<div class="raw-html-embed"><a href="https://staempflirecht.ch/studium">JUS-Studium? Das Fachwissen von Expertinnen und Experten des Schweizer Rechts – griffbereit!</a></div>

Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Aboverträge Kündigen

Résiliation d’abonnement

Vertrag widerrufen

Résiliation de contrat 

Datenschutz

Protection des données

Impressum

Mentions légales

Barrierefreiheit

Accessibilité

Zahlung und Lieferung

Paiement et livraison

Libra

Was ist Libra?

C'est quoi Libra ?

Kostenlos testen

Tester gratuitement

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Aktienrecht

Droit des sociétés anonymes

Publikationen

Publications

Literatur

Digitales Angebot

Bücher

Livres

Buchreihen

Collections

Onlinemodule LEXIA

Modules en ligne LEXIA

recht.ch

Studienliteratur

Littérature pour les études

Swisslex

Dienstleistungen

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Open Access Policy

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Unser Magazin

Notre magazine

Vision und Mission

Vision et mission

Partner

Partenaires

Unternehmenskultur

Culture d'entreprise

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Sortiment & Suche

Catalogue & Recherche

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Fachkatalog Recht

Catalogue de droit

London K: Defensible Identity
Architecture

Defensible Identity Architecture

Master Fintech Innovation, AI, and the Future of Global Finance Mastering the Future of Finance: How Data, Trust, and Tech Are Reshaping the Global Economy provides a structured learning journey through the forces redefining financial services. Written by Michelle Beyo, CEO of Finavator and a fintech leader with over 20 years of experience, this book maps the convergence of AI, open data, and digital identity into a strategic foundation for the digital economy. This book cuts through the noise of Fintech, BaaS, embedded finance, open data, digital identity, cybersecurity, AI, blockchain, and the rise of digital currencies to give you the knowledge to understand, adapt, and lead. The book builds understanding step by step across ten comprehensive chapters, giving every reader the context to navigate the future of finance. Beyo introduces the 9 Influential Elements as core principles of transformation and examines how data rights, trust frameworks, and emerging technologies create both opportunity and responsibility for organizations. Readers will also find: <ul> <li>Financial Innovation.&nbsp;Practical analysis of the rise of Fintech, Banking as a Service (BaaS), and the shift from Embedded Finance to Agentic Payments.</li> <li>Trust as the New Currency.&nbsp;Exploration of Digital Identity, Data Rights, and Cybersecurity strategies underpinning consumer-centric financial system design.</li> <li>Groundbreaking Technology.&nbsp;Coverage of AI applications, Blockchain, and Digital Currencies, including Stablecoins and Wholesale CBDCs as transformative innovations.</li> <li>Global Perspectives.&nbsp;Insights drawn from the author's direct experience and interviews with a diverse roster of industry experts and visionary thinkers who are featured speakers at major global events.</li> </ul> Designed for leaders at financial institutions, fintech founders, and professionals seeking to understand where finance is heading, this book connects technology trends with trust principles to equip readers with the strategic perspective needed to lead in a rapidly evolving financial landscape.

How Data, Trust, and Tech Are Reshaping the Global Economy

Mastering the Future of Finance

Building Trusted AI from the Inside Out - A Field Guide to AI That Earns Its Keep

Bears & Mosquitoes

Routledge Studies in Accounting

Implications for Practice, Education, and Research

Generative AI and Agentic Systems in Accounting

Build a resilient, high-performing organization by integrating agentic AI into strategy, operations, and decision-making. Building an Agentic Organization is a strategic guide for senior technology, AI and business leaders responsible for delivering value from agentic AI while managing its risks. As organizations move toward human and AI collaboration at scale, leaders must balance innovation with governance, adoption, and long-term economic impact. Written by experienced AI executive Geoffrey Schaefer, this book provides a comprehensive framework for designing an agentic organization by examining strategy, governance, and economics. It explores how to define the purpose of agentic AI, align it with business objectives, and create the structures needed to support safe, scalable adoption. Addressing both opportunity and risk, it equips leaders to navigate workforce concerns, reputational exposure, and the evolving role of AI agents in enterprise environments. You'll learn how to: - Define a clear strategy for integrating agentic AI - Establish governance frameworks to manage risk and accountability - Drive workforce adoption and address resistance to AI collaboration - Assess economic value and impact of agentic AI systems - Manage reputational and operational risks from AI agent behavior Featuring real-world examples from Leidos, JPMorgan Chase, SY Partners, and OMA, this book provides a practical roadmap for embedding agentic AI into the fabric of your organization while protecting value, trust, and long-term performance. Themes include: agentic AI, AI strategy, AI governance, AI transformation, enterprise AI, risk management

