Allgemein
Generative AI For Executives
In the fast-evolving digital landscape, understanding the potential of generative AI is a strategic advantage. This book can serve as an easy to read introduction to the topic of the transformative power of AI in content creation, customer engagement, and operational efficiency. By deciphering complex AI concepts into practical insights, we empower decision-makers to envision innovative strategies, foster cross-industry collaborations, and navigate ethical considerations. The book will help executives and business decision makers to harness the immense potential of generative AI responsibly, ensuring data integrity and compliance while fostering a competitive edge.The book is focused on (1) Explaining in jargon-free language what Generative AI, and AI in general, (2) What problems they solve, and (3) What technologies make them possible.WHAT YOU WILL LEARNHow generative AI models are built, how they generate new data or content, and the underlying algorithms powering these processesVarious practical applications of generative AI in business contextsThe challenges that could arise during the integration of generative AI into business processesWHO THIS BOOK IS FORThis book is meant to be bought and read by busy executives and business leadersAHMED BOUZID is Founder and CEO of Witlingo, a McLean, Virginia, based startup that builds products and solutions to help brands establish and grow their Voice and Social Audio presence. Prior to Witlingo, Dr. Bouzid was Head of Alexa’s Smart Home Product at Amazon and VP of Product and Innovation at Genesys. Dr. Bouzid is an Ambassador at the Open Voice Network and heads their Social Audio Community. Dr. Bouzid holds 12 patents in the Speech Recognition and Natural Language Processing field, and was recognized as a “Speech Luminary” by Speech Technology Magazine.PAOLO NARCISO is head of Product and Program Development at AARP Foundation, a Washington, DC based national non-profit. In his role, he develops and deploys solutions that build financial stability and social connections. He holds a Doctorate in Education from Creighton University and sits on multiple technology boards, advising on the use of blockchain in healthcare and to secure property rights for marginalized populations.WEIYE MA: Dr. Weiye Ma obtained her PhD in Speech Processing and Recognition from Katholieke Universiteit Leuven (Belgium) in 1999, and has been practicing professionally in the Speech Recognition field since 1994. She has held several technical leadership roles in Unisys, Schneider Electric, Convergys, and is now Lead Speech Scientist at the MITRE Corporation, in charge of building Speech systems for the Federal Aviation Agency.Chapter 1: Unraveling the Basics of Generative AI.- Chapter 2: Exploring the Transformative Potential of Generative AI.- Chapter 3: Revolutionizing Content: Generative AI in Marketing and Advertising.- Chapter 4: Elevating Customer Interactions with Generative AI.- Chapter 5: Streamlining Operations through Generative AI.- Chapter 6: Pioneering Products with Generative AI.- Chapter 7: Charting the Course: Strategies for Successful Generative AI Implementation.- Chapter 8: Navigating Risks and Legalities of Generative AI.- Chapter 9: Quantifying Success: Evaluating the ROI of Generative AI Initiatives.- Chapter 10: Looking Ahead: Preparing for the Future of Generative AI.
Microsoft 365 Copilot At Work
LEARN TO LEVERAGE MICROSOFT'S NEW AI TOOL, COPILOT, FOR ENHANCED PRODUCTIVITY AT WORKIn Microsoft 365 Copilot At Work: Using AI to Get the Most from Your Business Data and Favorite Apps, a team of software and AI experts delivers a comprehensive guide to unlocking the full potential of Microsoft's groundbreaking AI tool, Copilot. Written for people new to AI, as well as experienced users, this book provides a hands-on roadmap for integrating Copilot into your daily workflow. You'll find the knowledge and strategies you need to maximize your team's productivity and drive success. The authors offer you a unique opportunity to gain a deep understanding of AI fundamentals, including machine learning, large language models, and generative AI versus summative AI. You'll also discover:* How Copilot utilizes AI technologies to provide real-time intelligent assistance and revolutionize the way you work with Microsoft 365 apps* Practical Implementation Strategies for project and change management, as well as practical guidance on rolling out Copilot within your organization* Specific use cases, including Outlook, Teams, Excel, PowerPoint, and OneNote, and how Copilot can streamline tasks and boost efficiency across various Microsoft applicationsTake your Copilot proficiency to the next level with advanced AI concepts, usage monitoring, and custom development techniques. Delve into Microsoft Framework Accelerator, Copilot plugins, semantic kernels, and custom plugin development, empowering you to tailor Copilot to your organization's unique needs and workflows. Get ready to revolutionize your productivity with Microsoft 365 Copilot! SANDAR VAN LAAN is a Senior Principal at Slalom within the Microsoft Modern Work and AI space, leading Copilot rollouts across multiple clients and demonstrating a deep understanding of AI and its practical applications in the enterprise environment. His strategic approach has been instrumental in guiding organizations through the adoption process, ensuring seamless integration and maximizing the benefits of AI technologies. JARED MATFESS serves as an AI Architect at AvePoint, bringing more than two decades of experience within the Microsoft ecosystem to his role. He has been honored with the Microsoft MVP award six times for the Office App & Services category and is actively engaged in sharing his expertise at various community events. Jared’s primary ambition is to assist organizations in their transformation by leveraging advanced technologies like AI. THOMAS FLOCK is a senior consultant at Slalom and specializes in data integrating using AI. His father was a senior engineer for MCI starting in 1983 when he was born, so Thomas has been around computers all his life. Thomas grew up in the Fairfax Virginia area and his first job was for Network Access Solutions in Herndon as a TCP/IP tester. ANN REID is a keen early adopter and experienced M365 Copilot implementation consultant with Slalom. With over 20 years of IT experience, she recognizes the transformative impact of M365 Copilot on organizations as well as challenges it presents. She shares some practical knowledge and strategies for building robust information protection capabilities and demystifies the process of prompt engineering for M365 Copilot. Introduction xxiPART I UNDERSTANDING AND USING COPILOT 1CHAPTER 1 INTRODUCTION TO ARTIFICIAL INTELLIGENCE 3The Importance of AI 4Foundations of AI 5Real-World Applications of AI 6Impact of AI on Various Industries 7Healthcare Industry 7Manufacturing Industry 8Finance Industry 9Case Studies of Successful AI Implementations 10Ethical Considerations 12Responsible Use of AI 13Future Ethical Considerations 14AI and Society 15Public Perception and Acceptance of AI 16The Future of AI 16Potential Advancements and Breakthroughs 16Preparing for an AI-driven Future 17Conclusion 18CHAPTER 2 INTRODUCTION TO MICROSOFT 365 COPILOT 19Microsoft 365 Copilot—Your Personal AI Assistant 19Differences from Other Chat-based AI Personal Assistants 21Fitting Microsoft 365 Copilot into a Day-to-day Routine 21Prompt Generation 24Fact-Checking 24Microsoft 365 Copilot Versus Clippy 24The Security of Microsoft 365 Copilot 25Conclusion 25CHAPTER 3 AN INTRODUCTION TO PROMPT ENGINEERING 27Introduction to Large Language Models 28Foundations of Prompt Engineering 29Concept of Prompt Engineering 29Three Prompt Mnemonics 30Refining Your Prompt 33Other Prompting Styles 34Prompt Validation Steps 36Copilot Lab 38Overview of Copilot Lab 38Bookmarking Your Favorite Prompts 40The Future of Prompt Engineering 40Conclusion 41CHAPTER 4 SECURITY/PURVIEW PLANNING IN PREPARATION FOR COPILOT 43Introduction to Information Protection 43Deploying M365 Copilot 44Building a Culture of Information Protection 44Identifying Weaknesses in Information Protection 45Conducting a Risk Assessment 46Review Your Security Foundations 48Zero Trust and Conditional Access 48Identity Access Management 49Dynamic Access Policies 50Data Classification and Sensitivity Labels 52Review Your Data Policies 53Data Loss Prevention Policies 54Data Retention Policy 54Data Encryption Policy 55Data Breach Policy 56Acceptable Use Policy 57Review Your Toolkit 58Microsoft Entra ID 59Microsoft Copilot Dashboard 60Public Web Content in M365 Copilot 61Microsoft Purview 62SharePoint Advanced Management 65AI-Powered Security Capability 66Get Your Pilot Started with These Initial Steps 67Conclusion 69CHAPTER 5 PLANNING YOUR MICROSOFT 365 COPILOT ROLLOUT 71Project Management 72Stakeholder Management 72The Project Team Pilot 73The “Equity” Risk 76The “Oversharing” Risk 77Technical Enablement 79Initial Provisioning Issues 80Governance 80Content Governance 81Copilot Acceptable Use Policy 82Microsoft 365 Copilot Operating Model Dependency 82Generative AI Steering Committee Best Practices 84Change Management 86The Power of Personas 88Building Your Change Champion Network 89Identifying Change Champions 89Mobilizing Change Champions 90Creating Onboarding Materials 90Copilot Lab 91Hosting Office Hours 92Success Measures 93Technical Extensibility 97Managing Microsoft 365 Copilot Extensibility Requests 97Building Your Copilot Center of Excellence 99Conclusion 100CHAPTER 6 MICROSOFT COPILOT BUSINESS CHAT 101Free Personal Versus Paid Corporate Versions 102Accessing the Free Version of Business Chat 102Accessing the Paid Version of Business Chat 104Working with Business Chat 108Pulling Data from the Internet 110Pulling Information from Internal Systems 112Copilot on Your Phone 113Privacy Concerns Using Business Chat 116Conclusion 117CHAPTER 7 MICROSOFT OUTLOOK 119Creating Communications with Microsoft 365 Copilot 120Drafting Your Prompt 120Tone and Length 121Refining Your Message 123Managing Escalations 124Microsoft 365 Copilot Coaching 124Summarizing Email Threads 125Email Summarization—Chat 127Calendar Information 129Conclusion 131CHAPTER 8 COPILOT IN MICROSOFT TEAMS 133Managing Project Communications 134Summarizing Chats and Channel Communications 134Creating Posts and Chats with Copilot 138Creating a post or chat with Copilot 138Tone and Length 141Copilot and Grammatical Issues 141Managing Project Meetings 141Using Copilot During a Live Meeting 142Using Copilot with a Past Meeting 143Copilot in Microsoft Teams Phone 144Data Privacy and Security 144Conclusion 146CHAPTER 9 COPILOT IN MICROSOFT EXCEL 147Getting Started with Copilot in Excel 147Identifying a Dataset 148Preparing Your Workbook 148Manipulating Excel Data 150Creating New Formulas 150Creating Charts 152Creating a PivotTable with Copilot 156Asking Questions About Your Data 157Copilot Suggested Prompts for Data Insights 159Additional Formatting 162Managing Sales Data with Copilot 165Conclusion 171CHAPTER 10 COPILOT IN MICROSOFT POWERPOINT 173Preparing Your PowerPoint Template for Copilot 174Initial Setup of an Organizational Assets Library 174PowerPoint Template Requirements 175Creating Your First PowerPoint Presentation with Copilot 176Improving the Prompt 177Improving the Content 179Generating New Content 182Navigating Microsoft PowerPoint with Copilot 184Creating a PowerPoint Presentation from a Microsoft Word Document 186Refining Your Presentation with Copilot 188Using Copilot to Get Feedback on a Presentation 189Using Copilot to Clarify a Presentation 190Using Copilot to Improve Engagement on a Presentation 191Conclusion 191CHAPTER 11 COPILOT IN MICROSOFT LOOP 193Loop Overview 193What’s in a Loop? 194Getting Started with Loop 195Loop Components within Teams 196Creating a Loop Workspace 197Inviting Others to Collaborate 198When to Use Loop 199Positioning Loop in Your Organization 200Use Cases for Loop 200Microsoft 365 Copilot in Loop 202Brainstorming with Copilot 204Unlocking Insights with Copilot 208Conclusion 210CHAPTER 12 TRANSFORMING TEXT WITH COPILOT IN MICROSOFT WORD 211Getting Started with Copilot in Word 212Using Reference Documents to Enhance Copilot Results 214Rewriting with Copilot 215Copilot’s Document Analysis Capability 218Conclusion 220PART II EXTENDING COPILOT 221CHAPTER 13 UNLOCKING REAL VALUE WITH COPILOT 223The Business Case for Copilot 223Executive Summary 225Background and Introduction 226Business Objectives 228Current Situation Analysis 229Solution Description 230Implementation Plan 231Cost-Benefit Analysis 231Evaluation and Measurement 233Presenting Your Business Case 234Measuring Business Value 234Copilot Adoption Dashboard Setup 234Accessing the Copilot Adoption Dashboard 235Copilot Adoption Dashboard “Advanced Features” 238Viva Pulse Surveys 238Mapping Business Processes: The Proposal Use Case 242Mapping Your RFP Response Process 243Aligning Tasks to Copilot Capabilities 243Building an Enterprise Prompt Library 244Reporting Your ROI 246Conclusion 248CHAPTER 14 INTRODUCTION TO MICROSOFT COPILOT STUDIO 249Who Should Use Copilot Studio? 