Tabla de Contenidos: “…-- Das digitale "Ökosystem" -- 1.1 Ein Ökosystem interdependenter digitaler Technologien -- Das Internet der Dinge -- Kabellose Netze der nächsten Generation: "5G" und darüber hinaus -- Cloud-Computing -- Big-Data-Analysen -- Künstliche Intelligenz -- Blockchain -- Rechenleistung -- Die Kombination verschiedener Technologien in einem digitalen Ökosystem vervielfacht ihr Potenzial -- Die Datenrevolution -- Daten als Rohstoff -- 1.2 Auf Videos von Privatanwendern entfällt fast die Hälfte des globalen IP-Verkehrs -- 1.2 Content Delivery Networks und lokales Daten-Caching -- 1.3 Versuch einer Klassifizierung verschiedener Datentypen -- Wertschöpfung durch Daten -- Wichtige datenbezogene Herausforderungen -- Wichtige Merkmale ("Vektoren") des digitalen Wandels und der neuen Geschäfts-modelle -- Größen-, Verbund- und Geschwindigkeitsvorteile -- 1.1 Vektoren des digitalen Wandels: Größen-, Verbund- und Geschwindigkeitsvorteile -- 1.4 Geschäftsmodelle auf der Basis digitaler Zahlungsinnovationen -- Eigentum, Vermögenswerte und wirtschaftlicher Wert -- 1.2 Vektoren des digitalen Wandels: Eigentum, Vermögenswerte und wirtschaftlicher Wert -- 1.5 Geschäftsmodelle, die Online- und Offline-Merkmale kombinieren -- Beziehungen, Märkte und Ökosysteme -- 1.3 Vektoren des digitalen Wandels: Beziehungen, Märkte und Ökosysteme -- 1.6 Geschäftsmodelle auf der Basis von Online-Plattformen -- Anmerkungen -- Literaturverzeichnis -- Kapitel 2 Den Zugang verbessern -- Den Zugang verbessern: Wo liegen die Prioritäten für die Politik?…”

Tabla de Contenidos: “…Flows of R&D funds in 2014 -- Expanding international collaboration in research and patenting -- Ensuring the effectiveness of government support -- Going digital to boost productivity -- Developing human capital to raise productivity -- Figure 1.15. The use of cloud computing services is low in Korea -- Figure 1.16. …”

Tabla de Contenidos: “…Virtualization Security Issues -- Cloud Computing -- Shared Responsibility -- Microservices, Containers, and Serverless -- Microservices -- Containers -- Containers vs. …”

Tabla de Contenidos: “…Stress Testing -- Scenario Analysis -- Verifying the Measurements: Back-Testing -- Conditional Value-at-Risk (CVaR) or Expected Shortfall -- Two Useful Rules of Thumb -- Market Risk Management -- Policies -- Best Practices in Market Risk Management -- Basic Practice -- Standard Practice -- Best Practice -- Case Study: Market Risk Management at Chase -- Risk Measurement and Management -- Obstacles and Successes -- A Look to the Future -- Chapter 14 Operational Risk Management -- Operational Risk-Definition and Scope -- Process Risk -- People Risk -- System Risk -- Event Risk -- Business Risk -- The Operational Risk Management Process -- Risk Policy and Organization -- Risk Identification and Assessment -- Capital Allocation and Performance Measurement -- Risk Mitigation and Control -- Risk Transfer and Finance -- Best Practice in Operational Risk Management -- Basic Practice -- Standard Practice -- Best Practice -- Emerging IT Risks -- Cyber Security -- Cloud Computing -- Social Media -- Case Study: Heller Financial -- Changes Within the Organization -- ERM and Operational Risk Management -- Heller's Evolving Risk Profile -- Objectives of ERM -- Organizational Changes -- Components of the ERM Project -- Implementation Phase -- Post Note -- Chapter 15 Business Applications -- Stage I: Minimizing the Downside -- Stage II: Managing Uncertainty -- Stage III: Performance Optimization -- The Further Evolution of Risk Management -- Chapter 16 Financial Institutions -- Industry Trends -- Consolidation -- Deregulation -- Competition -- Convergence -- Risk Management Requirements -- Risks by Industry Sector -- Cross-sector Risks -- Systemic Risk -- A Look to the Future -- Case Study: CIBC -- Chapter 17 Energy Firms -- Industry Trends -- Risk Management Requirements -- Price and Volume Risks -- Event and Weather Risks -- Risk Sharing -- Optionality -- Basis Risk…”