The Strategy, Governance, and Economics of Agentic AI

Building an Agentic Organization

The Promise and Peril of Navigating Our Agentic AI Future

When Machines Act

The healthcare industry is undergoing a transformative shift as artificial intelligence moves from isolated predictive models to autonomous, goal-driven agents capable of reasoning, planning, and adapting in real time.Agentic AI for Healthcare: Building Scalable Models for Production is the first comprehensive technical guide that focuses specifically on designing and deploying agentic AI systems within complex clinical and operational healthcare environments. Unlike traditional AI systems that passively infer outcomes, agentic AI involves systems that actively make decisions, coordinate with other agents, and take initiative toward long-term goals, making them ideal for dynamic and high-stakes healthcare settings. What sets this book apart is its deep technical focus tailored for computer scientists, architects, and AI engineers who are building real-world healthcare solutions. Each chapter bridges theoretical foundations with production-ready implementations using cloud-native technologies, distributed architectures, knowledge representation models, and secure deployment pipelines. With detailed case studies in oncology, vaccine management, and hospital operations, the book demonstrates how agentic AI can improve care delivery, reduce cognitive burden on clinicians, and automate routine workflows - all while meeting regulatory standards.As healthcare increasingly adopts AI-first strategies, this book fills a critical need by offering a structured, engineering-centered approach to building scalable, intelligent, and trustworthy healthcare systems.

Building Scalable Models for Production

Agentic AI for Healthcare

European businesses are dangerously underprepared for the largest paradigm shift since the industrial revolution. AI is no longer a technology question. It is a leadership question.The Agentic Organisation gives CEOs, boards, and management teams a practical framework for navigating this transformation. Built around five core elements: products, people, process, technology, and data, the book shows how organisations can integrate human and AI agents to operate at a scale previously unimaginable.Drawing on 25 years of digital transformation experience grounded in the European business context, the book addresses what other AI guides ignore: regulation as competitive advantage, the role of works councils, GDPR as a trust asset, and the pragmatic approach that distinguishes European leadership from Silicon Valley hype.This is not a book about AI tools. It is a guide to becoming an organisation that is fundamentally built for the agentic era.For leaders who want to act, not just understand.

A complete AI transformation framework - European Edition

The Agentic Organisation

AI Identities introduces a groundbreaking concept: AI Agents should be recognized and governed as a new class of identity within enterprise environments. As artificial intelligence evolves from predictive models to autonomous agents with memory, goals, and tool access, enterprises face a new spectrum of identity risk that transcends traditional IAM frameworks. This book lays out the philosophical, architectural, and operational foundations necessary to govern these intelligent machine identities across their lifecycles.

Structured across six parts, the book begins by grounding readers in identity security and ownership. It then introduces the concept of AI agents as complex, evolving identities that demand governance, not just access control. It offers practical guidance on lifecycle management, trust, discovery, and incident response for AI agents, and concludes with future-facing perspectives on human-AI collaboration, critical infrastructure, and compliance.

This is not a coding manual or abstract ethics book—it’s a field guide for security professionals, architects, and digital leaders who must design, secure, and take responsibility for the AI identities acting on behalf of their organizations. The writing is crisp, deeply informed, and structured to support real-world decision-making in an era where the lines between automation and agency are quickly disappearing.

 

WHAT YOU WILL LEARN:

Understand the emerging category of AI Identities and how they differ from traditional machine accounts.

Develop strategies for ownership, governance, and lifecycle control of AI agents in enterprise environments.

Build a framework for discovery, trust scoring, explainability, and behavioral auditing of autonomous agents.

Learn how to respond to security incidents involving intelligent agents and prevent cascading failures.

Gain insights into the future of human-AI collaboration and the governance challenges posed by agentic AI.




WHO THIS BOOK IS FOR

This book is for enterprise security architects, identity professionals, risk officers, and technology executives responsible for the governance and security of digital systems. It is written to inform decision-makers and practitioners who need to understand how to integrate AI agents into their existing identity, compliance, and security programs.