250Customizing Existing Copilot vs. Creating a Stand-alone Copilot 250Getting Started with Microsoft Copilot Studio 252Navigating the Copilot Studio User Interface 252Building Your First Copilot 255Testing Your Copilot 259Publishing Your Copilot 260Creating a Copilot Plugin 264Testing Your Copilot Plugin 270Conclusion 272CHAPTER 15 CREATING A CUSTOM TEAMS COPILOT 273Extensibility Options 274Knowledge and Software Prerequisites 274An Understanding of the General Architecture of Plugins 275A Code Background 275A Microsoft Developer Account 276Node.js and npm 277Introduction to Node.js 277Installing Node.js 278Selecting the Correct Version of Node.js 279npm Configuration Tips 280Installing .NET 282A Configured Integrated Development Environment 283Installing and Setting Up VSCode IDE 284Downloading VSCode 284Essential Extensions for VSCode 285Customizing the IDE for Productivity 285Installing Azure AI Studio SDKs and Necessary Libraries 286Setting Up TypeScript for Azure AI Development 286Git 287Installing Git 287Initial Git Setup 288Building a Custom Teams Copilot 288Deploying a Custom Teams Copilot 300Introduction to Semantic Kernel 304Conclusion 305CHAPTER 16 COPILOT WAVE 2 FEATURES 307Bizchat, aka Copilot Chat 307Copilot Updates in Outlook 309Copilot Updates in PowerPoint 310Copilot Updates in Microsoft Teams 314Copilot Updates in Word 314Copilot Updates in Excel 315Copilot Updates in OneDrive 317Copilot Pages 319Copilot Agents 321Conclusion 323Index 325
Grundlagen der Nachhaltigkeit - Interdisziplinäre Perspektiven
Dieses Buch bietet umfassende Informationen zum Thema „Nachhaltigkeit“. Es erläutert zunächst unterschiedliche Begriffsverständnisse der Nachhaltigkeit sowie verwandte Begriffe, wie z. B. Corporate Responsibility (CR), Corporate Social Responsibility (CSR) und Environmental, Social and Governance (ESG). Darauf aufbauend werden geschichtliche Entwicklungen dargestellt und die Umsetzung in ausgewählten Branchen beleuchtet. Weitere Schwerpunkte sind Strategien, Managementregeln und Leitprinzipien sowie die nachhaltigen Entwicklungsziele der Vereinten Nationen (SDGs). Modelle zur Lösung von Zielkonflikten und ausgewählte Ansätze zur Bewertung von Nachhaltigkeit finden ebenfalls Berücksichtigung. Unter anderem wird auf den ökologischen Fußabdruck, den Social Progress Index (SPI), den Genuine Progress Indicator (GPI) und das Life Cycle Sustainability Assessment (LCSA) eingegangen. Abschließend werden die menschlichen Bedürfnisse in Relation zur Nachhaltigkeit gesetzt. Das Buch unterstützt Führungskräfte, Fachleute in Unternehmen und Politik sowie Studierende dabei, die vielfältigen Herausforderungen der Nachhaltigkeit besser zu verstehen. Neben Ökonomen richtet es sich auch an Informatiker, Juristen und andere Berufsgruppen. Der Autor Prof. Dr. Michael Jacob lehrt und forscht im Fachbereich Betriebswirtschaft der Hochschule Kaiserslautern. Davor war er unter anderem als Mitglied der Geschäftsführung bei PricewaterhouseCoopers Consulting Luxembourg und als wissenschaftlicher Leiter am Institut für Betriebswirtschaft und Wirtschaftsinformatik tätig. Dieses Buch bietet als Band 1 von zunächst vier Bänden grundlegende Informationen zum Thema „Nachhaltigkeit“. Weitere Bestandteile der Reihe sind Band 2 (Ökologie), Band 3 (Soziales) und Band 4 (Ökonomie). Band 1 erläutert zunächst unterschiedliche Begriffsverständnisse der Nachhaltigkeit und vielfältige andere Begriffe, wie z. B. Corporate Responsibility (CR), Corporate Social Responsibility (CSR) und Environmental, Social und Governance (ESG). Darauf aufbauend werden geschichtliche Entwicklungen aufgezeigt und die Umsetzung in ausgewählten Branchen dargestellt. Weitere Schwerpunkte sind Strategien, Managementregeln und Leitprinzipien sowie die nachhaltigen Entwicklungsziele der Vereinten Nationen (SDGs). Modelle zur Lösung von Zielkonflikten und ausgewählte Ansätze zur Bewertung von Nachhaltigkeit finden ebenfalls Berücksichtigung. Unter anderem wird auf den ökologischen Fußabdruck, den Social Progress Index (SPI), den Genuine Progress Indicator (GPI) und das Life Cycle Sustainability Assessment (LCSA) eingegangen. Abschließend werden die menschlichen Bedürfnisse in Relation zur Nachhaltigkeit gesetzt. Das Buch hilft Führungskräften, Spezialisten in Unternehmen und Politik sowie Studierenden, die vielfältigen Herausforderungen der Nachhaltigkeit besser zu verstehen. Neben Ökonomen werden auch Informatiker, Juristen und andere Berufsgruppen angesprochen, wenn sie über ihre Fachperspektive hinaus ein umfassendes Verständnis von Nachhaltigkeit erwerben wollen. Begriffe.- Entwicklung und Umsetzung.- Zielkonzepte und Bewertung.- Systematik menschlicher Bedürfnisse. Prof. Dr. Michael Jacob lehrt und forscht im Fachbereich Betriebswirtschaft der Hochschule Kaiserslautern. Nach einer Bankausbildung und einem Studium der Betriebswirtschaftslehre war er unter anderem als Mitglied der Geschäftsführung bei PricewaterhouseCoopers Consulting S.à r.l. Luxembourg und als wissenschaftlicher Leiter am Institut für Betriebswirtschaft und Wirtschaftsinformatik tätig. Als Autor von bisher sieben Fachbüchern und vielen anderen Veröffentlichungen versucht er, die Theorie mit seinen umfangreichen Praxiserfahrungen zu verknüpfen und Themen fachübergreifend zu vernetzen.
Ökologische Nachhaltigkeit - Interdisziplinäre Perspektiven
Dieses Buch bietet als Band 2 einer zunächst vier Bände umfassenden Reihe grundlegende Informationen zum Thema „Ökologische Nachhaltigkeit“. Die weiteren Bände der Reihe sind Band 1 (Allgemeine Grundlagen), Band 3 (Soziales) und Band 4 (Ökonomie). Band 2 erläutert nach einer Einführung zum Aufbau und der Entstehung der Erde folgende Themenbereiche: Klima, Leben, Luft, Wasser und Boden. In jedem dieser Kapitel werden zunächst die wesentlichen Fakten dargestellt und darauf aufbauend die Herausforderungen und aktuellen Entwicklungen erörtert. Das Kapitel „Klima“ behandelt unter anderem das Klimasystem, die Klimageschichte, Klimazonen, Klimamodelle und die Folgen des Klimawandels. Im Kapitel „Leben“ geht es beispielsweise um Lebensräume, Biodiversität, den Verlust der Artenvielfalt und Überfischung. Das Kapitel „Luft“ behandelt nach einer Erläuterung der Atmosphäre exemplarisch die Themen Treibhausgase und Luftverschmutzung. Wasserkreislauf, Wasserknappheit, Ozeanversauerung, Bodenfruchtbarkeit und Bodentrockenheit sind ausgewählte Stichworte in den Kapiteln „Wasser“ und „Boden“. Das Buch unterstützt Führungskräfte, Spezialisten in Unternehmen und Politik sowie Studierende dabei, die vielfältigen Herausforderungen der ökologischen Nachhaltigkeit besser zu verstehen. Neben Ökonomen werden auch Informatiker, Juristen und andere Berufsgruppen angesprochen, die über ihre Fachperspektive hinaus ein umfassendes Verständnis von ökologischer Nachhaltigkeit erwerben möchten. Prof. Dr. Michael Jacob lehrt und forscht im Fachbereich Betriebswirtschaft der Hochschule Kaiserslautern. Nach einer Bankausbildung und einem Studium der Betriebswirtschaftslehre war er unter anderem als Mitglied der Geschäftsführung bei PricewaterhouseCoopers Consulting S.à r.l. Luxembourg und als wissenschaftlicher Leiter am Institut für Betriebswirtschaft und Wirtschaftsinformatik tätig. Als Autor von bisher sieben Fachbüchern und vielen anderen Veröffentlichungen versucht er, die Theorie mit seinen umfangreichen Praxiserfahrungen zu verknüpfen und Themen fachübergreifend zu vernetzen.Grundlagen der ökologischen Dimension.- Klima.- Leben.- Luft.- Wasser.- Boden.- Übergreifende Themen.
Soziale Nachhaltigkeit - Interdisziplinäre Perspektiven
Dieses Buch bietet grundlegende Informationen zum Thema „Soziale Nachhaltigkeit“. Es erläutert nach einer Darstellung der Grundlagen der Gesellschaft folgende Themenbereiche: Gerechtigkeit, Gesundheit, Ernährung, Sicherheit, Bildung, Wohnen und Energie. In jedem dieser Kapitel werden zunächst die wesentlichen Fakten dargestellt und darauf aufbauend die Herausforderungen und aktuellen Entwicklungen erörtert. Das Kapitel „Gerechtigkeit“ behandelt unter anderem die Themen globale Gerechtigkeit, Generationengerechtigkeit sowie Ungleichheit und Armut. Im Kapitel „Gesundheit“ geht es beispielsweise um Wohlbefinden, Lebenserwartung und gesundheitliche Ungleichheit. Das Kapitel „Ernährung“ behandelt exemplarisch die Themen Ernährungssicherheit und Ernährungssouveränität, klimafreundliche und nachhaltige Ernährung sowie Hunger. Sicherheitsmanagement, Frieden, Bildungschancen, inklusive Bildung, Wohnungspolitik, Urbanisierung sowie Energiewende und erneuerbare Energien sind ausgewählte Stichworte der weiteren Kapitel. Das Buch unterstützt Führungskräfte, Spezialisten in Unternehmen und Politik sowie Studierende dabei, die vielfältigen Herausforderungen der sozialen Nachhaltigkeit besser zu verstehen. Neben Ökonomen werden auch Informatiker, Juristen und andere Berufsgruppen angesprochen, die über ihre Fachperspektive hinaus ein umfassendes Verständnis von sozialer Nachhaltigkeit erwerben möchten. Der Autor Prof. Dr. Michael Jacob lehrt und forscht im Fachbereich Betriebswirtschaft der Hochschule Kaiserslautern. Davor war er unter anderem als Mitglied der Geschäftsführung bei PricewaterhouseCoopers Consulting Luxembourg und als wissenschaftlicher Leiter am Institut für Betriebswirtschaft und Wirtschaftsinformatik tätig. Dieses Buch bietet als Band 3 einer zunächst vier Bände umfassenden Reihe grundlegende Informationen zum Thema „Soziale Nachhaltigkeit“. Die weiteren Bände der Reihe sind Band 1 (Allgemeine Grundlagen), Band 2 (Ökologie) und Band 4 (Ökonomie). Band 3 erläutert nach einer Darstellung der Grundlagen der Gesellschaft folgende Themenbereiche: Gerechtigkeit, Gesundheit, Ernährung, Sicherheit, Bildung, Wohnen und Energie. In jedem dieser Kapitel werden zunächst die wesentlichen Fakten dargestellt und darauf aufbauend die Herausforderungen und aktuellen Entwicklungen erörtert. Das Kapitel „Gerechtigkeit“ behandelt unter anderem die Themen globale Gerechtigkeit, Generationengerechtigkeit sowie Ungleichheit und Armut. Im Kapitel „Gesundheit“ geht es beispielsweise um Wohlbefinden, Lebenserwartung und gesundheitliche Ungleichheit. Das Kapitel „Ernährung“ behandelt nach einer Erläuterung der ernährungswissenschaftlichen Grundbegriffe exemplarisch die Themen Ernährungssicherheit und Ernährungssouveränität, klimafreundliche und nachhaltige Ernährung sowie Hunger. Sicherheitsmanagement, Frieden, Bildungschancen, inklusive Bildung, Wohnungspolitik, Urbanisierung sowie Energiewende und erneuerbare Energien sind ausgewählte Stichworte in den Kapiteln „Sicherheit“, „Bildung“, „Wohnen“ und „Energie“. Das Buch unterstützt Führungskräfte, Spezialisten in Unternehmen und Politik sowie Studierende dabei, die vielfältigen Herausforderungen der sozialen Nachhaltigkeit besser zu verstehen. Neben Ökonomen werden auch Informatiker, Juristen und andere Berufsgruppen angesprochen, die über ihre Fachperspektive hinaus ein umfassendes Verständnis von sozialer Nachhaltigkeit erwerben möchten. Grundlagen der sozialen Dimension.- Gerechtigkeit.- Gesundheit.- Ernährung.- Sicherheit.- Bildung.- Wohnen.- Energie. Prof. Dr. Michael Jacob lehrt und forscht im Fachbereich Betriebswirtschaft der Hochschule Kaiserslautern. Nach einer Bankausbildung und einem Studium der Betriebswirtschaftslehre war er unter anderem als Mitglied der Geschäftsführung bei PricewaterhouseCoopers Consulting S.à r.l. Luxembourg und als wissenschaftlicher Leiter am Institut für Betriebswirtschaft und Wirtschaftsinformatik tätig. Als Autor von bisher sieben Fachbüchern und vielen anderen Veröffentlichungen versucht er, die Theorie mit seinen umfangreichen Praxiserfahrungen zu verknüpfen und Themen fachübergreifend zu vernetzen.