“…Develop and implement an effective end-to-end security program Today’s complex world of mobile platforms, cloud computing, and ubiquitous data access puts new security demands on every IT professional. …”

Tabla de Contenidos: “…Hardening server security -- Check for open ports or services -- System firewall configuration -- System update -- Disable USB -- Hard disk encryption -- BIOS protection -- Check the installed packages -- Password policies -- Secure and encrypt remote access -- Implement activity logging -- Document the host information -- Authentication NTLM versus Kerberos -- Password policies -- Server-level permissions -- Server antivirus and malware protection -- Local security policies -- Summary -- Questions -- Further reading -- Chapter 4: Cloud Security Design -- Cloud offerings -- IaaS -- PaaS -- SaaS -- Public versus private -- Public IaaS versus private IaaS -- Public PaaS versus private PaaS -- Public SaaS versus private SaaS -- Shared technology and shared danger -- Security approach for cloud computing -- Traditional enterprise network model -- Hybrid data center and cloud network -- Network security devices for IaaS -- Firewall Virtual Appliance -- Virtual TAP vTAP -- Virtual Router -- Virtual web application firewalls -- DDoS attack protection -- Data loss prevention -- Exploited system vulnerabilities -- Summary -- Questions -- Further reading -- Chapter 5: Application Security Design -- GDPR -- Getting consent -- Access to data -- Encryption -- SQL Injection -- Prevention of SQL Injection attack on web applications -- Employing comprehensive data sanitization -- Deploying a Web Application Firewall -- Limit database privileges -- Finding vulnerabilities -- WAFs -- WAF protection against common web attacks -- Blacklisting and whitelisting -- What is blacklisting? …”

Tabla de Contenidos: “…-- The basic components of API architecture and communication protocols -- Types of APIs and their benefits -- Common communication protocols and security considerations -- Summary -- Further reading -- Chapter 2: The Evolving API Threat Landscape and Security Considerations -- A historical perspective on API security risks -- The early days of APIs -- The rise of the web and web APIs -- The rise of REST and modern APIs -- The era of microservices, IoT, and cloud computing -- The modern API threat landscape -- Key considerations for API security in a growing ecosystem -- Emerging trends in API security -- Zero-trust architecture in API security -- Exploring blockchain for enhanced API security -- The rise of automated attacks and bots -- Quantum-resistant cryptography in API security -- Serverless architecture security in API security -- Behavioral analytics and user behavior profiling in API security -- Lesson from a real-life API data breach -- Uber data breach (2016) -- Equifax data breach (2017) -- MyFitnessPal data breach (2018) -- Facebook Cambridge Analytica scandal (2018) -- Summary -- Further reading -- Chapter 3: OWASP API Security Top 10 Explained -- OWASP and the API Security Top 10 - A timeline -- Exploring the API Security Top 10 -- OWASP API 1 - Broken Object Level Authorization -- OWASP API 2 - Broken Authentication…”

“…This updated second edition further expands on applying genetic algorithms to NLP and XAI and speeding up genetic algorithms with concurrency and cloud computing. You’ll also get to grips with the NEAT algorithm. …”

Tabla de Contenidos: “…Las tecnologías de la Industria 4.0 -- Los pilares del progreso tecnológico -- Big d ata, el análisis de datos de múltiples fuentes -- Visión por computadora -- Robots industriales -- Simulación -- Integración de sistemas horizontal y vertical -- Internet industrial de las cosas -- Ciberseguridad -- La computación en la nube (cloud computing) -- Fabricación aditiva -- R ealidad virtual y realidad aumentada -- Realidad mixta -- Capítulo 4. …”