AI Identities
 introduces a groundbreaking concept: AI Agents should be recognized and governed as a new class of identity within enterprise environments. As artificial intelligence evolves from predictive models to autonomous agents with memory, goals, and tool access, enterprises face a new spectrum of identity risk that transcends traditional IAM frameworks. This book lays out the philosophical, architectural, and operational foundations necessary to govern these intelligent machine identities across their lifecycles.
 Structured across six parts, the book begins by grounding readers in identity security and ownership. It then introduces the concept of AI agents as complex, evolving identities that demand governance, not just access control. It offers practical guidance on lifecycle management, trust, discovery, and incident response for AI agents, and concludes with future-facing perspectives on human-AI collaboration, critical infrastructure, and compliance.This is not a coding manual or abstract ethics book—it’s a field guide for security professionals, architects, and digital leaders who must design, secure, and take responsibility for the AI identities acting on behalf of their organizations. The writing is crisp, deeply informed, and structured to support real-world decision-making in an era where the lines between automation and agency are quickly disappearing.&nbsp;WHAT YOU WILL LEARN:<ul><li>Understand the emerging category of AI Identities and how they differ from traditional machine accounts.</li><li>Develop strategies for ownership, governance, and lifecycle control of AI agents in enterprise environments.</li><li>Build a framework for discovery, trust scoring, explainability, and behavioral auditing of autonomous agents.</li><li>Learn how to respond to security incidents involving intelligent agents and prevent cascading failures.</li><li>Gain insights into the future of human-AI collaboration and the governance challenges posed by agentic AI.</li></ul>WHO THIS BOOK IS FORThis book is for enterprise security architects, identity professionals, risk officers, and technology executives responsible for the governance and security of digital systems. It is written to inform decision-makers and practitioners who need to understand how to integrate AI agents into their existing identity, compliance, and security programs.

Governing the Next Generation of Autonomous Actors

AI Identities

Agentic AI

Master Retail's Autonomous Future - Foundations of Agentic AI for Retail (Full-Color Edition) 
This book is the definitive, end-to-end playbook showing you how to design, code, and deploy autonomous agents that think, learn, and act in real time-transforming every aspect of your retail business. 
What makes this book indispensable? 
- Full¿Color Visuals: 75+ diagrams, flowcharts, and architecture blueprints rendered in vivid color, making complex concepts, data flows, and decision loops crystal-clear. 
- 50+ Real¿World Retail Use Cases: Explore detailed blueprints and discussions covering demand forecasting, dynamic pricing, conversational merchandising, autonomous store operations, supply chain optimization, and many more-illustrating agent capabilities across the retail landscape. 
- 28 Code Examples: Get hands-on with complete, Python listings covering: BDI agents, OODA loops, MDP, Reinforcement Learning pipelines, LLM-powered ReAct chains, MCP-based negotiations, A2A multi-agent orchestration, and beyond. 
- Retail¿Focused, Industry¿Agnostic Foundations: Master the core math, decision frameworks (like MDPs, Bayesian methods), and reference architectures applicable to any industry, then dive deep into specialized adaptations proven in retail. 
- Rigor + Cutting¿Edge Tech: Bridge foundational AI (optimization, planning) with the latest breakthroughs: Large Language Models (LLMs), OpenAI's Agents SDK, transformer agents, retrieval-augmented generation (RAG), and modern open multi-agent protocols like Anthropic's MCP and Google's A2A. 
Inside you'll learn to: 
1. Architect autonomous retail systems using layered reference models, event-driven patterns, and API-first design. 
2. Orchestrate multi-agent ecosystems that collaborate, negotiate, and self-optimize across pricing, supply chain, marketing, and customer service. 
3. Embed Large Language Models as reasoning engines for complex decision-making and natural-language interactions. 
4. Implement robust feedback loops &amp; guardrails ensuring agents are safe, explainable, and aligned with AI governance standards. 
5. Scale from Proof-of-Concept to enterprise deployment with proven CI/CD pipelines, observability dashboards, and effective rollout strategies. 
Who should read this book? 
- Retail Executives &amp; Strategists: Gain a clear, actionable roadmap for AI-driven transformation and competitive advantage. 
- Software Architects &amp; ML Engineers: Acquire hands-on guidance to design and build next-generation agentic platforms. 
- Researchers &amp; Advanced Students: Use this as a rigorous yet practical reference on developing and deploying autonomous systems. 
- AI Enthusiasts: Get a front-row seat to the convergence of LLMs, computer vision, causal inference, and sensor networks in the dynamic world of retail. 
Why buy now? 
The retail winners of tomorrow are moving today-transitioning from siloed analytics to fully autonomous, continuously learning agentic ecosystems. 
Whether you're reinventing an established brand or launching the next disruptor, this comprehensive, full-color guide delivers the complete toolkit. 
About Author 
Dr. Fatih Nayebi is VP of Data &amp; AI at ALDO Group, steering the retailer's AI strategy and product innovation. A post-doctoral specialist in Machine Learning and HCI, he has spent six years at McGill University teaching Data Science, ML Engineering, Deep Learning, and Agentic AI.

