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Sustainable Digital Marketing for
Fashion and Luxury Brands

Sustainable Digital Marketing for Fashion and Luxury Brands

Theory and Practice

This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.The book starts with the foundational aspects of Generative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embeddings to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing you with practical insights into leveraging data effectively for intelligent applications. A chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As you progress through the book, you take a journey from conceptualization to production and deployment of Generative AI applications. You discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.The book equips you with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.What You Will Learn<ul><li>Know the core architecture of LLMs and how these models have revolutionized AI applications</li><li>Handle various data types, including unstructured, structured, and personally identifiable information (PII) data in Generative AI applications</li><li>Understand prompt engineering and its importance in AI interactions and applications</li><li>Understand modular design of Generative AI apps, essential backend and frontend components, and the unique principles guiding Generative AI app design</li></ul>&nbsp;&nbsp;

This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.The book starts with the foundational aspects of Gehatnerative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embeddings to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing you with practical insights into leveraging data effectively for intelligent applications. A chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As you progress through the book, you take a journey from conceptualization to production and deployment of Generative AI applications. You discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.The book equips you with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.&nbsp;What You Will Learn<ul><li>Know the core architecture of LLMs and how these models have revolutionized AI applications</li><li>Handle various data types, including unstructured, structured, and personally identifiable information (PII) data in Generative AI applications</li><li>Understand prompt engineering and its importance in AI interactions and applications</li><li>Understand modular design of Generative AI apps, essential backend and frontend components, and the unique principles guiding Generative AI app design</li></ul>&nbsp;Who This Book Is ForFrom AI enthusiasts exploring the field to software developers seeking practical insights, and business leaders looking to harness the power of AI for organizational growth and innovation&nbsp;&nbsp;

Building and Deploying Ethical AI-Powered Solutions

Practical Generative AI: From Concept to Deployment

Methods, Applications, and Implications

Adaptive AI in Sensor Informatics

Grundlagen, Prinzipien & Einführung des CODIT-Frameworks

Corporate Digital Transformation

Smart Charging Infrastructures

Up-to-date reference enabling readers to address the full spectrum of AI security challenges while maintaining model utility Generative AI Security: Defense, Threats, and Vulnerabilities delivers a technical framework for securing generative AI systems, building on established standards while focusing specifically on emerging threats to large language models and other generative AI systems. Moving beyond treating AI security as a dual-use technology, this book provides detailed technical analysis of three critical dimensions: implementing AI-powered security tools, defending against AI-enhanced attacks, and protecting AI systems from compromise through attacks like prompt injection, model poisoning, and data extraction. The book provides concrete technical implementations supported by real-world case studies of actual AI system compromises, examining documented cases like the DeepSeek breaches, Llama vulnerabilities, and Google's CaMeL security defenses to demonstrate attack methodologies and defense strategies while emphasizing foundational security principles that remain relevant despite technological shifts. Each chapter progresses from theoreticalfoundations to practical applications. The book also includes an implementation guide and hands-on exercises focusing on specific vulnerabilities in generative AI architectures, security control implementation, and compliance frameworks. Generative AI Security: Defense, Threats, and Vulnerabilities discusses topics including: <ul> <li>Machine learning fundamentals, including supervised, unsupervised, and reinforcement learning and feature engineering and selection</li> <li>Intelligent Security Information and Event Management (SIEM), covering AI-enhanced log analysis, predictive vulnerability assessment, and automated patch generation</li> <li>Deepfakes and synthetic media, covering image and video manipulation, voice cloning, audio deepfakes, and AI's greater impact on information integrity</li> <li>Security attacks on generative AI, including jailbreaking, adversarial, backdoor, and data poisoning attacks</li> <li>Privacy-preserving AI techniques including federated learning and homomorphic encryption</li> </ul> Generative AI Security: Defense, Threats, and Vulnerabilities is an essential resource for cybersecurity professionals and architects, engineers, IT professionals, and organization leaders seeking integrated strategies that address the full spectrum of Generative AI security challenges while maintaining model utility.

Triangulating AI Security

Connected Diagnoses: IoT, Healthcare, and Digital Forensics investigates the complex intersection of IoT, healthcare, and digital forensics. This book explores the intricate relationships between these fields, with a focus on cybersecurity, patient data ethics, and challenges in IoT investigations. This book advances knowledge on leveraging IoT securely to enhance patient care and digital forensic analysis, providing significant insights from experts along with practical guidance for those operating at the crossroads of these critical disciplines. The book helps professionals grasp, adapt to, and capitalize on the interconnected nature of emerging technologies to ensure ethics, security, and safety. It is a comprehensive resource that benefits researchers and practitioners seeking to understand the convergence of medical technology, interconnected devices, and digital forensics.

IoT, Healthcare, and Digital Forensics

Connected Diagnoses

EcoWISE

The work delves into the core philosophy of organic landscapes, articulating their essence and value from ecological, spatial, and human-centric perspectives. It innovatively proposes design strategies centered on holism, integration, dynamism, and resilience to create vibrant and sustainable landscape spaces. This design paradigm prioritizes not only aesthetic quality but also ecological functionality and social impact. Beyond showcasing rich practical examples, the book critically examines the theoretical frameworks and methodologies underlying organic landscape design. It serves as an invaluable reference for practitioners, students, and enthusiasts in landscape architecture, urban-rural planning, architecture, ecology, and related fields, offering both inspiration and pragmatic insights.