AI-Powered Ecommerce
This book helps you explore the fusion of artificial intelligence with the world of online retail, providing an in-depth understanding of how AI technologies are revolutionizing ecommerce. From decoding ecommerce business models to optimizing efficiency in ecommerce deliveries, each chapter delves into a specific aspect of AI-powered ecommerce, providing practical insights and strategies for success. The journey commences with decoding ecommerce business models in a diverse landscape. From direct selling to marketplace platforms, the book illuminates the inner workings of each model, exploring revenue drivers, cost considerations, and the components of profitability. As you progress through the book, it delves deeper into the ecommerce platform itself, exploring its role in facilitating transactions and nurturing customer relationships. Subsequent chapters delve into the intricacies of merchandising in ecommerce, search, recommendation engines, ranking algorithms, personalization techniques, and efficiency improvements. From teaching the science behind matching queries to products to crafting personalized customer experiences, each chapter offers invaluable insights and actionable strategies for leveraging AI in ecommerce. Whether you're a seasoned ecommerce professional or a newcomer, this book equips you with the knowledge and actionable use cases needed to stay ahead of the curve in an increasingly competitive landscape. What You Will Learn * Understand the buyer and seller aspects of ecommerce platforms and how they engage customers * Know the diverse landscape of ecommerce business models * Apply AI/ML technologies to ecommerce to enhance user experience and drive business outcomes * Know how AI/ML can influence revenue generation and cost optimization in ecommerce businesses This book helps you explore the fusion of artificial intelligence with the world of online retail, providing an in-depth understanding of how AI technologies are revolutionizing ecommerce. From decoding ecommerce business models to optimizing efficiency in ecommerce deliveries, each chapter delves into a specific aspect of AI-powered ecommerce, providing practical insights and strategies for success. The journey commences with decoding ecommerce business models in a diverse landscape. From direct selling to marketplace platforms, the book illuminates the inner workings of each model, exploring revenue drivers, cost considerations, and the components of profitability. As you progress through the book, it delves deeper into the ecommerce platform itself, exploring its role in facilitating transactions and nurturing customer relationships. Subsequent chapters delve into the intricacies of merchandising in ecommerce, search, recommendation engines, ranking algorithms, personalization techniques, and efficiency improvements. From teaching the science behind matching queries to products to crafting personalized customer experiences, each chapter offers invaluable insights and actionable strategies for leveraging AI in ecommerce. Whether you're a seasoned ecommerce professional or a newcomer, this book equips you with the knowledge and actionable use cases needed to stay ahead of the curve in an increasingly competitive landscape. What You Will Learn * Understand the buyer and seller aspects of ecommerce platforms and how they engage customers * Know the diverse landscape of ecommerce business models * Apply AI/ML technologies to ecommerce to enhance user experience and drive business outcomes * Know how AI/ML can influence revenue generation and cost optimization in ecommerce businesses Who This Book Is For Data scientists, machine learning engineers, product and category managers in ecommerce, and business executives Chapter 1: Decoding Ecommerce: Business Models for Delivering Value.- Chapter 2: Ecommerce Platform: Journey from Click to Conversion.- Chapter 3: Ecommerce Merchandising: Presenting Curated Products.- Chapter 4: Ecommerce Search: Matching Query to Products.- Chapter 5: Recommendations: Creating Curated Choices.- Chapter 6: Ranking Algorithms: The Science of Sorting.- Chapter 7: Personalization: AI-crafted Personalized Experiences.- Chapter 8: Efficiency: Efficient Ecommerce Deliveries. Ramgopal Prajapat is a seasoned Data Science professional with over 20 years of experience, specializing in Data Science, Machine Learning (ML) and Artificial Intelligence (AL). He held leadership positions at Tata CLiQ, where he directed teams focused on customer experience enhancement and risk mitigation through AI/ML solutions. As an Associate Partner at IBM, Ramgopal led transformative Data and AI programs for various sectors, including the Government of India and asset management companies. With extensive experience with firms such as Accenture, HSBC, and Infosys, he co-founded a hyper-local ecommerce venture, showcasing his expertise in developing and implementing Data Science and AI/ML strategies. Ramgopal's passion for teaching and his recognition of a significant gap in marketplace and AI understanding among professionals led him to write a book aimed at providing comprehensive resources and actionable strategies for mastering AI-powered ecommerce.
Introduction to Data Governance for Machine Learning Systems
This book is the first comprehensive guide to the intersection of data governance and machine learning (ML) projects. As ML applications proliferate, the quality, reliability, and ethical use of data is central to their success, which gives ML data governance unprecedented significance. However, adapting data governance principles to ML systems presents unique, complex challenges. Author Aditya Nandan Prasad equips you with the knowledge and tools needed to navigate this dynamic landscape effectively. Through this guide, you will learn to implement robust and responsible data governance practices, ensuring the development of sustainable, ethical, and future-proofed AI applications.The book begins by covering fundamental principles and practices of underlying ML applications and data governance before diving into the unique challenges and opportunities at play when adapting data governance theory and practice to ML projects, including establishing governance frameworks, ensuring data quality and interpretability, preprocessing, and the ethical implications of ML algorithms and techniques, from mitigating bias in AI systems to the importance of transparency in models.Monitoring and maintaining ML systems performance is also covered in detail, along with regulatory compliance and risk management considerations. Moreover, the book explores strategies for fostering a data-driven culture within organizations and offers guidance on change management to ensure successful adoption of data governance initiatives. Looking ahead, the book examines future trends and emerging challenges in ML data governance, such as Explainable AI (XAI) and the increasing complexity of data.WHAT YOU WILL LEARN* Comprehensive understanding of machine learning and data governance, including fundamental principles, critical practices, and emerging challenges* Navigating the complexities of managing data effectively within the context of machine learning projects* Practical strategies and best practices for implementing effective data governance in machine learning projects* Key aspects such as data quality, privacy, security, and ethical considerations, ensuring responsible and effective use of data* Preparation for the evolving landscape of ML data governance with a focus on future trends and emerging challenges in the rapidly evolving field of AI and machine learningWHO THIS BOOK IS FORData professionals, including data scientists, data engineers, AI developers, or data governance specialists, as well as managers or decision makers looking to implement or improve data governance practices for machine learning projectsADITYA NANDAN PRASAD is an experienced analytics leader with a strong track record in driving business intelligence and recommendations for operational and strategic decision making. He excels at leading and developing high-performing teams and collaborating to identify growth strategies. With a passion for complex data analysis and a tool-agnostic approach, he brings a data-driven perspective to solving business problems. Aditya has successfully led data migration projects and implemented innovative analytics solutions to support strategic business initiatives, and his experience in leading and collaborating with cross-functional teams has helped him become an expert on implementing data governance practices within organizations.Chapter 1: Introduction to Machine Learning Data Governance.- Chapter 2: Establishing a Data Governance Framework.- Chapter 3: Data Quality and Preprocessing.- Chapter .- 4: Data Privacy and Security Considerations.- Chapter 5: Ethical Implications and Bias Mitigation.- Chapter 6: Model Transparency and Interpretability.- Chapter 7: Monitoring and Maintaining Machine Learning System.- Chapter 8: Regulatory Compliance and Risk Management.- Chapter 9: Organizational Culture and Change Management.- Chapter 10: Future Trends and Emerging Challenges.
LPIC-3 Virtualization and Containerization Study Guide
Get up to speed on the key topics required for the Linux Professional Institute's LPIC-3 305 exam, the third in the four-part LPIC-3 certification, which covers virtualization and containerization. The wider LPIC-3 certification helps developers and system administrators become experts in a given context of Linux and Open Source solutions. This study companion is designed to sit alongside your studies and certification guides as you prepare for the exam and will take you through the three main areas of Full Virtualization, Container Virtualization as well as VM Deployment and Provisioning. We will undertake a deep dive of all the major topics, from the basics of virtualizations and containers to in-depth breakdown of virtualization solutions like KVN, Xen and Proxmox as well as popular containers like Docker, Kubernetes, Openstack, Terraform, Packer, Vagrant and others with key concepts covered on the exam called out and applied in each chapter of this book, giving you both practice and reinforcement, a far more effective learning tool than rote learning or similar approaches typically enlisted in exam preparation. LPIC-3 Virtualization and Containerization Study Guide will give you the guidance and support as you take the next exciting step in supercharging your Linux skills and knowledge to take the next step in your professional career. You Will: * Gain a clear picture about the different types of virtualization in use today. * Understand how to work with virtualization solutions like KVM and Xen, and manage them using the libvirt API. * Become aware of the use of fully enterprise-ready virtualization solutions like Proxmox. * Learn the technologies that make Open Source virtualization, possible. Get up to speed on the key topics required for the Linux Professional Institute's LPIC-3 305 exam, the third in the four-part LPIC-3 certification, which covers virtualization and containerization. The wider LPIC-3 certification helps developers and system administrators become experts in a given context of Linux and Open Source solutions. This study companion is designed to sit alongside your studies and certification guides as you prepare for the exam and will take you through the three main areas of Full Virtualization, Container Virtualization as well as VM Deployment and Provisioning. We will undertake a deep dive of all the major topics, from the basics of virtualizations and containers to in-depth breakdown of virtualization solutions like KVN, Xen and Proxmox as well as popular containers like Docker, Kubernetes, Openstack, Terraform, Packer, Vagrant and others with key concepts covered on the exam called out and applied in each chapter of this book, giving you both practice and reinforcement, a far more effective learning tool than rote learning or similar approaches typically enlisted in exam preparation. LPIC-3 Virtualization and Containerization Study Guide will give you the guidance and support as you take the next exciting step in supercharging your Linux skills and knowledge to take the next step in your professional career. You Will: * Gain a clear picture about the different types of virtualization in use today. * Understand how to work with virtualization solutions like KVM and Xen, and manage them using the libvirt API. * Become aware of the use of fully enterprise-ready virtualization solutions like Proxmox. * Learn the technologies that make Open Source virtualization, possible This is for: Developers and more seasoned Linux SysAdmins who are working towards the LPIC-3 certification. It would be expected that readers will meet the requirements of taking the exam which includes having passed the LPIC-2 certification. However, this guide will also be of use to Linux professionals who are not currently pursuing certification but wish to expand and refresh their Linux skills in relation to virtualization and containerization. Chapter 1.Virtualization concepts and theory.- Chapter 2.QEMU.- Chapter 3.Xen..- Chapter 4.Libvirt Virtual Machine Management.- Chapter 5.Virtual Machine Disk Image Management.- Chapter 6.Proxmox, vSwitch and other tools.- Chapter 7.Container virtualization concepts.- Chapter 8.Linux Containers (LXC).- Chapter 9.Docker.- Chapter 10.Container orchestration platforms.- Chapter 11.Podman and other container related tools.- Chapter 12.Cloud management tools.- Chapter 13.Packer.- Chapter 14.Cloud-init.- Chapter 15.Vagrant. Antonio Vazquez is a Senior Linux System Adminsitator with over 20 years of experience in the IT fieid. As an avid champion of FOSS, he has been using Linux for dacades, hold many professional certifications inlcuding the LPIC-3 certification as well as non Linux related topics including cloud and security. Antonio is also a trainer who teaches students to get LPI certified, and also write books in his spare time.