Concepts, Technologies, and Architectures for Autonomous Retail Systems

Foundations of Agentic AI for Retail

The emergence of DeepSeek revealed a profound shift in artificial intelligence. This book uses that moment as a lens to show what happens when efficiency begins to matter more than raw scale, and how that change reshapes business, software, and global competition.
As intelligence becomes cheaper and more reliable, ideas turn into systems, including continuously adapting enterprise workflows. AI agents move from demos to real work. Software stops waiting for humans to navigate screens and starts to act on intent. The traditional Software-as-a-Service model will begin to strain as cheaper, more autonomous intelligence may shift work toward continuously adapting software systems.
Based on real enterprise deployments and global industry trends, The DeepSeek Moment connects efficiency to consequence. It explains why open-source and open-weight models matter as much as benchmark scores, why cloud economics change when AI works, and why control, governance, and sovereignty now shape every serious AI decision. If you’re a leader who must decide what to build, what to buy, what to keep, and what to walk away from, this is the book for you.
What You Will Learn
¿ ¿ ¿ ¿ ¿ Gage human oversight and see why it remains essential as systems become more autonomous.
Who This Book Is For
Business and product strategists, engineering leaders, enterprise architects, and investors who want a clear, grounded view of where AI is heading, and the decisions that follow.

The emergence of DeepSeek revealed a profound shift in artificial intelligence. This book uses that moment as a lens to show what happens when efficiency begins to matter more than raw scale, and how that change reshapes business, software, and global competition.As intelligence becomes cheaper and more reliable, ideas turn into systems, including continuously adapting enterprise workflows. AI agents move from demos to real work. Software stops waiting for humans to navigate screens and starts to act on intent. The traditional Software-as-a-Service model will begin to strain as cheaper, more autonomous intelligence may shift work toward continuously adapting software systems.
 Based on real enterprise deployments and global industry trends, 
 The DeepSeek Moment
 connects efficiency to consequence. It explains why open-source and open-weight models matter as much as benchmark scores, why cloud economics change when AI works, and why control, governance, and sovereignty now shape every serious AI decision. If you’re a leader who must decide what to build, what to buy, what to keep, and what to walk away from, this is the book for you.
 What You Will Learn●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Avoid AI initiatives failing quietly after early success, and how to recognize the warning signs.●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Understand how efficiency-focused architectures allow smaller models to compete with far larger systems.●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Separate durable value from speculation in a crowded AI market.●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Recognize why chips, supply chains, and sovereign AI strategies increasingly shape long-term risk.●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Gage human oversight and see why it remains essential as systems become more autonomous.Who This Book Is ForBusiness and product strategists, engineering leaders, enterprise architects, and investors who want a clear, grounded view of where AI is heading, and the decisions that follow.

A New Era Of Efficiency, Intelligent Design, and Democratization

The DeepSeek Moment

Inside Copilot

Every creative person has experienced that moment when ideas just won't come. The blank page becomes an adversary, deadlines feel like walls closing in, and inspiration appears out of reach. But what if you could work with an artificial intelligence assistant to overcome these obstacles? Not just any chatbot, but a truly creative collaborator who understands your voice, creates new ideas, and even assists with the creation of interesting stories and marketing content. That's exactly what Microsoft Copilot Studio makes possible, and this book shows you how to make it work.

The book opens with an introduction to Copilot Studio, which explains how generative AI is transforming creativity and automation. You will learn about the progress of AI-powered agents, their practical applications across industries, and the distinct advantages of Microsoft's low-code platform. This foundation lays the groundwork for in-depth explorations into creating, modifying, and deploying AI agents that generate dynamic content, engage users, and streamline workflows.