Tabla de Contenidos: “…-- 1.2 A Classification System for Underlying AI/ML Algorithms -- 1.3 AI and Deep Learning in Medicine -- 1.4 The Emergence of Multimodal and Multipurpose Models in Healthcare -- References -- Chapter 2 Building Robust Medical Algorithms -- 2.1 Obtaining Datasets That are Big Enough and Detailed Enough for Training -- 2.2 Data Access Laws and Regulatory Issues -- 2.3 Data Standardization and Its Integration into Clinical Workflows -- 2.4 Federated AI as a Possible Solution -- 2.5 Synthetic Data -- 2.6 Data Labeling and Transparency -- 2.7 Model Explainability -- 2.8 Model Performance in the Real World -- 2.9 Training on Local Data -- 2.10 Bias in Algorithms -- 2.11 Responsible AI -- References -- Chapter 3 Barriers to AI Adoption in Healthcare -- 3.1 Evidence Generation -- 3.2 Regulatory Issues -- 3.3 Reimbursement -- 3.4 Workflow Issues with Providers and Payers -- 3.5 Medical-Legal Barriers -- 3.6 Governance -- 3.7 Cost and Scale of Implementation -- 3.8 Shortage of Talent -- References -- Chapter 4 Drivers of AI Adoption in Healthcare -- 4.1 Availability of Data -- 4.2 Powerful Computers, Cloud Computing, and Open Source Infrastructure -- 4.3 Increase in Investments -- 4.4 Improvements in Methodology -- 4.5 Policy and Regulatory -- 4.5.1 FDA -- 4.5.2 Other Bodies -- 4.6 Reimbursement -- 4.7 Shortage of Healthcare Resources -- 4.8 Issues with Mistakes, Inefficient Care Pathways, and Non-personalized Care -- References -- Part II Applications of AI in Healthcare -- Chapter 5 Diagnostics -- 5.1 Radiology -- 5.2 Pathology -- 5.3 Dermatology -- 5.4 Ophthalmology -- 5.5 Cardiology -- 5.6 Neurology…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Artificial Intelligence-The Driving Force of Industry 4.0 -- 1.1 Introduction -- 1.2 Methodology -- 1.3 Scope of AI in Global Economy and Industry 4.0 -- 1.3.1 Artificial Intelligence-Evolution and Implications -- 1.3.2 Artificial Intelligence and Industry 4.0-Investments and Returns on Economy -- 1.3.3 The Driving Forces for Industry 4.0 -- 1.4 Artificial Intelligence-Manufacturing Sector -- 1.4.1 AI Diversity-Applications to Manufacturing Sector -- 1.4.2 Future Roadmap of AI-Prospects to Manufacturing Sector in Industry 4.0 -- 1.5 Conclusion -- References -- Chapter 2 Industry 4.0, Intelligent Manufacturing, Internet of Things, Cloud Computing: An Overview -- 2.1 Introduction -- 2.2 Industrial Transformation/Value Chain Transformation -- 2.2.1 First Scenario: Reducing Waste and Increasing Productivity Using IIoT -- 2.2.2 Second Scenario: Selling Outcome (User Demand)-Based Services Using IIoT -- 2.3 IIoT Reference Architecture -- 2.4 IIoT Technical Concepts -- 2.5 IIoT and Cloud Computing -- 2.6 IIoT and Security -- References -- Chapter 3 Artificial Intelligence of Things (AIoT) and Industry 4.0-Based Supply Chain (FMCG Industry) -- 3.1 Introduction -- 3.2 Concepts -- 3.2.1 Internet of Things -- 3.2.2 The Industrial Internet of Things (IIoT) -- 3.2.3 Artificial Intelligence of Things (AIoT) -- 3.3 AIoT-Based Supply Chain -- 3.4 Conclusion -- References -- Chapter 4 Application of Artificial Intelligence in Forecasting the Demand for Supply Chains Considering Industry 4.0 -- 4.1 Introduction -- 4.2 Literature Review -- 4.2.1 Summary of the First Three Industrial Revolutions -- 4.2.2 Emergence of Industry 4.0 -- 4.2.3 Some of the Challenges of Industry 4.0 -- 4.3 Application of Artificial Intelligence in Supply Chain Demand Forecasting -- 4.4 Proposed Approach…”