Mastering the Snowflake SQL API with Laravel 10
This book is your essential guide to mastering Snowflake’s SQL API, offering a comprehensive understanding of this powerful tool. In today’s data-driven world, robust, flexible, and scalable solutions are crucial, and Snowflake’s Data Cloud platform is a game-changer in cloud data warehousing and analytics. The book includes examples using both Snowflake and the Laravel PHP Framework, assuming basic knowledge of SQL and Laravel.Key topics include SQL API development, SQL basics, advanced techniques, data security, performance tuning, best practices for data warehousing, integrations, real-world use cases, future trends in data analytics, and leveraging PHP in Laravel for dynamic web applications. This book equips you with the skills to unlock insights, make data-driven decisions, and stay ahead in your industry.Whether you’re aiming to advance your career, enhance your organization’s data infrastructure, or confidently make data-driven decisions, _Mastering Snowflake SQL API with Laravel 10_ is a must-have resource for excelling in integrated data analytics and cloud data warehousing.What You Will Learn* Master SQL fundamentals and advanced techniques* Explore data loading, security, and performance optimization* Keep up-to-date on best practices for efficient data warehousing* Gain insights into real-word use cases* Prepare for future Snowflake and data innovationsWHO THIS BOOK IS FORData professionals, IT managers, business executives, students, and data enthusiasts.Ronny, a dynamic author in the field of data, analytics, and programming, brings over 15 years of invaluable expertise to his work. Residing in Dallas, Texas, Ronny's passion for data-driven insights ignited during his time at the University of Oklahoma, where he honed his analytical skills and set the foundation for his illustrious career.With a visionary spirit and a knack for leading data teams, Ronny has spearheaded transformative projects across various industries. His journey through the ever-evolving landscape of data technology has not only established him as a thought leader but also fueled his commitment to sharing knowledge. Mastering Snowflake SQL API with Laravel 10 is a testament to Ronny's dedication to empowering others with the skills and wisdom gained from his remarkable journey in the world of data. At the age of 35, Ronny's story exemplifies how passion and expertise can converge to shape the future of data analytics1. Snowflake.- 2. The Snowflake Data Cloud.- 3. Getting Started with Snowflake SQL API.- 4. SQL Basics in Snowflake Using Snowflake SQL API.- 5. Advanced SQL Techniques using Snowflake SQL API.- 6. Data Security and Access Control.- 7. Performance Tuning and Optimization.- 8. Data Warehousing Best Practices.- 9. Working With Laravel 10.- 10. Architectural Patterns and Solutions.- 11. Community and Resources.- 12. Conclusion.
Improving Operating Leverage Using Hyperautomation
Improving operating leverage is about operational resilience, structural operational efficiency, and sustainable revenue growth. Activity-based enterprise non-interest cost management is an important component of enterprise risk adjusted return management methodology. This book builds on the author Kannan Subramanian’s earlier book, _Event- and Data-Centric Enterprise Risk-Adjusted Return Management_, delving in depth into enterprise non-interest operating cost management and operating leverage.Operating Leverage is about managing a bank’s capabilities and its capacity to deliver its products and services efficiently. It is not limited to managing operational costs but includes the operational support for the growth of business and for improving profitability. Profit is an absolute measure that denotes the amount of money the bank makes after deducting all expenses. Profitability measures how efficient the bank is at utilizing its resources to generate risk-adjusted returns. The reader can learn to improve risk adjusted operational effectiveness by implementing a nuanced approach to managing performance, risk, control, and cost simultaneously, at the process level.You’ll examine how some institutions have implemented activity-based costing in a siloed environment and without enterprise process automation. Many institutions do not have a scientific way of managing non-interest costs. The book explains why hyperautomation, a technology that intelligently automates business processes, is a more advanced and comprehensive way to manage these factors in a holistic and integrated way._Improving Operating Leverage using Hyperautomation_ is your complete guide to enhancing risk adjusted operational performance through a nuanced approach to performance, risk, control, and costs at the process level.WHAT YOU WILL LEARN* Define and use the bill of resources to improve operating leverage.* Implement activity-based enterprise non-interest cost management using hyperautomation* Monitor performance, risk, control, and cost at the process level.* Implement time-driven activity-based costing for an enterprise risk-adjusted return model.WHO THIS BOOK IS FORMost banking industry professionals, including senior management teams, consultants, central bankers, financial regulators, software vendors, and Business Process Management Suite/Hyperautomation technology vendors.KANNAN SUBRAMANIAN R is a Chartered Accountant with 35+ years of experience in the banking and financial services industry and has experience with financial markets in USA, Europe, and Asia. He has worked for Standard Chartered Bank and for leading banking software solution companies, including the leading global risk management solution provider, Algorithmics, now part of IBM Risk Management & Analytics. KannanHe advises System Design Consulting Prospero AG on strategic matters and in the design of risk management and analytical solutions. He has successfully leveraged his academic and work experience to provide value to his customers. His passion for the subject motivates him to prioritize his time to write books on automation and risk-reward management in banks.www.BankERRM.org www.PBORM.org1 Enterprise Operating Model.- Chapter 2: Non-interest cost management.- Chapter: 3 Enterprise Process Automation, TDABC.- Chapter 4: Operating Leverage.- Chapter 5: Improving Operating Leverage.- Chapter 6: Operating Leverage – Bank of the Future.
Internet of Medicine for Smart Healthcare
This book provides in-depth explanations and discussions of the latest applications of Artificial Intelligence (AI), machine learning, and the Internet of Medicine, offering readers the cutting edge on this rapidly growing technology that has the potential to transform healthcare and improve patient outcomes. Over the past five years, there have been significant advances in healthcare through the use of artificial intelligence (AI) and machine learning (ML) technologies. AI and machine learning in medical imaging has significantly improved the accuracy and speed of medical imaging analysis, accelerated the drug discovery process by identifying potential drug targets and predicting the efficacy and safety of new drugs, and enabled personalized medicine by analyzing large amounts of patient data to identify individualized treatment plans based on a patient’s genetic makeup and medical history. Internet of Medicine (IoM) refers to the integration of the Internet of Things (IoT) and connected medical devices with healthcare systems and processes to enable remote monitoring, diagnosis, and treatment of patients. IoM is a subset of the larger Internet of Things concept, which involves the connection of everyday devices and appliances to the internet for various purposes. IoM has the potential to revolutionize healthcare by improving patient outcomes, reducing costs, and increasing efficiency. Some of the specific applications of IoM include remote patient monitoring, real-time data analysis, predictive analytics, smart hospitals, and personalized medicine. Abhishek Kumar, PhD, is an assistant director and associate professor in the Computer Science and Engineering Department in Chandigarh University, Punjab, India. He has over 13 years of academic experience with more than 100 publications in reputed, peer-reviewed national and international journals, books, and conferences. Additionally, he has also authored six books and edited 25 books that have been internationally published. He is also a member of various national and international professional societies in the field of engineering and research, including the Institute of Electrical and Electronics Engineers, International Association of Engineers, and Institute of Research Engineers and Doctors. Narayan Vyas is a principal research consultant at AVN Innovations, where he is actively involved in research and development in computer science and engineering. He qualified for the National Testing Agency’s University Grants Commission National Eligibility Test and Junior Research Fellowship on his first attempt, showcasing his academic excellence. He has published many articles in reputed, peer-reviewed national and international Scopus journals and conferences. Additionally, he has served as a keynote speaker and resource person for several workshops and webinars conducted in India. Pramod Singh Rathore is an assistant professor in the Department of Computer and Communication Engineering, Manipal University, Jaipur. With over 11 years of academic teaching experience, he has published more than 55 papers in reputable, peer-reviewed national and international journals, books, and conferences and co-authored and edited numerous books with well-known publishers. He serves on the editorial and advisory committees of the Global Journal Group and is a member of various national and international professional societies in the field of engineering and research, including the International Association of Engineers. Abhineet Anand, PhD, is the Director in the department of Advanced Information Technology-Computer Science and Engineering, Chandigarh University with over 22 years of experience. He has published more than 40 Scopus-indexed papers, 25 papers in international conferences, eight international journals, three national journals, and three national conferences. He has been part of 20 special sessions at various international conferences as a session chair/co-chair and contributed at 20 different conferences as a Technical Program Committee member. Pooja Dixit is visiting faculty in the Department of Computer Science and Engineering, Maharshi Dayanand Saraswati University, Ajmer, India with over eight years of experience. She has published many papers in reputable, peer-reviewed national and international journals, books, and conferences. Her research includes Artificial intelligence, Data Mining, Machine Learning, and Internet of Things.
ChatGPT Power-Prompting
* Effektive Prompting-Strategien für maßgeschneiderte KI-Ergebnisse inkl. Custom GPTs * Über 1.000 praxisbewährte Prompts für Beruf und Alltag * Ideal für Einsteiger und Fortgeschrittene geeignet Ihr Weg zum Power-Prompting Mit diesem Praxisbuch lernen Sie alle Techniken, um das Potenzial von ChatGPT und ähnlicher KIs voll auszuschöpfen. Sie erfahren, wie Sie zielgerichtete Prompts schreiben und mit der KI interagieren, um qualitativ hochwertige Ergebnisse zu erhalten, die genau Ihren Anforderungen entsprechen. Ganz gleich, ob Sie ChatGPT im Berufsalltag oder privat einsetzen - dieses Buch führt Sie Schritt für Schritt zum Erfolg. Systematischer Leitfaden für Einsteiger und Profis Dieses Buch bietet eine umfassende Einführung in das professionelle Prompt Engineering. Erfahren Sie, wie Sie ChatGPT bestimmte Rollen zuweisen, Kontext und Zielgruppe genau festlegen und differenzierte Antworten erzielen. Diese grundlegenden Techniken sowie das Erstellen von Custom GTPs ermöglichen es Ihnen, die KI gezielt zu steuern und für jeden Anwendungsfall optimale Ergebnisse zu erhalten. ChatGPT effektiv in der Praxis einsetzen Über 1.000 praxiserprobte Prompts demonstrieren, wie Sie ChatGPT als mächtiges Werkzeug in Ihren Alltag oder Arbeitsprozess integrieren: vom kreativen Schreiben über Reiseplanung, Sprachen lernen Bewerbungsschreiben und Terminplanung bis hin zu Marketing und Serien-Mails. So sind sie perfekt auf den Einsatz von ChatGPT in der Praxis vorbereitet. Aus dem Inhalt: * Strategien für bessere Prompts * Prompting-Parameter: Zielgruppe, Tonfall, Schlüsselwörter und mehr * Kreativität der Ausgabe steuern mit Temperaturen * ChatGPT eine Rolle zuweisen * Interaktive Abfragen generieren * Kreatives schreiben mit KI: * Geschichten * Reden * Drehbücher * Blogbeiträge * Praxis-Prompts für Alltag und Familie: * Sprachen lernen * Reise- und Eventplanung * Rezepte * ChatGPT im Beruf: * Produktivität * E-Mails und Serienbriefe * Social Media und Marketing * Karriereplanung * Personalisierte Chatbots erstellen mit Custom GPTs Ulrich Engelke, Jahrgang 1963, hat das erste Staatsexamen in Germanistik und Anglistik sowie einen Magister mit Schwerpunkt Linguistik. Nach einem kurzen Ausflug in das Verlagswesen und selbstständiger Tätigkeit als Fachautor, hat er eine Internetagentur gegründet. Heute ist er als Unternehmensberater für Onlinemarketing mit Schwerpunkt SEO tätig. Sein besonderes Interesse gilt technischen Innovationen und deren ökonomischen wie gesellschaftlichen Auswirkungen.
