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Professional and Applied Computing (R0)

Chaminda Chandrasekara

Sanjaya Yapa

Effective Team Management with VSTS and TFS

A Guide for Scrum Masters

Chapter 1: &amp;nbsp;How to handle teams.-&amp;nbsp;Chapter 2: &amp;nbsp;Working with a Backlog.-&amp;nbsp;Chapter 3: &amp;nbsp;Working on the Iteration.-&amp;nbsp;Chapter 4: Work after an Iteration.-&amp;nbsp;Chapter 5: Roadmap/Project Plan and Resources.-&amp;nbsp;Chapter 6: Adopting VSTS/TFS to your team’s process.&lt;div&gt;&lt;br&gt;&lt;/div&gt;

In the rapidly evolving landscape of artificial intelligence, Salesforce has unleashed a platform that promises to redefine how businesses operate. This book is your guide to mastering Salesforce’s flagship AI product. Agentforce offers autonomous AI agents to streamline workflows, reduce manual labor, and unlock new productivity levels.
From order fulfilment and case management to running marketing campaigns, these autonomous agents are set to become the workforce multipliers of the future. This isn't just another technical manual, it's a comprehensive journey from concept to implementation. Whether you're a Salesforce administrator, developer, consultant, or architect, this book provides a step-by-step blueprint for creating AI agents that generate tangible business value.
Through practical methods, in-depth concept explanations, architectural insights, and example use cases, you'll gain the expertise to transform theoretical potential into operational excellence. Implementing Agentforce isn't just about understanding technology—it's about business transformation. This guide illustrates the tremendous opportunities and potential pitfalls of AI agent deployment. You'll learn not just how to build agents, but how to integrate them seamlessly into your organizational ecosystem, ensuring they become true strategic assets rather than experimental technologies.
With the help of this book, you will have the necessary skill set to launch your first agents, understand the intricate mechanics of AI agent design, and position your organisation at the cutting edge of the agentic revolution.&nbsp;
You Will:
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Learn what AI agents are, how they work, and why they’re transforming business automation.
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Get step-by-step guidance on designing, configuring, and deploying AI agents within Salesforce.
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Learn how to integrate AI agents into your existing workflows and enterprise systems.
&nbsp;

In the rapidly evolving landscape of artificial intelligence, Salesforce has unleashed a platform that promises to redefine how businesses operate. This book is your guide to mastering Salesforce’s flagship AI product. Agentforce offers autonomous AI agents to streamline workflows, reduce manual labor, and unlock new productivity levels.From order fulfilment and case management to running marketing campaigns, these autonomous agents are set to become the workforce multipliers of the future. This isn't just another technical manual, it's a comprehensive journey from concept to implementation. Whether you're a Salesforce administrator, developer, consultant, or architect, this book provides a step-by-step blueprint for creating AI agents that generate tangible business value.Through practical methods, in-depth concept explanations, architectural insights, and example use cases, you'll gain the expertise to transform theoretical potential into operational excellence. Implementing Agentforce isn't just about understanding technology—it's about business transformation. This guide illustrates the tremendous opportunities and potential pitfalls of AI agent deployment. You'll learn not just how to build agents, but how to integrate them seamlessly into your organizational ecosystem, ensuring they become true strategic assets rather than experimental technologies.With the help of this book, you will have the necessary skill set to launch your first agents, understand the intricate mechanics of AI agent design, and position your organisation at the cutting edge of the agentic revolution.&nbsp;You Will:●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Learn what AI agents are, how they work, and why they’re transforming business automation.●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Get step-by-step guidance on designing, configuring, and deploying AI agents within Salesforce.●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Learn how to integrate AI agents into your existing workflows and enterprise systems.This book is for:&nbsp;Salesforce professionals (administrators, technical developers, consultants, architects, business analysts)&nbsp;

Plan, Design, Build and Run AI Agents with Salesforce

A Complete Guide to Agentforce

Lecture Notes in Information Systems and Organisation

This book presents the proceedings of the NeuroIS Retreat 2025, May 26–28, Vienna, Austria, reporting on topics at the intersection of information systems (IS) research, neurophysiology, and the brain sciences. Readers discover the latest findings from top scholars in the field of NeuroIS, which offer detailed insights on the neurobiology underlying IS behavior, essential methods and tools, and their applications for IS, as well as the application of neuroscience and neurophysiological theories to advance IS theory.