The book maintains a balance between technical depth and understandable explanations, guaranteeing that both non-technical readers and developers can fully utilize Copilot Studio's capabilities. The technical sections include clear annotations, and creative workers will welcome the strategic frameworks for AI-enhanced processes.

What You Will Learn:

Create conversational AI agents for marketing, gaming, and interactive storytelling

Improve creative outputs with prompt engineering (blogs, scripts, social media)

Integrate APIs and data sources to enable real-time, context-aware interactions

Prevent bias, plagiarism, and misuse with ethical considerations

Read case studies of brands that use AI for viral ads, RPG storytelling, and personalized customer experiences




Who This Book Is For:

Whether you're a developer, marketer, or storyteller, this book will help you to realize AI's full potential, transforming how you create, communicate, and compete in the age of generative AI.

Every creative person has experienced that moment when ideas just won't come. The blank page becomes an adversary, deadlines feel like walls closing in, and inspiration appears out of reach. But what if you could work with an artificial intelligence assistant to overcome these obstacles? Not just any chatbot, but a truly creative collaborator who understands your voice, creates new ideas, and even assists with the creation of interesting stories and marketing content. That's exactly what Microsoft Copilot Studio makes possible, and this book shows you how to make it work.The book opens with an introduction to Copilot Studio, which explains how generative AI is transforming creativity and automation. You will learn about the progress of AI-powered agents, their practical applications across industries, and the distinct advantages of Microsoft's low-code platform. This foundation lays the groundwork for in-depth explorations into creating, modifying, and deploying AI agents that generate dynamic content, engage users, and streamline workflows.The book maintains a balance between technical depth and understandable explanations, guaranteeing that both non-technical readers and developers can fully utilize Copilot Studio's capabilities. The technical sections include clear annotations, and creative workers will welcome the strategic frameworks for AI-enhanced processes.What You Will Learn:<ul><li>Create conversational AI agents for marketing, gaming, and interactive storytelling</li><li>Improve creative outputs with prompt engineering (blogs, scripts, social media)</li><li>Integrate&nbsp;APIs and data sources to enable real-time, context-aware interactions</li><li>Prevent&nbsp;bias, plagiarism, and misuse with ethical considerations</li><li>Read case studies of brands that use AI for viral ads, RPG storytelling, and personalized customer experiences</li></ul>Who This Book Is For:Whether you're a developer, marketer, or storyteller, this book will help you to realize AI's full potential, transforming how you create, communicate, and compete in the age of generative AI.

Building Intelligent, Engaging, and Autonomous Assistants

Creative AI Agents with Copilot Studio

Design AI systems that teach your workforce instead of replacing it The Resilient Enterprise: Designing Artificial Intelligence that Teaches the Workforce draws on cognitive psychology and UX principles to show business leaders how to deploy AI that strengthens employee competence rather than eroding it. Victor S. Yocco, PhD, a Staff UX Researcher at ServiceNow with over a decade directing product design research at EY, delivers specific pedagogical design patterns that leaders can implement immediately to counter skill atrophy caused by AI overreliance. The World Economic Forum identifies skill atrophy as a top concern for Chief People Officers due to AI overreliance. This book directly addresses that risk by providing actionable frameworks for designing AI-powered tools and agents that preserve structural knowledge across junior and senior staff. It connects cognitive psychology research to practical interface design, equipping leaders with methods to build organizations where humans and machines both perform at their highest capability. Readers will also find: <ul> <li>Pedagogical design patterns for AI interfaces that reinforce rather than replace employee reasoning and decision-making skills</li> <li>Strategies for preventing cognitive skill atrophy among senior staff whose expertise is being offloaded to AI-powered automation</li> <li>Approaches to ensure junior employees develop the structural knowledge required for their roles alongside AI tools</li> <li>UX principles grounded in cognitive psychology that guide how AI agents should interact with human workers</li> <li>Frameworks for building organizational resilience so teams can function effectively both with and without AI assistance</li> </ul> Written for Chief People Officers, Chief Information Officers, Vice Presidents of Product Management, Directors of Learning and Development, and Senior Managers of Operations, this book provides the pedagogical design patterns and cognitive frameworks needed to deploy AI that preserves and strengthens workforce expertise rather than undermining it.

Designing Artificial Intelligence that Teaches the Workforce

The Resilient Enterprise

Defensible Identity Architecture

Weitere Titel zum Thema