KI-Prompts schreiben für Dummies
EINFACH UNMISSVERSTÄNDLICH MIT KI KOMMUNIZIERENKI bietet viele Einsatzmöglichkeiten und kann Sie bei Ihren Aufgaben unterstützen. Dafür müssen Sie lernen, präzise Prompts für KI-Systeme zu entwickeln. Die Autoren zeigen Ihnen, wie Sie Prompts formulieren, die effektive Ergebnisse liefern, und wie Sie diese Ergebnisse auswerten und verfeinern. Außerdem lernen Sie die führenden Plattformen, besten Chatbots und Kreativ-Tools für Ihre Bedürfnisse kennen. So sparen Sie Zeit beim Entwerfen von Websites, bei Bildbearbeitung und Recherche und verbessern die Interaktion mit Ihren Kunden. SIE ERFAHREN* Wie KI Prompts »versteht«* Wie Sie Text, Bilder, Audio, Video und Code generieren* Wie Sie Ihre Geschäftsprozesse oder Ihren Kundenservice verbessern* Welche Aufgaben KI auch in Zukunft nicht übernehmen kannSTEPHANIE DIAMOND ist Marketingexpertin und Autorin oder Mitautorin von mehr als zwei Dutzend Büchern. JEFFREY ALLAN ist Direktor des Instituts für verantwortungsvolle Technologie und künstliche Intelligenz (IRT) an der Nazareth University. Über die Autoren 9Einleitung 23TEIL I: GENERATIVE KI – ERSTE SCHRITTE 27Kapitel 1: Grundlagen der generativen KI 29Kapitel 2: Ausgaben der generativen KI 49Kapitel 3: Auf den wichtigsten KI-Plattformen navigieren 65TEIL II: DIE KUNST, DIE RICHTIGEN PROMPTS ZU SCHREIBEN 85Kapitel 4: Erfolgreiche KI-Prompts entwickeln und schreiben 87Kapitel 5: KI-Inhalte für Autoren und Marketingspezialisten 105Kapitel 6: Visuelle Erfahrungen mit KI für Designer 121Kapitel 7: Erweiterung des eigenen Portfolios mit KI für Kreative 135TEIL III: KI-GESTÜTZTE GESCHÄFTSSTRATEGIEN 147Kapitel 8: Personalisierung der Customer Journey mit KI 149Kapitel 9: Ihre Online-Geschäfte voranbringen mit KI 165Kapitel 10: Besserer Kundenservice mit KI-Chatbots 181TEIL IV: ZUKUNFTSSICHERHEIT FÜR IHRE KARRIERE 197Kapitel 11: Aufbau einer KI-gestützten persönlichen Marke 199Kapitel 12: Arbeitsplatzsicherheit in der Welt der KI 217TEIL V: VERANTWORTUNGSVOLLE NUTZUNG VON KI 235Kapitel 13: Ethische Aspekte einer verantwortungsvollen Nutzung von KI 237Kapitel 14: KI testen und verantwortungsvoll einsetzen 251TEIL VI: DER TOP-TEN-TEIL 265Kapitel 15: Zehn Fehler, die Sie beim Schreiben von KI-Prompts vermeiden sollten 267Kapitel 16: Zehn Anzeichen dafür, dass Sie KI in Ihre Arbeit einbinden sollten 273Kapitel 17: Zehn KI-Strategien zur Förderung des Geschäftserfolgs 279Abbildungsverzeichnis 283Stichwortverzeichnis 285
The Cybersecurity Trinity
This book explores three crucial topics for cybersecurity professionals: artificial intelligence (AI), automation, and active cyber defense (ACD). _The Cybersecurity Trinity_ will provide cybersecurity professionals with the necessary background to improve their defenses by harnessing the combined power of these three concepts. The book is divided into four sections, one addressing each underlying concept and the final section discussing integrating them to harness their full potential.With the expected growth of AI and machine learning (ML), cybersecurity professionals must understand its core concepts to defend AI and ML-based systems. Also, most cybersecurity tools now incorporate AI and ML. However, many cybersecurity professionals lack a fundamental understanding of AI and ML. The book's first section aims to demystify AI and ML for cybersecurity practitioners by exploring how AI and ML systems work, where they are vulnerable, and how to defend them.Next, we turn our attention to security automation. Human-centered cyber defense processes cannot keep pace with the threats targeting organizations. Security automation can help defenders drastically increase the speed of detection and response. This section will discuss core use cases that security teams can implement, including intelligence processing, incident triage, detection, and response. This section will end with strategies for a successful security automation implementation and strategies that can lead to failure.Accelerating the defense is but one side of the equation. Defenders can also implement ACD methods to disrupt and slow the attacker. Of course, ACD spans a broad spectrum, including some that could raise legal and ethical concerns. This section will explore some ACD methods and discuss their applicability, as well as the need to include business, legal, and ethical considerations when implementing them.Security teams often treat AI, automation, and ACD as disparate solutions, addressing specific problems. However, there is much overlap, and security teams must develop a cohesive approach to realize the full potential. The last section combines these three concepts to form a comprehensive strategy. The resulting strategy will have AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker.WHAT YOU WILL LEARN:* Understand the many uses of AI and ML and the concepts underpinning these technologies.* Learn how to protect AI and ML systems by recognizing the vulnerabilities throughout their lifecycle.* Integrate AI and ML-based systems to enhance cybersecurity.* Develop security automation processes to enhance situation awareness, speed the time to respond, and increase the bandwidth of the limited security operations staff.* Develop an ACD strategy to slow the attackers while minimizing legal and ethical concerns.* Design a comprehensive strategy with AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker.WHO THIS BOOK IS FOR:The primary audience is cybersecurity professionals looking to improve their organization's security posture by leveraging AI and ML-based security tools and combining them into a comprehensive strategy incorporating automation and ACD. This target audience will have a cybersecurity background and an interest in AI and ML.Higher education would be a secondary audience.Donnie Wendt is a distinguished cybersecurity professional with extensive expertise in researching security threats and pioneering innovative solutions. He has broad practical experience implementing numerous cybersecurity solutions and is an accomplished presenter on securing machine learning, generative AI, security automation, and deception. In addition to his professional experience, Donnie is an adjunct professor of cybersecurity at Utica University. He earned a Doctorate in Computer Science from Colorado Technical University and a Master's in Cybersecurity from Utica University. After over 30 years in information technology, Donnie wants to share his knowledge with others.The initial concept for the book arose from Donnie's doctoral dissertation, where he researched using security automation and deception to address both sides of the cyber defense equation. Over the past several years, AI has come to the forefront and is now used in many products, including cybersecurity solutions. Donnie realized that AI-powered solutions could provide the foundation to enhance his prior research. However, despite the prevalence of AI, many cybersecurity professionals do not understand its core concepts. Therefore, Donnie began his quest to educate colleagues on AI's power and associated risks.Chapter 1: AI is Everywhere.- Chapter 2: Overview of AI and ML.- Chapter 3: AI for Defense.- Chapter 4: ML in an Adversarial Environment.- Chapter 5: Combatting AI Threats.- Chapter 6: The Need for Speed – The Driving Forces of Security Automation.- Chapter 7: The OODA Loop.- Chapter 8: Common SOAR Use Cases.- Chapter 9: Strategies for Success (and Failure).- Chapter 10: Active Cyber Defense.- Chapter 11: The OODA Loop Revisited.- Chapter 12: Deception.- Chapter 13: The Cybersecurity Trinity.
Microsoft 365 Copilot At Work
LEARN TO LEVERAGE MICROSOFT'S NEW AI TOOL, COPILOT, FOR ENHANCED PRODUCTIVITY AT WORKIn Microsoft 365 Copilot At Work: Using AI to Get the Most from Your Business Data and Favorite Apps, a team of software and AI experts delivers a comprehensive guide to unlocking the full potential of Microsoft's groundbreaking AI tool, Copilot. Written for people new to AI, as well as experienced users, this book provides a hands-on roadmap for integrating Copilot into your daily workflow. You'll find the knowledge and strategies you need to maximize your team's productivity and drive success. The authors offer you a unique opportunity to gain a deep understanding of AI fundamentals, including machine learning, large language models, and generative AI versus summative AI. You'll also discover:* How Copilot utilizes AI technologies to provide real-time intelligent assistance and revolutionize the way you work with Microsoft 365 apps* Practical Implementation Strategies for project and change management, as well as practical guidance on rolling out Copilot within your organization* Specific use cases, including Outlook, Teams, Excel, PowerPoint, and OneNote, and how Copilot can streamline tasks and boost efficiency across various Microsoft applicationsTake your Copilot proficiency to the next level with advanced AI concepts, usage monitoring, and custom development techniques. Delve into Microsoft Framework Accelerator, Copilot plugins, semantic kernels, and custom plugin development, empowering you to tailor Copilot to your organization's unique needs and workflows. Get ready to revolutionize your productivity with Microsoft 365 Copilot! SANDAR VAN LAAN is a Senior Principal at Slalom within the Microsoft Modern Work and AI space, leading Copilot rollouts across multiple clients and demonstrating a deep understanding of AI and its practical applications in the enterprise environment. His strategic approach has been instrumental in guiding organizations through the adoption process, ensuring seamless integration and maximizing the benefits of AI technologies. JARED MATFESS serves as an AI Architect at AvePoint, bringing more than two decades of experience within the Microsoft ecosystem to his role. He has been honored with the Microsoft MVP award six times for the Office App & Services category and is actively engaged in sharing his expertise at various community events. Jared’s primary ambition is to assist organizations in their transformation by leveraging advanced technologies like AI. THOMAS FLOCK is a senior consultant at Slalom and specializes in data integrating using AI. His father was a senior engineer for MCI starting in 1983 when he was born, so Thomas has been around computers all his life. Thomas grew up in the Fairfax Virginia area and his first job was for Network Access Solutions in Herndon as a TCP/IP tester. ANN REID is a keen early adopter and experienced M365 Copilot implementation consultant with Slalom. With over 20 years of IT experience, she recognizes the transformative impact of M365 Copilot on organizations as well as challenges it presents. She shares some practical knowledge and strategies for building robust information protection capabilities and demystifies the process of prompt engineering for M365 Copilot. Introduction xxiPART I UNDERSTANDING AND USING COPILOT 1CHAPTER 1 INTRODUCTION TO ARTIFICIAL INTELLIGENCE 3The Importance of AI 4Foundations of AI 5Real-World Applications of AI 6Impact of AI on Various Industries 7Healthcare Industry 7Manufacturing Industry 8Finance Industry 9Case Studies of Successful AI Implementations 10Ethical Considerations 12Responsible Use of AI 13Future Ethical Considerations 14AI and Society 15Public Perception and Acceptance of AI 16The Future of AI 16Potential Advancements and Breakthroughs 16Preparing for an AI-driven Future 17Conclusion 18CHAPTER 2 INTRODUCTION TO MICROSOFT 365 COPILOT 19Microsoft 365 Copilot—Your Personal AI Assistant 19Differences from Other Chat-based AI Personal Assistants 21Fitting Microsoft 365 Copilot into a Day-to-day Routine 21Prompt Generation 24Fact-Checking 24Microsoft 365 Copilot Versus Clippy 24The Security of Microsoft 365 Copilot 25Conclusion 25CHAPTER 3 AN INTRODUCTION TO PROMPT ENGINEERING 27Introduction to Large Language Models 28Foundations of Prompt Engineering 29Concept of Prompt Engineering 29Three Prompt Mnemonics 30Refining Your Prompt 33Other Prompting Styles 34Prompt Validation Steps 36Copilot Lab 38Overview of Copilot Lab 38Bookmarking Your Favorite Prompts 40The Future of Prompt Engineering 40Conclusion 41CHAPTER 4 SECURITY/PURVIEW PLANNING IN PREPARATION FOR COPILOT 43Introduction to Information Protection 43Deploying M365 Copilot 44Building a Culture of Information Protection 44Identifying Weaknesses in Information Protection 45Conducting a Risk Assessment 46Review Your Security Foundations 48Zero Trust and Conditional Access 48Identity Access Management 49Dynamic Access Policies 50Data Classification and Sensitivity Labels 52Review Your Data Policies 53Data Loss Prevention Policies 54Data Retention Policy 54Data Encryption Policy 55Data Breach Policy 56Acceptable Use Policy 57Review Your Toolkit 58Microsoft Entra ID 59Microsoft Copilot Dashboard 60Public Web Content in M365 Copilot 61Microsoft Purview 62SharePoint Advanced Management 