Tabla de Contenidos: “…. -- See also -- Chapter 11: Rising to the Cloud - Java EE, Containers, and Cloud Computing -- Introduction -- Building Java EE containers using Docker -- Getting ready -- How to do it... -- How it works... -- See also -- Using Oracle Cloud for container orchestration in the cloud -- Getting ready -- How to do it... -- How it works... -- There's more... -- Using Jelastic for container orchestration in the cloud -- Getting ready -- How to do it... -- How it works... -- There's more... -- Using OpenShift for container orchestration in the cloud -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Using AWS for container orchestration in the cloud -- Getting ready -- How to do it... -- How it works... -- There's more... -- Appendix: The Power of Sharing Knowledge -- Introduction -- Why contributing to the Adopt a JSR program can make you a better professional -- Understanding the Adopt a JSR program -- Collaborating on the future of Java EE -- Setting yourself up for collaboration -- Set aside a specific time for it -- Choose where you'll concentrate your effort -- Do it! …”

Tabla de Contenidos: “…Bill of Material Risk Grading Tools -- Environmental Risk Solutions -- The Global Driver Shortage and Poor Utilization -- Vehicle Monitoring Tools -- Computer Vision Systems Using Smart Cameras -- Autonomous Trucks -- Supply Chain Resilency in a Post-COVID World -- Criticism and Defense of Lean Inventory Management -- Good Sourcing Strategies -- Supply Chain Stress Testing -- Summary -- Sample Questions -- Notes -- Chapter 5 Improving Cybersecurity Using Smart Technology -- Introduction -- Trends Increasing the Risk of Manufacturing and Supply Chain Cyberattacks -- Globalization and Specialization -- Improved Security Within the Corporate Network -- Artificial Intelligence and the Internet of Things -- Software Supply Chain Compromises -- The Emergence of Cloud Computing and the Public Cloud -- Targeting Small Companies -- So Why Is Manufacturing and the Supply Chain an Attractive Target? …”

Tabla de Contenidos: “…3.3.3 - Multisource Manufacturing Information Processing and Sharing -- 3.4 - Deployment of multisensors -- 3.4.1 - Description of Multisource Manufacturing Information -- 3.4.2 - Multiple Sensors Selection -- 3.5 - Multiple sensors manager -- 3.6 - Multisource manufacturing information capturing and sharing -- 3.6.1 - Data Preprocessing -- 3.6.2 - Information Encapsulation -- 3.6.3 - Manufacturing Information Sharing -- 3.7 - Case study -- 3.7.1 - Hardware Device -- 3.7.2 - Software System -- References -- Chapter 4 - IoT-Enabled Smart Assembly Station -- 4.1 - Introduction -- 4.2 - Related works -- 4.2.1 - RFID-Based Applications in Assembly Line -- 4.2.2 - Assistant Services for Assembly Line -- 4.3 - Overall architecture of IoT-enabled smart assembly station -- 4.4 - Real-time status monitoring -- 4.5 - Real-time production guiding -- 4.6 - Real-time production data sharing -- 4.7 - Real-time production requeuing -- References -- Chapter 5 - Cloud Computing-Based Manufacturing Resources Configuration Method -- 5.1 - Introduction -- 5.2 - Related works -- 5.2.1 - Cloud Manufacturing -- 5.2.2 - Real-Time Production Information Perception and Capturing -- 5.2.3 - Cloud Service Selection and Composition -- 5.3 - Overall architecture of manufacturing resources configuration method -- 5.4 - Cloud machine model -- 5.4.1 - The Information Model of Manufacturing Service -- 5.4.2 - The Ontology Model of Manufacturing Service -- 5.5 - MS-UDDI -- 5.5.1 - UDDI -- 5.5.2 - The Framework of MS-UDDI -- 5.6 - Manufacturing service registration and publication -- 5.7 - Task-driven manufacturing service configuration model -- 5.7.1 - Task-Driven Service Proactive Discovery -- 5.7.2 - Service Optimal Configuration Method -- References -- Chapter 6 - IoT-Enabled Smart Trolley -- 6.1 - Introduction -- 6.2 - Related works -- 6.2.1 - Material Handling…”

Tabla de Contenidos:

Tabla de Contenidos: “…MQTT-SN architecture and topology -- Transparent and aggregating gateways -- Gateway advertisement and discovery -- Differences between MQTT and MQTT-SN -- Constrained Application Protocol -- CoAP architecture details -- CoAP Messaging Formats -- CoAP usage example -- Other protocols -- STOMP -- AMQP -- Protocol summary and comparison -- Summary -- Chapter 10: Cloud and Fog Topologies -- Cloud services model -- NaaS -- SaaS -- PaaS -- IaaS -- Public, private, and hybrid cloud -- Private cloud -- Public cloud -- Hybrid cloud -- The OpenStack cloud architecture -- Keystone - identity and service management -- Glance - image service -- Nova compute -- Swift - Object Storage -- Neutron - Networking services -- Cinder - Block Storage -- Horizon -- Heat - orchestration (optional) -- Ceilometer - telemetry (optional) -- Constraints of cloud architectures for IoT -- Latency effect -- Fog computing -- The Hadoop philosophy for Fog computing -- Fog Computing versus Edge Computing versus cloud computing -- OpenFog Reference Architecture -- Application services -- Application support -- Node management and software backplane -- Hardware virtualization -- OpenFog node security -- Network -- Accelerators -- Compute -- Storage -- Hardware platform infrastructure -- Protocol abstraction -- Sensors, actuators, and control systems -- Amazon Greengrass and Lambda -- Fog Topologies -- Summary -- Chapter 11: Data Analytics and Machine Learning in the Cloud and in the Fog -- Basic data analytics in IoT -- Top-level cloud pipeline -- Rules engines -- Ingestion - streaming, processing, and data lakes -- Complex event processing -- Lambda architecture -- Sector use cases -- Machine learning in IoT -- Machine learning models -- Classification -- Regression -- Random forest -- Bayesian models -- Convolutional Neural Networks -- First layer and filters…”

“…Amazon Web Services (AWS) is a leader in public cloud computing, and was the first to offer a managed container platform in the form of the Elastic Container Service (ECS). …”

Tabla de Contenidos: “…Mehrere Rangfolgen erstellen -- Reporting-Funktionen -- Fenstergrenzen -- lag und lead -- Verketten von Spaltenwerten -- Testen Sie Ihr Wissen -- Übung 16-1 -- Übung 16-2 -- Übung 16-3 -- Kapitel 17: Mit großen Datenbanken arbeiten -- Partitionieren -- Partitionierungskonzepte -- Tabellen partitionieren -- Indizes partitionieren -- Partitionierungsmethoden -- Vorteile des Partitionierens -- Clustering -- Sharding -- Big Data -- Hadoop -- NoSQL und Dokumentendatenbanken -- Cloud Computing -- Zusammenfassung -- Kapitel 18: SQL und Big Data -- Einführung in Apache Drill -- Dateien mit Drill abfragen -- MySQL mit Drill abfragen -- MongoDB mit Drill abfragen -- Drill mit mehreren Datenquellen verwenden -- Die Zukunft von SQL -- Anhang A: ER-Diagramm der Musterdatenbank -- Anhang B: Lösungen zu den Übungen -- Index…”

Tabla de Contenidos: “…Intro -- Cover -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- Chapter 1 An Introduction to Linux and a Pre-Assessment Exam -- A Brief History of Linux -- Batch Processing -- MULTICS -- UNIX -- Linux -- Linux Operating System Structure -- Kernel -- Operating System Software -- Application Software -- Linux Distributions -- Distribution Differences -- Linux Derivatives -- Common Linux Implementations -- Linux on the Desktop -- Linux on the Server -- Mobile Linux -- Linux and Virtualization -- Linux and Cloud Computing -- Embedded Linux -- Chapter Review -- Pre-Assessment Test -- Questions -- Quick Answer Key -- In-Depth Answer Explanations -- Analyzing Your Results -- Chapter 2 Using the vi Text Editor -- The Role and Function of the vi Text Editor -- Editing Text Files in vi -- Opening Files in vi -- The vi Modes -- Working in Normal Mode -- Working in Command-Line Mode -- Exercise 2-1: Using the vi Editor -- Editing Text Files in nano -- Command Keys -- Configuration Files -- Chapter Review -- Questions -- Answers -- Chapter 3 Working with the Linux Shell -- What Is a Shell? …”

“…Mastering Microsoft Intune, Second Edition, explains various concepts in detail to give you the clarity on how to use Microsoft Intune and eliminate any migration challenges. You'll master Cloud Computing services such as Windows 365 Cloud PCs, Intune Suite, Windows Autopatch, Windows Autopilot, profile management, monitoring and analytics, Universal Print, and much more. …”