NeuroIS Retreat 2025, Vienna, Austria

Information Systems and Neuroscience

Dr Amanyi is a Technical thought leader and Enterprise Architect, partnering with Product owners/ sponsors to develop and deliver a portfolio of technology solutions that fulfill strategic objectives &amp; business needs. Specialties includes Design Planning, Implementation, Orchestrating security solution, Application lifecycle management, Al Governance, Cyber-Security Program, Program Management, Vendor management, Data management, DevOps, Technical Consulting, &amp; Digital Business Transformation with over 20 years experience in consulting space.

THE DOCTRINE OF AI GOVERNANCE

Wie Künstliche Intelligenz die Kultur abschafft

Auserzählt?

Apress Pocket Guides

This concise guide provides a practical introduction to Microsoft Dynamics 365 Business Central tailored for those delving into the realm of ERP advising and development.

Using real-world examples and simplified explanations, this book explores the key functional modules of Business Central, Finance, Sales, Purchasing, and Inventory, while also introducing essential technical aspects such as AL coding, extensions, and integrations. Each chapter blends conceptual overviews, practical how-tos, and best practices to provide a well-rounded understanding of how this all-in-one solution supports the growth and efficiency of modern businesses.

After reading the book, you will be able to understand the essential need-to-know concepts for real-world implementation and customization.

What You Will Learn:

Understanding Business Central as functional and technical consultant

Understand the sales, purchase, and finance workflows

Build simple extensions using AL in Visual Studio Code

Follow real-world practices for functional and technical roles

Core Concepts Made Simple

Microsoft Dynamics 365 Business Central Essentials

The evolution of AI isn’t just about predictive models and automation; it’s about the emergence of “agentic” capabilities—autonomous and specialized AI systems that operate with a sense of independence by acting on a user’s behalf. This book explores, through dialogue between the authors, the transformative role of AI in modern organizations, beginning with its evolution from automation to augmentation and the paradigm shift in human-machine collaboration.The book starts with Microsoft's AI ecosystem, showcasing tools like Copilot, Power Platform, Dynamics 365, and Azure AI that enable AI agentic solutions. It further emphasizes responsible AI implementation, covering ethical guidelines, risk mitigation, and security measures with a specific focus on agentic systems. Finally, it provides a roadmap for businesses and professionals to adapt to an agentic workforce, measuring AI’s impact while preparing for future breakthroughs.&nbsp;After reading this book, you will be able to leverage agentic systems at scale and also address the implications of using agentic AI responsibly.What You Will Learn:<ul><li>The foundations of “agency” in AI</li><li>Practical strategies for implementing agentic AI solutions using Microsoft’s ecosystem</li><li>Best practices in Responsible AI, ethical considerations, and risk mitigation for autonomous agents</li><li>Actionable next steps for embracing agentic AI in day-to-day work and broader AI transformation efforts</li></ul>

Leveraging Microsoft AI and Autonomous Agents to Transform Work and Business

The Agentic AI Revolution

Meine Anfänge | Die Autobiographie des Microsoft-Gründers, #1 New York Times Bestseller

Source Code

The Enterprise Engineering Series

Setting a Route for an Enterprise and keeping It on the Route

Enterprise Governance and Management

Vibe coding is a fresh take in coding where users express their intention using plain speech and the AI transforms that thinking into executable code.&nbsp;This book explores how to vibe code by integrating GitHub copilot into every stage of development, from brainstorming and prototyping to testing and deployment.&nbsp;It will be centered around practical examples in C# and the .NET ecosystem and demystify AI-assisted coding.The book starts with setting up a Github Copilot and how to seamlessly integrate GitHub Copilot into your Visual Studio or VS Code environment. You will learn how to write better code, faster—whether you're prototyping features, generating documentation, or refactoring legacy C# projects. Further, you will dive into real-world workflows, explore groundbreaking tools like Agent Mode and Model Context Protocol (MCP), and pick up powerful tips and tricks to future-proof your development process. After reading the book, you will be able to accelerate your workflow, prototype creative solutions and unlock new levels of productivity.&nbsp;What You Will Learn:<ul><li>How to integrate GitHub Copilot into Visual Studio/ Visual Studio Code</li><li>Best practices for prompting, interpreting</li><li>Deep dive into leveraging GitHub Copilot for core developer workflows</li><li>Leveraging Advanced features like Agent Mode, MCP and more</li><li>Real-World Applications and Future Trends, along with a glimpse into new features releases</li></ul>