65AI-Powered Security Capability 66Get Your Pilot Started with These Initial Steps 67Conclusion 69CHAPTER 5 PLANNING YOUR MICROSOFT 365 COPILOT ROLLOUT 71Project Management 72Stakeholder Management 72The Project Team Pilot 73The “Equity” Risk 76The “Oversharing” Risk 77Technical Enablement 79Initial Provisioning Issues 80Governance 80Content Governance 81Copilot Acceptable Use Policy 82Microsoft 365 Copilot Operating Model Dependency 82Generative AI Steering Committee Best Practices 84Change Management 86The Power of Personas 88Building Your Change Champion Network 89Identifying Change Champions 89Mobilizing Change Champions 90Creating Onboarding Materials 90Copilot Lab 91Hosting Office Hours 92Success Measures 93Technical Extensibility 97Managing Microsoft 365 Copilot Extensibility Requests 97Building Your Copilot Center of Excellence 99Conclusion 100CHAPTER 6 MICROSOFT COPILOT BUSINESS CHAT 101Free Personal Versus Paid Corporate Versions 102Accessing the Free Version of Business Chat 102Accessing the Paid Version of Business Chat 104Working with Business Chat 108Pulling Data from the Internet 110Pulling Information from Internal Systems 112Copilot on Your Phone 113Privacy Concerns Using Business Chat 116Conclusion 117CHAPTER 7 MICROSOFT OUTLOOK 119Creating Communications with Microsoft 365 Copilot 120Drafting Your Prompt 120Tone and Length 121Refining Your Message 123Managing Escalations 124Microsoft 365 Copilot Coaching 124Summarizing Email Threads 125Email Summarization—Chat 127Calendar Information 129Conclusion 131CHAPTER 8 COPILOT IN MICROSOFT TEAMS 133Managing Project Communications 134Summarizing Chats and Channel Communications 134Creating Posts and Chats with Copilot 138Creating a post or chat with Copilot 138Tone and Length 141Copilot and Grammatical Issues 141Managing Project Meetings 141Using Copilot During a Live Meeting 142Using Copilot with a Past Meeting 143Copilot in Microsoft Teams Phone 144Data Privacy and Security 144Conclusion 146CHAPTER 9 COPILOT IN MICROSOFT EXCEL 147Getting Started with Copilot in Excel 147Identifying a Dataset 148Preparing Your Workbook 148Manipulating Excel Data 150Creating New Formulas 150Creating Charts 152Creating a PivotTable with Copilot 156Asking Questions About Your Data 157Copilot Suggested Prompts for Data Insights 159Additional Formatting 162Managing Sales Data with Copilot 165Conclusion 171CHAPTER 10 COPILOT IN MICROSOFT POWERPOINT 173Preparing Your PowerPoint Template for Copilot 174Initial Setup of an Organizational Assets Library 174PowerPoint Template Requirements 175Creating Your First PowerPoint Presentation with Copilot 176Improving the Prompt 177Improving the Content 179Generating New Content 182Navigating Microsoft PowerPoint with Copilot 184Creating a PowerPoint Presentation from a Microsoft Word Document 186Refining Your Presentation with Copilot 188Using Copilot to Get Feedback on a Presentation 189Using Copilot to Clarify a Presentation 190Using Copilot to Improve Engagement on a Presentation 191Conclusion 191CHAPTER 11 COPILOT IN MICROSOFT LOOP 193Loop Overview 193What’s in a Loop? 194Getting Started with Loop 195Loop Components within Teams 196Creating a Loop Workspace 197Inviting Others to Collaborate 198When to Use Loop 199Positioning Loop in Your Organization 200Use Cases for Loop 200Microsoft 365 Copilot in Loop 202Brainstorming with Copilot 204Unlocking Insights with Copilot 208Conclusion 210CHAPTER 12 TRANSFORMING TEXT WITH COPILOT IN MICROSOFT WORD 211Getting Started with Copilot in Word 212Using Reference Documents to Enhance Copilot Results 214Rewriting with Copilot 215Copilot’s Document Analysis Capability 218Conclusion 220PART II EXTENDING COPILOT 221CHAPTER 13 UNLOCKING REAL VALUE WITH COPILOT 223The Business Case for Copilot 223Executive Summary 225Background and Introduction 226Business Objectives 228Current Situation Analysis 229Solution Description 230Implementation Plan 231Cost-Benefit Analysis 231Evaluation and Measurement 233Presenting Your Business Case 234Measuring Business Value 234Copilot Adoption Dashboard Setup 234Accessing the Copilot Adoption Dashboard 235Copilot Adoption Dashboard “Advanced Features” 238Viva Pulse Surveys 238Mapping Business Processes: The Proposal Use Case 242Mapping Your RFP Response Process 243Aligning Tasks to Copilot Capabilities 243Building an Enterprise Prompt Library 244Reporting Your ROI 246Conclusion 248CHAPTER 14 INTRODUCTION TO MICROSOFT COPILOT STUDIO 249Who Should Use Copilot Studio? 250Customizing Existing Copilot vs. Creating a Stand-alone Copilot 250Getting Started with Microsoft Copilot Studio 252Navigating the Copilot Studio User Interface 252Building Your First Copilot 255Testing Your Copilot 259Publishing Your Copilot 260Creating a Copilot Plugin 264Testing Your Copilot Plugin 270Conclusion 272CHAPTER 15 CREATING A CUSTOM TEAMS COPILOT 273Extensibility Options 274Knowledge and Software Prerequisites 274An Understanding of the General Architecture of Plugins 275A Code Background 275A Microsoft Developer Account 276Node.js and npm 277Introduction to Node.js 277Installing Node.js 278Selecting the Correct Version of Node.js 279npm Configuration Tips 280Installing .NET 282A Configured Integrated Development Environment 283Installing and Setting Up VSCode IDE 284Downloading VSCode 284Essential Extensions for VSCode 285Customizing the IDE for Productivity 285Installing Azure AI Studio SDKs and Necessary Libraries 286Setting Up TypeScript for Azure AI Development 286Git 287Installing Git 287Initial Git Setup 288Building a Custom Teams Copilot 288Deploying a Custom Teams Copilot 300Introduction to Semantic Kernel 304Conclusion 305CHAPTER 16 COPILOT WAVE 2 FEATURES 307Bizchat, aka Copilot Chat 307Copilot Updates in Outlook 309Copilot Updates in PowerPoint 310Copilot Updates in Microsoft Teams 314Copilot Updates in Word 314Copilot Updates in Excel 315Copilot Updates in OneDrive 317Copilot Pages 319Copilot Agents 321Conclusion 323Index 325
Internet of Medicine for Smart Healthcare
This book provides in-depth explanations and discussions of the latest applications of Artificial Intelligence (AI), machine learning, and the Internet of Medicine, offering readers the cutting edge on this rapidly growing technology that has the potential to transform healthcare and improve patient outcomes. Over the past five years, there have been significant advances in healthcare through the use of artificial intelligence (AI) and machine learning (ML) technologies. AI and machine learning in medical imaging has significantly improved the accuracy and speed of medical imaging analysis, accelerated the drug discovery process by identifying potential drug targets and predicting the efficacy and safety of new drugs, and enabled personalized medicine by analyzing large amounts of patient data to identify individualized treatment plans based on a patient’s genetic makeup and medical history. Internet of Medicine (IoM) refers to the integration of the Internet of Things (IoT) and connected medical devices with healthcare systems and processes to enable remote monitoring, diagnosis, and treatment of patients. IoM is a subset of the larger Internet of Things concept, which involves the connection of everyday devices and appliances to the internet for various purposes. IoM has the potential to revolutionize healthcare by improving patient outcomes, reducing costs, and increasing efficiency. Some of the specific applications of IoM include remote patient monitoring, real-time data analysis, predictive analytics, smart hospitals, and personalized medicine. Abhishek Kumar, PhD, is an assistant director and associate professor in the Computer Science and Engineering Department in Chandigarh University, Punjab, India. He has over 13 years of academic experience with more than 100 publications in reputed, peer-reviewed national and international journals, books, and conferences. Additionally, he has also authored six books and edited 25 books that have been internationally published. He is also a member of various national and international professional societies in the field of engineering and research, including the Institute of Electrical and Electronics Engineers, International Association of Engineers, and Institute of Research Engineers and Doctors. Narayan Vyas is a principal research consultant at AVN Innovations, where he is actively involved in research and development in computer science and engineering. He qualified for the National Testing Agency’s University Grants Commission National Eligibility Test and Junior Research Fellowship on his first attempt, showcasing his academic excellence. He has published many articles in reputed, peer-reviewed national and international Scopus journals and conferences. Additionally, he has served as a keynote speaker and resource person for several workshops and webinars conducted in India. Pramod Singh Rathore is an assistant professor in the Department of Computer and Communication Engineering, Manipal University, Jaipur. With over 11 years of academic teaching experience, he has published more than 55 papers in reputable, peer-reviewed national and international journals, books, and conferences and co-authored and edited numerous books with well-known publishers. He serves on the editorial and advisory committees of the Global Journal Group and is a member of various national and international professional societies in the field of engineering and research, including the International Association of Engineers. Abhineet Anand, PhD, is the Director in the department of Advanced Information Technology-Computer Science and Engineering, Chandigarh University with over 22 years of experience. He has published more than 40 Scopus-indexed papers, 25 papers in international conferences, eight international journals, three national journals, and three national conferences. He has been part of 20 special sessions at various international conferences as a session chair/co-chair and contributed at 20 different conferences as a Technical Program Committee member. Pooja Dixit is visiting faculty in the Department of Computer Science and Engineering, Maharshi Dayanand Saraswati University, Ajmer, India with over eight years of experience. She has published many papers in reputable, peer-reviewed national and international journals, books, and conferences. Her research includes Artificial intelligence, Data Mining, Machine Learning, and Internet of Things. Preface xxiii 1 Omics Data Integration in AI System for Immediate and Carryover Effects of Neurodynamic Exercises on SLR Ranges Among Acute PIVD Patients 1Durga Bahuguna, Vaibhav Agarwal and Manish Kumar Jha 1.1 Introduction 2 1.2 Literature Review 3 1.3 Methodology 7 1.4 Hypothesis 8 1.5 Procedure 12 1.6 Intervention 13 1.7 Data Analysis 14 1.8 Result 14 1.9 Discussion 17 1.10 Conclusion 19 References 19 2 Effectiveness of Graph-Based Methods for Biological Networks for Primal Reflex Release Techniques on Pain and Disability in Cervicogenic Headache Patient 23Siddhartha Kuriyal, Manish Kumar Jha, Vaibhav Agarwal and Amit Sharma 2.1 Introduction 23 2.2 Literature Review 26 2.3 Methodology 30 2.4 Procedure 32 2.5 Conclusion 40 References 40 3 Application of AI in Determining Immediate and Carryover Effects of Primal Reflex Release Technique Neural Reboot on SI Joint Mobility 43Rakesh Chaudhary, Vaibhav Agarwal and Aashish Negi 3.1 Introduction 44 3.2 Literature Review 45 3.3 Methodology 49 3.4 Results 52 3.5 Conclusion 60 References 60 4 Future Trends in Bioinformatics AI Integration for Analyzing Immediate Effect of Primal Reflex Release Technique in Neck Pain and Stiffness Patients 65Aditya Sharma, Manish Kumar Jha, Vaibhav Agarwal and Amit Sharma 4.1 Introduction 66 4.2 Literature Review 70 4.3 Methodology 73 4.4 Conclusion 85 References 86 5 Evolutionary Computation in Bioinformatics Analyzing the Effects of Neurodynamic Exercises on Pain and Disability in Carpal Tunnel Syndrome Patients 89Manish Pathak, Vaibhav Agarwal and Manish Kumar Jha 5.1 Introduction 90 5.2 Literature Review 93 5.3 Methodology 95 5.4 Result and Discussion 101 5.5 Conclusion 107 References 108 6 Imperative Role of Artificial Intelligence and Nanotechnology in Healthcare Sector for Sustainable Development 111Sheela Bijlwan 6.1 Introduction 112 6.2 Literature Review 114 6.3 AI Applications in Healthcare Industries 115 6.4 Application of AI and Nanotechnology in Medicine 116 6.5 AI and Nanotechnology in Anti-Aging Medicines 117 6.6 Result 119 6.7 Discussion 119 6.8 Conclusion 122 References 122 7 Holistic Approaches for Sleep Pattern Enhancement Using AI and Yoga Therapy: A Comprehensive Scientific Approach 127Somlata Jha and Siddhant Rajhans 7.1 Introduction 127 7.2 Understanding Sleep Patterns 128 7.3 The Importance of Quality Sleep 128 7.4 The Role of AI in Sleep Pattern Enhancement 128 7.5 How AI Works to Enhance Sleep 129 7.6 How Yoga Influences Sleep 129 7.7 Combining AI and Yoga for Better