Investor Relations führender Industrieunternehmen. Er begleitet Kommunikationsteams bei der KI-Transformation und leitet die Fokusgruppe Agentic AI der Arbeitsgemeinschaft CommTech.Christof Schmid ist Leiter der CommTech Academy und Gründer der KI-Beratung Hi Story Consulting. Als Redner, Berater und Trainer für AI Strategy &amp; Enablement hilft er mit Vorträgen, Workshops und Implementierungsprojekten Unternehmen und Führungskräften dabei, die KI-Transformation erfolgreich zu meistern. Der ehemalige Kommunikationsleiter von Twitter Deutschland ist zudem Co-Host von AI Insights Briefing dem Podcast rund um KI und Kommunikation.

Agentic AI läutet eine neue Ära ein: KI-Systeme, die autonom planen, entscheiden und handeln, verändern die Unternehmenskommunikation grundlegend. Dieses Buch zeigt, wie KI-Agenten dort strategisch eingeführt und verantwortungsvoll genutzt werden können. Von der Klassifizierung von Agenten über konkrete Use Cases aus der Praxis bis hin zu Bewertung, Governance-Anforderungen und Teamstrukturen – führende Stimmen aus Wissenschaft und Praxis liefern fundierte Orientierung für eines der zentralen Transformationsthemen der Branche. Im Zentrum steht das „Betriebssystem 2030“: ein Zielbild für Kommunikationsteams, die Entscheidungen, Prozesse und Rollen neu ordnen müssen.

KI-Agenten als Betriebssystem für Kommunikationsteams der Zukunft

Agentic AI in der Unternehmenskommunikation

Hart Studies in Comparative Public Law

Theory, Practice and Problems

Automation in Governance

Exploring the Future of Digital Defense

Cyber Security Unleashed

AI and quantum computing are two disruptive forces about to push financial services and the banking industry over the edge, demanding an unprecedented transformation. They are not fleeting trends but fundamental disruptors that will reshape the core of banking and finance. Authored by a senior Swiss banking technology executive, this practical guide helps board members and senior leaders turn disruption into a disciplined strategic agenda. It offers a rare insider perspective and a roadmap for navigating these seismic shifts. Bridging the gap between technological innovation and practical application, this book equips leaders with the tools to address the challenges and opportunities posed by AI and quantum computing. It features a thorough review of the latest business opportunities and threats associated with these technologies, alongside foresight-based strategic decision frameworks to guide prioritisation. Real-world case studies and an online companion with 125 AI use cases tailored for banks provide actionable insights. It also introduces an original AI Adoption Maturity Model and a Hybrid Enterprise Reference Architecture to ensure safe integration of internal systems with external frontier models. Finally, it provides two detailed multi-year roadmaps, offering a clear path to harness AI's potential and to prepare for a post-quantum future through crypto agility.Rather than offering abstract predictions or generic solutions, this book presents financial-services leaders with the frameworks, choices, and implementation path they need to act with confidence at a moment when waiting is no longer an option.

Evolutions at the Bleeding Edge

How AI and Quantum Computing Will Make or Break the Bank

This book provides a state-of-the art picture of the transformation of the global legal market. The traditional business model of law firms has been upended by new forms of organisation, often (but not exclusively) brought about by technological innovation and the use of technology for the execution of legal activities, which implies the so-called 'servitisation' of the legal market. Such trends raise a broad range of questions of both practical and academic nature, which the book tackles extensively, relying on the competence of a remarkable group of experts, coming from different professional backgrounds and knowledgeable of many different jurisdictions, from Europe to the USA, from Asia to Australia. In particular, the book has three main focuses: 1) a law and economics analysis of today's legal market, combined with a description of how regulatory changes have had an impact on competition in the legal services business, and on the evolution of this industry; 2) a thorough investigation of the impact of technological disruptions on the legal services industry, considering how legal tech companies and artificial intelligence solutions are reshaping the activities of legal professionals and the legal market more broadly; 3) a survey of the "new lawyers" and other new legal professionals, along with a reflection on the reforms needed to align their education with market needs.The book caters to all those interested, professionally or academically, in keeping track of the evolution of the legal services market. Practising lawyers who want to be "future-proof", law students, new specialised legal professionals active in the business and financial sectors, scholars and other researchers (both lawyers and economists) conducting research in the field, as well as anyone engaged in providing legal education, will find in this book extremely valuable insights on current trends and future developments in the legal market.

How Innovation, Legal Tech and AI Have Been Reshaping the Legal Market

Future-Proof Legal Services

Artificial intelligence has crossed the liability Rubicon. It is no longer a backend IT experiment governed by soft ethics, voluntary frameworks, and vague policy statements; it is a material financial asset driving enterprise revenue and unprecedented legal exposure. As we transition into Industry 5.0, algorithms are making autonomous, consequential decisions at machine speed. Yet, corporate boards and risk committees are attempting to govern these gigahertz systems using static compliance checklists designed for a slower, simpler era. The result is a looming crisis of algorithmic discrimination, regulatory friction, and catastrophic reputational decay. When an opaque, black-box model hallucinates financial advice or leaks proprietary trade secrets, the ensuing failure cascade can destroy billions in market capitalization overnight.AI Governance and Risk Management provides the definitive, boardroom-ready blueprint for surviving the fragmented global regulatory dragnet. This book dismantles the illusion of traditional "Human-in-the-Loop" oversight, proving that true algorithmic safety requires hard, architectural constraints. Drawing on decades of technology operations and academic leadership, the text translates classical financial auditing principles into executable machine logic. The author brings unparalleled practical experience-from supporting six Silicon Valley startups in client-facing roles to develop computer vision use cases, to leading over 30 continuous improvement projects for Cisco Systems. Having authored foundational texts on Segregation of Duties (SOD) and Hierarchical SOD two decades ago, and backed by 15 years of teaching financial risk management, this expertise culminates in the AI Integrity Framework (AIIF). This Hamiltonian approach empowers organizations to embed continuous improvement cycles and strict SOD directly into their deployment pipelines.Readers will discover how to engineer automated "Build Breaks," architect deterministic kill switches, and secure the unstructured data supply chain against copyright contamination and intellectual property theft. By shifting from reactive public relations to proactive "Governance as Code," Chief Risk Officers, legal counsel, and audit committees can mathematically prove fiduciary control to regulators across overlapping jurisdictions, from California to the European Union.Authored by a veteran industry practitioner, creator of five previous Wiley &amp; Sons texts, and current developer of the Industry 5.0 and AI curriculum at Santa Clara University, this release is not a theoretical ethics manual. It is an uncompromising operational survival guide. It provides the exact structural tools necessary to transform artificial intelligence from an unquantified off-balance-sheet liability into a fully auditable, legally defensible, and highly profitable enterprise asset.

The AI Integrity Framework (AIIF) for Enterprise Control and Regulatory Compliance

Auditable AI Governance and Risk Management

The AI Wealth Formula

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