Vibe coding is a fresh take in coding where users express their intention using plain speech and the AI transforms that thinking into executable code.&nbsp;This book explores how to vibe code by integrating copilot into every stage of development, from brainstorming and prototyping to testing and deployment.&nbsp;It will be centered around practical examples in C# and the .NET ecosystem and demystify AI-assisted coding.The book starts with setting up a Github Copilot and how to seamlessly integrate GitHub Copilot into your Visual Studio or VS Code environment. You will learn how to write better code, faster—whether you're prototyping features, generating documentation, or refactoring legacy C# projects. Further, you will dive into real-world workflows, explore groundbreaking tools like Agent Mode and Model Context Protocol (MCP), and pick up powerful tips and tricks to future-proof your development process. After reading the book, you will be able to accelerate your workflow, prototype creative solutions and unlock new levels of productivity.What You Will Learn:<ul><li>How to integrate GitHub Copilot into Visual Studio/ Visual Studio Code</li><li>Best practices for prompting, interpreting</li><li>Deep dive into leveraging Copilot for core developer workflows</li><li>Leveraging Advanced features like Agent Mode, MCP and more</li><li>Real-World Applications and Future Trends, along with new features releases</li></ul>Who This Book is For:.NET Developers and GitHub Professionals

Enhancing Productivity by Leveraging GitHub Copilot Inside Visual Studio

Vibe Coding with GitHub Copilot

*THE NO.1 NEW YORK TIMES BESTSELLER* Bill Gates is one of the most transformative figures of our age. In Source Code he takes us back to his beginnings. He describes with candour his childhood in Seattle, the centrality of family - his close relationship with his card-playing grandmother and his demanding but caring parents - his struggles to fit in, his rebelliousness, his first deep friendships and the impact of losing his closest friend. We see Gates's extraordinary mind developing, the restless teenager who discovered a love of coding and computing at the dawn of a new era and felt that 'by applying my brain, I could solve even the world's most complex mysteries'. We see the earliest signs of his phenomenal business acumen, which led him to drop out of Harvard at the age of 20 to devote all his energies to Microsoft, the company he started with his childhood friend Paul Allen. He writes about his first involvement with three Steves - Jobs, Wozniak and Ballmer - who would play a crucial role in so much that followed. The book ends in the late 1970s when Microsoft, still with only a dozen employees, signed its first deal with Apple. The deals would go on and Microsoft would grow unimaginably. Yet Gates never forgot his mother's reminder that he was merely a steward of any wealth that he gained. This warm and inspiring book, Bill Gates' origin story, allows readers to understand his energy and ambition - and to see how he sets himself in the world.

My Beginnings

Dieses Buch ist das erste seiner Art, das die Schlüsselelemente einer Unternehmensdaten- und Analyse-Strategie beschreibt und einen pragmatischen Ansatz zur Definition der Strategie für große Unternehmen vorschreibt. Es basiert auf den erfolgreichen Erfahrungen mit der digitalen Transformation zahlreicher Fortune-500-Unternehmen und anderer großer Unternehmen. Schätzungen zufolge scheitern weltweit mehr als 50 % der Daten- und Analyseinitiativen aufgrund der inhärenten Komplexität solcher Vorhaben.
Einige der Fragen, mit denen Unternehmen kämpfen, sind: Wie definiert man eine Unternehmensdaten- und Analyse-Strategie? Welche Schlüsselelemente sollten dabei berücksichtigt werden? Warum funktioniert ein One-Size-Fits-All-Ansatz nicht für alle Unternehmen? Wie richtet man Daten- und Analyseinitiativen an der Geschäftsstrategie des CEO aus? Wie schafft man eine zukunftsfähige technologische und architektonische Grundlage angesichts der exponentiellen Innovationsrate in Daten- und Analysetechnologien? Wie definiert man das richtige Organisationsmodell für Daten und Analysen? Warum müssen Organisation und Prozesse für Daten und Analysen sich von anderen Funktionen unterscheiden? Wie steuert man den organisatorischen Wandel, um den Erfolg von Daten- und Analyseinitiativen sicherzustellen? Wie definiert man einen Rahmen zur Messung des Geschäftswerts und berechnet den ROI von Daten- und Analyseinitiativen? Welche Schlüsselkompetenzen benötigt ein Daten- und Analyseleiter, um sich durch politische und andere Herausforderungen großer Unternehmen zu navigieren?
Dieses Buch wird Führungskräften, Chief Digital/Analytics Officers, Daten- und Analyseexperten sowie Beratern dabei helfen, diese Fragen zu beantworten. Es unterstützt sie dabei, die verschiedenen Dilemmata, mit denen sie täglich konfrontiert sind, zu bewältigen und ihre Unternehmen datengetrieben zu machen.