Sleep 130 7.8 The Synergy of AI and Yoga 130 7.9 Scientific Research on Sleep Improvement 131 7.10 The Mind–Body Connection 131 7.11 A Holistic Approach to Sleep 132 7.12 Practicing Yoga for Better Sleep 133 7.13 AI-Enabled Sleep Tracking Devices 134 7.14 Personalized Sleep Plans 135 7.15 Lifestyle Factors and Sleep 135 7.16 Conclusion 136 References 137 8 Ethical Consideration in Bioinformatics in AI for Analyzing the Effects of Using SHAT Device on Upper Extremity Functions in Stroke Patients 139Kapil Lakhwara, Vaibhav Agarwal and Manish Kumar Jha 8.1 Introduction 140 8.2 SHAT Device (Synchronized Hand Arm Training Device) 141 8.3 How to Perform SHAT Exercises 141 8.4 Literature Review 143 8.5 Methodology 146 8.6 Protocol 147 8.7 Procedure 148 8.8 Results 149 8.9 Discussion 152 8.10 Conclusion 154 References 155 9 AI-Driven Drug Discovery and Repurposing for Analyzing Long-Term Effects of Nerve Sliders and Tensioners on Quality of Life in Cervicogenic Headache Patients 159Shashwat Pandya, Manish Kumar Jha, Vaibhav Agarwal and Amit Sharma 9.1 Introduction 160 9.2 Literature Review 163 9.3 Methodology 166 9.4 Protocol 168 9.5 Procedure 168 9.6 Discussion 174 9.7 Conclusion 176 References 177 10 Using Artificial Intelligence (AI) Analyzing Recent Advancements in the Anti-Cancerous Properties of Edible Mushrooms and Their Association with the Mode of Action of Polysaccharides 181Vishal Rajput, Manish Tenguria, Sanjay Gupta, Neha Sharma and Smriti Rai 10.1 Introduction 182 10.2 Polysaccharide Metabolism and Bioavailability 184 10.3 Conclusion 196 References 197 11 Impact of Artificial Intelligence (AI) in Bioremediation of Dairy Effluent by Microalgae and the Potential Application of the Produced Lipid Byproducts 201Nisha Dhillon, Vivek Kumar, Geeta Bhandari and Sanjay Gupta 11.1 Introduction 202 11.2 Microalgae 204 11.3 Lipid-Producing Microalgal Strains 204 11.4 Biosynthesis of Lipid in Microalgae 208 11.5 Applications of Microalgal Lipids 211 11.6 Challenges in the Field of Microalgal Biomass Productivity 217 11.7 Conclusion 218 References 219 12 Smart Collision Recognition and Reporting System with GPS and GSM Integration 223Gaurav Aggarwal, Pooja Joshi and Ashutosh Bhatt 12.1 Introduction 224 12.2 Literature Review 225 12.3 Block Diagram 226 12.4 Methodology 226 12.5 Conclusion 233 References 234 13 Evolution and Impact of Wearable Devices in Healthcare: Anatomy of Wearable Technology and its Influence on Medical Sciences 237M. P. Ambali and V. C. Patil 13.1 Introduction 238 13.2 Historical Development of Wearable Technology 242 13.3 Anatomy of Wearable Technology 244 13.4 Types of Wearable Devices in Healthcare 248 13.5 Applications of Wearable Technology in Medical Sciences 251 13.6 Impact of Wearable Technology on Healthcare 254 13.7 Future Trends and Innovations in Wearable Technology 258 13.8 Conclusion 259 References 260 14 Current State of Wearable Healthcare Technology: Physiology and Biochemistry of Wearable Sensors and Devices 263Jyotsna A. Patil and Shrirang N. Patil 14.1 Introduction 264 14.2 Physiological Monitoring 266 14.3 Biochemical Monitoring 269 14.4 Integration of Sensors and Devices 271 14.5 Applications in Healthcare 275 14.6 Advances in Data Analytics and Artificial Intelligence 277 14.7 Challenges and Future Directions 279 14.8 Conclusion 284 References 285 15 Real-Time Data Acquisition and Analysis Techniques: Microbiological and Immunological Aspects of Real-Time Health Data Collection 287Satish R. Patil and Supriya S. Patil 15.1 Introduction 288 15.2 Real-Time Microbiological Data Collection 292 15.3 Real-Time Immunological Data Collection 297 15.4 Technology and Tools for Real-Time Data Collection 302 15.5 Data Analysis Techniques 305 15.6 Case Studies and Applications 308 15.7 Future Directions and Challenges 311 15.8 Conclusion 313 References 314 16 Applications of Real-Time Data in Healthcare Interventions: Pharmacological Interventions Based on Real-Time Data Analytics 317V. M. Thorat and Satish V. Kakade 16.1 Introduction 318 16.2 Personalized Medicine 323 16.3 Treatment Efficacy 327 16.4 Proactive Interventions 332 16.5 Clinical Trials 334 16.6 Challenges and Future Directions 339 16.7 Conclusion 343 References 343 17 Strategies for Integrating Wearable Technology with Healthcare Systems: Pathological Considerations in Wearable Device Integration 347Sujata Raghunath Kanetkar and Vaishali V. Raje 17.1 Introduction 348 17.2 Pathological Considerations in Wearable Device Integration 352 17.3 Strategies for Effective Integration 357 17.4 Case Studies and Examples 362 17.5 Future Directions and Emerging Trends 366 17.6 Conclusion 370 References 371 18 Challenges and Solutions in Healthcare System Integration: Histological Perspectives on Wearable Device Integration Challenges 373Yugantara R. Kadam and Sujata Raghunath Kanetkar 18.1 Introduction 374 18.2 Challenges in Integrating Wearable Devices 377 18.3 Interoperability Challenges 381 18.4 Security and Privacy Concerns 383 18.5 Accuracy and Reliability of Data 387 18.6 Scalability and Sustainability 390 18.7 Solutions to Integration Challenges 395 18.8 Case Studies and Best Practices 398 18.9 Future Trends and Outlook 400 18.10 Conclusion 402 References 402 19 Role of Wearable Technology in Mental Health Monitoring and Management: Psychiatric Insights into Wearable Technology Adoption 405Sharad V. Kshirsagar and V. C. Patil 19.1 Introduction 406 19.2 Adoption of Wearable Technology in Mental Healthcare 410 19.3 Data Privacy and Security in Mental Healthcare 414 19.4 Potential Impact of Wearable Technology in Mental Healthcare 418 19.5 Case Studies and Examples 421 19.6 Future Directions and Challenges 424 19.7 Conclusion 425 References 426 20 Ethical Considerations in Mental Health Data Collection and Analysis: Ethical and Legal Aspects of Mental Health Data in Wearable Technology 429V. M. Thorat and M. P. Ambali 20.1 Introduction 430 20.2 Ethical Principles in Mental Health Data Collection and Analysis 433 20.3 Legal Frameworks for Mental Health Data in Wearable Technology 435 20.4 Informed Consent in Wearable Technology 436 20.5 Data Security and Privacy in Mental Health Wearables 438 20.6 Potential Misuse of Mental Health Data 441 20.7 Ensuring Equity in Access to Mental Health Wearables 442 20.8 Ethical Guidelines for Researchers and Practitioners 444 20.9 Conclusion 446 References 446 21 Ethical Challenges and Guidelines for AI Deployment in Healthcare: Urological and Gastroenterological Perspectives on Ethical AI Deployment 449Sujata Raghunath Kanetkar and V. M. Thorat 21.1 Introduction 450 21.2 Ethical Principles in AI Deployment 453 21.3 Challenges in AI Deployment in Urology and Gastroenterology 456 21.4 Guidelines for Ethical AI Deployment in Urology and Gastroenterology 458 21.5 Case Studies 463 21.6 Future Directions and Recommendations 465 21.7 Conclusion 466 References 467 22 Future Directions and Opportunities in AI-Driven Healthcare: Family Medicine and Anesthesiological Future Directions in AI-Driven Healthcare 469Vithal K. Dhulkhed and Shekhar M. Kumbhar 22.1 Introduction 470 22.2 AI Applications in Family Medicine 472 22.3 AI Applications in Anesthesiology 475 22.4 Current Challenges and Limitations 478 22.5 Future Directions and Opportunities 480 22.6 Case Studies and Examples 482 22.7 Conclusion 484 References 485 About the Editors 489 Index 493
AI and the Reinvention of Work
Artificial intelligence will fundamentally change our working world. We can already see what technology is capable of, but that is nothing compared to what we can expect in the future. Should we be afraid of these changes, or should we welcome them? Are we at the mercy of an unstoppable force? No, because, after all, we are the ones who have brought about this development. This book will help you evaluate your fears by putting the upcoming changes on a solid base. It shows where we have come from in order to understand where we are going to, or, in other words, where we should go in order to shape the future at our will. Using scenarios, Klaus Kornwachs examines the fields of work in which major AI-related changes can be expected and shows that major disruptions have already taken place in the past. You will find out what today’s developments mean and how to classify them without rushing to proclaim a new age. The book offers an outlook on possible future work environments. Work will probably consist of more creative, less routine-based activities. The current employer-employee relationship will change from working to rule to defining and completing tasks independently. This is not a prediction, but a spectrum of possibilities that could result from the technological developments. There is always more than one option. To find out what we want, it is worth looking at the meaning of work as part of human existence. There are many different views on this, all of which are presented in the book. After reading this book, some of the current discussions about the impact of AI on the working world will appear exaggerated to you. You will gain a better understanding of the limits of AI as well as our own limits. You will also be able to decide where AI can overcome those limits and where we need to set limits for ourselves.
Praxishandbuch KI-VO
• Detaillierter Überblick über die KI-Verordnung • Auswirkung der Verordnung auf verschiedene Bereiche (u. a. Finanzen, Arbeitsrecht, Werbung und Verwaltung) • Verwandte Rechtsgebiete (Datenschutz-, IP- und IT-Recht) • Praxisüberblick über KI Governance, Risk und Compliance in Unternehmen • Informationen zu Standards, Normen und Zertifizierungen Von Expertinnen für Praktiker:innen – mit diesem Handbuch bereiten Sie sich praxisnah und rechtskonform auf die Anforderungen der europäischen KI-Verordnung vor. Informieren Sie sich umfassend über die Auswirkungen auf die verschiedenen Anwendungsbereiche künstlicher Intelligenz im privaten und öffentlichen Sektor. Nach einer kurzen Einführung in die Geschichte und Technik von KI erhalten Sie eine detaillierte Einordnung der Inhalte der KI-Verordnung anhand der verschiedenen Risikoklassen. Anschließend werden mit dem Einsatz von KI eng verbundene Rechtsgebiete, insbesondere Datenschutz-, IP- und IT-Recht, eingehend behandelt. Anhand von Fallbeispielen erfahren Sie, welche Auswirkungen die KI-VO auf verschiedene Bereiche wie autonomes Fahren, Arbeit, kritische Infrastruktur, Medizin, Versicherung etc. hat. Dabei wird auch die Wechselwirkung mit den für diese Bereiche relevanten Rechtsgebieten berücksichtigt. Ein Praxisüberblick über das Thema KI Governance, Risk und Compliance (GRC) in Unternehmen, Tipps zur Anwendung von Richtlinien und Governance-Rahmenwerken, Umsetzungsideen für eine vertrauenswürdige KI sowie Standards, Normen und Zertifizierungen runden das Werk ab. Das AUTORINNENTEAM besteht aus Juristinnen, die auf IT-und Datenschutzrecht und den Einsatz von KI spezialisiert sind. Darunter sind u. a. eine der Vertreter:innen Österreichs bei den KI-Gesetzesverhandlungen auf EU-Ratsebene und die Gründerin der österreichischen Sektion von Women in AI. AUS DEM INHALT // • Was ist KI und wie unterscheiden sich Datenwissenschaft und Datenanalytik? • Geopolitik der künstlichen Intelligenz • KI-VO: Rechte und Pflichten • Datenschutz • Geistiges Eigentum • KI und IT-Vertragsrecht • Privater Sektor • Öffentlicher Sektor • Ethik • Governance im Unternehmen
Prozesse mit BPMN managen und gestalten
Lernerfolg garantiert!Mit BPMN (Business Process Model and Notation) werden Prozesse modelliert und einheitlich grafisch dargestellt. BPMN bildet die Basis jeglicher Prozessoptimierung und verknüpft die Anforderungen von Management und IT.Dieses Praktikerwerk besteht aus zwei Teilen: einem Lexikon und einem Aufgabenteil mit Lösungen.Im Lexikonteil werden alle wesentlichen Begriffe rund um BPMN praxisorientiert erläutert und mit vielen Beispielen veranschaulicht. Alle relevanten Fragen rund um das Managen und Modellieren der Prozesse werden dabei beantwortet: Worauf kommt es an? Was sind die Ziele? Warum sind Regeln wichtig und welche bieten sich an? Oder was ist beispielsweise bei der Prozessanalyse, Hierarchisierung oder beim Stil zu beachten?Beim Aufgaben- und Lösungsteil geht es um die konkrete Umsetzung. Hier kommen Sie direkt ins Tun. Die Aufgaben umfassen von Analysen, grafischen Darstellungen bis hin zur Dokumentation Problemstellungen, die genau so auch in der Praxis vorkommen. Anhand des praktischen Lösungsteils ist dabei jederzeit eine Selbsteinschätzung möglich und der Lernerfolg garantiert.- Wissen, worauf es bei BPMN ankommt- Prozesse managen und modellieren- Einfach, anschaulich und konsequent praxisorientiert Dipl. Ing. Klemens Hauk studierte Elektrotechnik und Nachrichtentechnik an der RWTH Aachen. Er ist freiberuflicher IT-Projektleiter (ERP/SAP), IT-Manager in der Industrie (Prozesse & Anwendungsentwicklung), Dozent und Lehrbeauftragter für IT, Projektmanagement, Prozessmodellierung und SAP.