Selected Landscape Architecture Works from Hui Wang

Organic Landscape

Embedded System and GUI Development using MATLAB for Engineering Applications

Palgrave Studies in Environmental Sociology and Policy

Toward a Sustainable Future

Invitation to Environmental Sociology

Radiologie und Betriebswirtschaft – Steuern, Optimieren, TransformierenAlle&nbsp;betriebswirtschaftlich&nbsp;relevanten Aspekte der Radiologie werden in diesem Buch anschaulich dargestellt.Der Radiologe übernimmt im Krankenhaus und in der Niederlassung immer mehr die Rolle eines Prozessmanagers. Im Krankenhaus und in Praxisverbünden wird er dabei von betriebswirtschaftlichen Experten aus dem Controlling unterstützt. Das Verständnis von radiologischen Prozessen und das Wissen um moderne Methoden des Controllings ist dabei für beide Berufsgruppen besonders wichtig. 

Das Buch beschäftigt sich mit den Akteuren und Schnittstellen der Radiologie, der Strategieplanung und dem Einsatz der technischen Geräte aus betriebswirtschaftlicher Perspektive. Themen sind: <ul><li>Kennzahlen für die Prozesseffizienz der Radiologie im Krankenhaus und der Niederlassung,</li><li>das Leistungsgeschehen, </li><li>Personalbedarfsrechnung und Prozesskostenrechnungen, </li><li>das Abrechnungsmanagement. </li></ul>Über das Prozess- und Qualitätsmanagement führt das Buch mit modernen Methoden (z.B. Balanced Scorecard, Service Blueprinting) hin zu ausführlich dargelegten und aktuell hochrelevanten Themen im Bereich des digitalen Dosismanagements der Digitalisierung von Controlling Prozessen und Aufgaben der medizinischen Leistungserbringung.Das Buch spricht die Berufsgruppen leitender Radiologen im Krankenhaus genauso an wie niedergelassene Radiologen und Krankenhausmanager und -administratoren im Bereich der Verwaltung sowie Experten im Bereich des Controllings.

Alle&nbsp;betriebswirtschaftlich&nbsp;relevanten Aspekte der Radiologie werden in diesem Buch anschaulich dargestellt.Der Radiologe übernimmt im Krankenhaus und in der Niederlassung immer mehr die Rolle eines Prozessmanagers. Im Krankenhaus und in Praxisverbünden wird er dabei von betriebswirtschaftlichen Experten aus dem Controlling unterstützt. Das Verständnis von radiologischen Prozessen und das Wissen um moderne Methoden des Controllings ist dabei für beide Berufsgruppen besonders wichtig. Das Buch beschäftigt sich mit den Akteuren und Schnittstellen der Radiologie, der Strategieplanung und dem Einsatz der technischen Geräte aus betriebswirtschaftlicher Perspektive.&nbsp;Themen sind: <ul><li>Kennzahlen für die Prozesseffizienz der Radiologie im Krankenhaus und der Niederlassung,</li><li>das Leistungsgeschehen, </li><li>Personalbedarfsrechnung und Prozesskostenrechnungen, </li><li>das Abrechnungsmanagement. </li></ul>Über das Prozess- und Qualitätsmanagement führt das Buch mit modernen Methoden (z.B. Balanced Scorecard, Service Blueprinting) hin zu ausführlich dargelegten und aktuell hochrelevanten Themen im Bereich des digitalen Dosismanagements der Digitalisierung von Controlling Prozessen und Aufgaben der medizinischen Leistungserbringung.Das Buch&nbsp;spricht&nbsp;die Berufsgruppen&nbsp;leitender Radiologen im Krankenhaus genauso an wie niedergelassene Radiologen und Krankenhausmanager und -administratoren im Bereich der Verwaltung sowie Experten im Bereich des Controllings.

Controlling, Qualitätsmanagement, Digitalisierung

Management in der Radiologie

Previous research on finite/fixed/predefined-time control and its relevant sliding mode structures focus on forcing a system state (vector) to converge within a certain time moment, regardless of how each state element converges. Time-Synchronized Control and Applications for Autonomous Systems introduces a control problem with unique finite/fixed/predefined-time stability considerations, namely time-synchronized stability, where at the same time, all the system state elements converge to the origin. This book also delves into the wide-ranging applications of time-synchronized control in various practical control systems, including but not limited to spacecraft attitude control/tracking, satellite orbit control, dynamic positioning of vessels, cooperative control of autonomous vehicles, etc. In addition, a diverse array of control system models are considered, encompassing disturbed systems, chaotic systems, multi-input multi-output (MIMO) systems, nonlinear systems, and Euler-Lagrange systems. Through an in-depth exploration of these specific cases, this book showcases the versatility and effectiveness of time-synchronized control methods across different domains, providing readers with a comprehensive perspective on their practical utility.

Time-Synchronized Control and Applications for Autonomous Systems

Harnessing the Power of AI for Your Organization—Profitably and Safely

The AI Conundrum

Sustainable Digital Marketing for Fashion and Luxury Brands

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