Dieses Buch ist das erste seiner Art, das die Schlüsselelemente einer Unternehmensdaten- und Analyse-Strategie beschreibt und einen pragmatischen Ansatz für deren Definition in großen Unternehmen bietet. Es basiert auf den erfolgreichen Erfahrungen mit der digitalen Transformation zahlreicher Fortune-500- und anderer Großunternehmen. Schätzungen zufolge scheitern über 50 % der Daten- und Analyseinitiativen an der inhärenten Komplexität solcher Vorhaben.Unternehmen stehen dabei vor Fragen wie: Wie definiert man eine Unternehmensdaten- und Analyse-Strategie? Warum funktioniert ein One-Size-Fits-All-Ansatz nicht? Wie richtet man Daten- und Analyseinitiativen an der Geschäftsstrategie des CEO aus? Wie schafft man eine zukunftsfähige technologische und architektonische Grundlage angesichts der exponentiellen Innovationsrate in Daten- und Analysetechnologien? Wie steuert man den organisatorischen Wandel, um den Erfolg von Daten- und Analyseinitiativen sicherzustellen? Wie misst man Geschäftswert und ROI solcher Initiativen? Welche Kompetenzen braucht ein Daten- und Analyseleiter, um politische und andere Hürden in Großunternehmen zu meistern?Dieses Buch hilft Führungskräften, Chief Digital/Analytics Officers, Daten- und Analyseexperten sowie Beratern, diese Fragen zu beantworten. Es unterstützt sie darin, tägliche Dilemmata zu bewältigen und ihre Unternehmen datengetrieben aufzustellen.&nbsp;

Praxisleitfaden auf Basis erfolgreicher digitaler Transformationsinitiativen führender globaler Unternehmen

Unternehmensweite Daten- und Analytics-Strategien entwickeln

Chapter 1: Introduction to RHEL AI.- Chapter 2: Setting Up RHEL AI.- Chapter 3: Exploring Core Components.- Chapter 4: Advanced Features of RHEL AI.- Chapter 5: Developing Custom AI Applications.- Chapter 6: Monitoring and Maintenance.- Chapter 7: Use Cases and Best Practices.- Chapter 8: Future Trends in RHEL AI.- Chapter 9: Community and Support.

If you're looking to build, deploy, and scale AI solutions with confidence, 
 Practical RHEL AI
 is the guide you need. Whether you're an AI developer, data scientist, or DevOps engineer, this book walks you through the entire process—from setting up your AI development environment to optimizing and securing enterprise-scale AI workloads on Red Hat Enterprise Linux.
 You'll start with the essentials: installation, configuration, and leveraging powerful machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Then, you’ll dive into the tools that make AI deployment seamless—GPU acceleration, containerization, and cloud integration with AWS and Azure.
 Security and compliance are non-negotiable in AI, and this book makes sure you get them right. Learn how to protect your models with encryption, implement role-based access control (RBAC), and meet industry standards like GDPR and HIPAA. You’ll also master AI workload monitoring with Prometheus and Grafana, troubleshoot common issues, and automate deployments with Ansible.&nbsp;However,&nbsp;theory only gets you so far—real-world applications make the difference. Through hands-on examples and case studies in healthcare, finance, and manufacturing, you’ll see how RHEL AI powers innovation in the field. Plus, you'll get insights into the future of AI, including Explainable AI (XAI), Edge AI, and AI governance. With 
 Practical RHEL AI,
 you’re not just learning AI—you’re building AI solutions that scale.
 You Will:<ul><li>Learn to Install and Configure RHEL AI to optimize machine learning workloads</li><li>Understand how to train and Deploy AI models using TensorFlow, PyTorch, and Scikit-learn</li><li>Explore how to Integrate and Implement GPU acceleration, cloud computing, and containerization for scalable AI solutions</li><li>Learn to Secure and Evaluate AI workloads with encryption, RBAC, and compliance best practices</li></ul>·&nbsp; &nbsp; &nbsp; This Book is for:AI and machine learning engineers, DevOps and system administrators, Data scientists, and IT professionals and cloud architects

Designing, Deploying and Scaling AI Solutions with Red Hat Enterprise Linux

Practical RHEL AI

Effective Team Management with VSTS and TFS

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