AI for Utilities
This transformative book explores the power of artificial intelligence (AI) in revolutionizing the utilities industry. It covers crucial topics such as intelligent grids, decentralized energy resources, customer engagement, electric vehicle integration, and more, providing a comprehensive and practical guide to successfully navigate the energy transition.In today's world, the urgency of addressing climate change and transitioning to sustainable energy systems is undeniable. With approximately 60 percent of global greenhouse gas emissions attributed to the energy sector, utilities play a vital role in achieving sustainability goals. The traditional utility business model faces disruption from renewable energy, changing consumer expectations, and regulatory shifts. Embracing AI emerges as a key solution to optimize operations, enhance grid reliability, and meet evolving customer demands.Through compelling case studies and industry-specific use cases, you will discover how AI drives innovation, improves operational efficiency, and contributes to a greener and more sustainable world. As the demand for cleaner and more sustainable energy practices grows, this book demonstrates how AI can support utilities in meeting these demands, making them more resilient, agile, and customer-centric.Whether you're a seasoned industry expert or a curious student, this book equips you with the knowledge and insights to embrace sustainability, navigate the complex energy landscape, leverage AI to shape a positive future, and join the movement towards a greener world, empowered by AI's potential in the utilities industry.WHAT YOU WILL LEARN* Understand the challenges and opportunities for utilities in the context of climate change, energy poverty, and the evolving business landscape* Discover how rapid transformation is needed in the utilities sector to overcome challenges and leverage opportunities for a sustainable future* Gain insight into the role of technology, particularly artificial intelligence (AI), as a critical tool for utilities in their transformation journey* Be aware of how AI can be applied in building the future utility industry, including its potential impact on energy efficiency, intelligent energy ecosystems, community engagement, and new business models* Gain knowledge of the adoption of AI and machine learning technologies in the utility industry, including the current state, barriers, significant influencing factors, and an AI adoption maturity model for utilities* Recognize the sustainability imperative for utilities and how AI can help in achieving sustainable energy practices* Become familiar with the transformation of power generation, microgrids, intelligent transmission and distribution systems, utilities retail, mobility through electric vehicles, and the integration of distributed energy resources(DER) using AI* Gain insight into the potential of AI in addressing challenges and driving innovation in the energy ecosystem, such as optimizing power generation assets, enhancing grid intelligence, improving customer service, and enabling clean energy awareness in the metaverseWHO THIS BOOK IS FORProfessionals and decision makers in the global utilities industry who want to leverage artificial intelligence (AI) technologies to transform their operations and address challenges and opportunities in the energy sector. This book may also appeal to researchers, academics, and students in the fields of energy engineering, environmental science, data analytics, and AI who want to gain a deeper understanding of AI in the utilities sector and its implications for sustainable energy systems.DR. DEBHASHISH ROY has emerged as a luminary in the realm of Technology Innovation Leadership, particularly within the Utilities industry, boasting nearly 15 years of distinguished service. His tenure is marked by a profound commitment to harnessing the potential of Digital, Cloud, AI/ML, and Analytics to catalyze significant business transformations for Fortune 500 organizations. As a Technology Leader within the Technology Advisory and Client Delivery sector of a premier Fortune 500 company since 2010, Dr. Roy has made indelible strides in the Utilities sector, demonstrating an unmatched prowess in addressing complex industry challenges and championing innovation.His tenure includes the development and implementation of pioneering solutions in AI, Machine Learning, and Cloud technologies, which have been instrumental in propelling business visions and enhancing operational efficiencies. Dr. Roy's dedication to AI for sustainable development is particularly noteworthy, emphasized by his doctoral research and the development of over 10 AI-powered patents. This commitment positions him as a respected thought leader in the field.This book encapsulates Dr. Roy's journey of transformative leadership and his unwavering commitment to advancing sustainable, AI-driven solutions within the Utilities sector, setting a benchmark for innovation and excellence.Chapter 1: AI for Utilities.- Chapter 2: Utilities of the Future.- Chapter 3: Utilities Building Digital DNA.- Chapter 4: AI Adoption in Utilities.- Chapter 5: Sustainability Imperative for Utilities.- Chapter 6: Generating Power in the New Low Carbon Economy.- Chapter 7: Microgrid - Macro Impact.- Chapter 8: Intelligent Transmission and Distribution.- Chapter 9: Utilities Retail Reimagined.- Chapter 10: Transforming Mobility Through EV.- Chapter 11: Age of DER.- Chapter 12: Utilities in the Metaverse.
How to Launch a Token
Take a deep dive into the intricacies of launching and successfully managing a cryptocurrency token. This book is an indispensable resource, providing invaluable insights and practical advice.Spanning 12 chapters, the book begins with the fundamentals, explaining the different types of tokens and the core concepts of crypto projects, guiding readers through the critical decision-making process about the necessity and role of a token in their venture. As the narrative progresses, you are taken on a journey through the lifecycle of a crypto project. It emphasizes the importance of a well-thought-out roadmap, a compelling pitch deck, and the crucial process of assembling a skilled team.Diving deeper, the book explores the complex world of tokenomics, reviewing the various economic models behind tokens and how to tailor them to specific projects. A key aspect of this guide is its focus on go-to-market strategies, including targeting the right audience, effective marketing techniques, and the vital role of community building. Additionally, it addresses the essentials of fundraising in the crypto space, highlighting the types of investors to approach and strategies for engaging them effectively.Security and stability are paramount in the crypto world. The book provides a detailed analysis of the storage and custody of funds, comparing centralized and decentralized mechanisms and emphasizing the importance of robust security measures. This is crucial for ensuring liquidity and accessibility of the token in the market. The guide culminates with a focus on the launch day, detailing the preparation, organization, and key considerations to ensure a successful token launch. When done you’ll be well-equipped to navigate the complex and exciting world of cryptocurrency token launches.WHAT YOU’LL LEARN* Develop a successful launch strategy for a token.* Prepare the decks and documents for a successful token campaign.* Discover negotiation tactics required to reduce fees for all your counterparts.* Explore techniques required to maintain the health and popularity of your token.WHO THIS BOOK IS FORThose considering launching a token, companies looking to tokenize assets, accelerators and incubators, advisors and blockchain teachers/professors, and crypto firms as part of their onboarding material.Alexander T. Rees-Evans recently moved into the world of crypto, initially collaborating with the luxury asset trading platform, Idoneus. Since then, he has headed up large sales teams in a centralized exchange, private placement platforms and was the international sales director at Kaizen Finance where over 40 projects were built and launched. Rees-Evans is currently a senior advisor at DVerse, a multi-award winning Web3 consultancy firm working with some of the largest companies in this space such as Algorand, Farcana, AnimocaBrands and Assassin’s creed. He also presides over the blockchain and cybernetic commission of the World Business Union, is a mentor at Techstars, Blockstart, AVio and GeniusX, and an accredited partner of the BTCSafezone, the most secure platform for exchanging Bitcoin and USDT.Chapter 1: Introduction to launching a token.- Chapter 2: Project structure.- Chapter 3: Tokenomics.- Chapter 4: Market Cycles.- Chapter 5: Go to market strategies.- Chapter 6: Mandatory stages of your product.- Chapter 7: Raising funds.- Chapter 8: Storage and custody of funds.- Chapter 9: Market making.- Chapter 10: DEXs and CEXs.- Chapter 11: How to prepare for your launch day.- Chapter 12: Token health, longevity and final words.
Mastering VMware Cloud Disaster Recovery and Ransomware Resilience
Examine the complexities of detecting ransomware and the potential rocky road to recover after it has infected a system environment. This book addresses the topic of Disaster and Ransomware Recovery in the VMware Cloud.You’ll start by examining the challenge of implementing a robust disaster recovery solution, and how to address it through a Disaster Recovery-as-a-service (DRaaS) approach. The book then introduces the basics of the VMware Live Cyber Recovery solution and how it is fully integrated with VMware Cloud on AWS to offer an easy-to-use SaaS-based solution with a pay-as-you-go model for a faster recovery at a very low TCO. It also provides a technical deep dive into VMware Live Cyber Recovery architecture by detailing the features and capabilities of the solution including the concepts of Protected Sites, Protection Groups, Disaster Recovery Plans, and Failover testing.In subsequent chapters, you’ll review in depth the Ransomware recovery case where you will learn more on the impact of Ransomware on IT organizations and how to address ransomware recovery. Finally, you’ll take a deep dive into the technical architecture and features of the VMware Live Cyber Recovery Ransomware recovery capabilities, and how it can address ransomware threats with a very flexible, on-demand and easy-to-use SaaS delivery model with cloud economics. _Mastering VMware Cloud Disaster Recovery and Ransomware Resilience_ provides you with the best practices on how to recover from ransomware.WHAT YOU’LL LEARN* Review the different concepts of VMware Live Cyber Recovery* Understand the complexity of ransomware attacks and how it can impact your business.* Recover data after a ransomware attack* Implement a ransomware recovery solution.WHO THIS BOOK IS FORIT managers, IT architects, Cloud architects, network engineers, security officers, backup administrators, and infrastructure managersCHRISTOPHE LOMBARD is an IT Architect with 26 years of experience in designing and delivering complex solutions in both consultative and technical leadership with a specific focus on Cloud and IT Transformation. He has worked within large organizations like NEC, CSC, EMC, DELL, and more recently in a startup called Cloudreach. He has helped dozens of IT professionals and organizations achieve their business objectives through business and consultative engagements. During his career, he has served as a Network engineer, project manager, consultant and cloud architect.He started developing his knowledge in VMware in 2005 and his cloud expertise in 2015. He is passionate about the development of innovation in companies using new technologies: cloud, IaaS, infrastructure as code, microservices, and big data. His two areas of expertise opened a door for him at VMware in 2020 during the pandemic.As a Lead Cloud Solution Architect, Christophe helpsdrive VMware Cloud on AWS and VMware Cloud Disaster Recovery products adoption with key customers. He loves to learn, to enable and to educate people including customers, partners, and colleagues on all the cloud technologies he is focused on.Christophe holds an AWS Certified Solution Architect - Associate certification and has following VMware certifications: VMware Cloud (VCP-VMC) 2022, VCP & VCAP DCV, VCP & VCAP - Design NV 2021, and is vExpert 2021/2022/2023. Christophe also promotes and shares his knowledge on VMware technology and cloud solutions on his blog: vminded.com.In his spare time, he enjoys working on his creative pursuits such as photography. Find Christophe at linkedin.com/in/lombardchristopheChapter 1: Introduction-Disaster Recovery Context.- Chapter 2: Understanding VMware Live Cyber Recovery.- Chapter 3: Ransomware Threat and Recovery Strategies.
PostgreSQL Skills Development on Cloud
This book provides a comprehensive approach to manage PostgreSQL cluster databases on Amazon Web Services and Azure Web Services on the cloud, as well as in Docker and container environments on a Red Hat operating system. Furthermore, detailed references for managing PostgreSQL on both Windows and Mac are provided. This book condenses all the fundamental and essential concepts you need to manage a PostgreSQL cluster into a one-stop guide that is perfect for newcomers to Postgres database administration. Each chapter of the book provides historical context and documents version changes of the PostgreSQL cluster, elucidates practical "how-to" methods, and includes illustrations and key word definitions, practices for application, a summary of key learnings, and questions to reinforce understanding. The book also outlines a clear study objective with a weekly learning schedule and hundreds of practice exercises, along with questions and answers. With its comprehensive and practical approach, this book will help you gain the confidence to manage all aspects of a PostgreSQL cluster in critical production environments so you can better support your organization's database infrastructure on the cloud and in containers. What You Will Learn * Install and configure Postgres clusters on the cloud and in containers, monitor database logs, start and stop databases, troubleshoot, tune performance, backup and recover, and integrate with Amazon S3 and Azure Data Blob * Manage Postgres databases on Amazon Web Services and Azure Web Services on the cloud, as well as in Docker and container environments on a Red Hat operating system * Access sample references to scripting solutions and database management tools for working with Postgres, Redshift (based on Postgres 8.2), and Docker * Create Amazon Machine Images (AMI) and Azure Images for managing a fleet of Postgres clusters on the cloud * Reinforce knowledge with a weekly learning schedule and hundreds of practice exercises, along with questions and answers * Progress from simple concepts, such as how to choose the correct instance type, to creating complex machine images * Gain access to an Amazon AMI with a DBA admin tool, allowing you to learn Postgres, Redshift, and Docker in a cloud environment * Refer to a comprehensive summary of documentations of Postgres, Amazon Web services, Azure Web services, and Red Hat Linux for managing all aspects of Postgres cluster management on the cloud Who This Book Is For Newcomers to PostgreSQL database administration and cross-platform support DBAs looking to master PostgreSQL on the cloud. 1. Introduction to PostgreSQL Database Management.- 2. Capacity Planning.- 3. Amazon EC2/Azure VM Linux Install Tasks.- 4. PostgreSQL Software Installation on Amazon EC2/Azure VM Linux.- 5. Client Tools.- 6. PostgreSQL on AWS RDS/Azure SQL Database.- 7. PostgreSQL on Docker.- 8. Postgres Cluster and Database Backup.- 9. PostgreSQL on Windows Server in Cloud.- 10. PostgreSQL Post Installation Tasks.- 11. Sequences.- 12. Postgres Cluster Upgrade.- 13. PostgresSQL Recovery.- 14. PostgresSQL High Availability.- 15. Table Partition.- 16. Postgres Tablespaces.- 17. Multi-Version Concurrency Control (MVCC).- 18.- Projects.
Full Stack Development with Microsoft Blazor
Become a full-stack web developer using the Microsoft Blazor framework and the techniques shown in this book. This new edition will have you building all kinds of applications in C# and Microsoft .NET 8, from static web sites to fully interactive single page applications, and desktop and mobile applications, in no time. At it's core, this book teaches you to build user interfaces and present data to a user for display and modification, capturing the user’s changes via data binding. The book shows you how to access a rich library of .NET functionality such as a component modeling for building composable user interfaces—including developing reusable components that can be used across many pages and websites. New for this edition, the book now covers server communication using SignalR and/or gRPC, the use of virtualization to load large quantities of data efficiently, deployment and ahead-of-time compilation into WASM, new unit testing features, security using OpenID Connect, and more features added in Blazor in .NET 8. At it's core, Blazor provides a fresh take on web development by eliminating the need to learn different languages and frameworks for client- and server-side development. It also allows C# and .NET to be used on all sides—both server-side and client-side—providing a robust feature set that is well suited toward scalable, enterprise-level applications. With Blazor you can use all your experience in .NET 8 along with thousands of existing libraries, right in the browser. This book gets you proficient using this important toolkit for web application development. What You Will Learn * Build user interfaces and display data for users to edit * Capture user edits and changes via data binding * Transfer data back and forth between server and client * Communicate with services using REST, SignalR, or gRPC * Develop reusable components and assemble them into bigger components * Use routing to build single-page applications (SPAs) * Build stable and maintainable software using unit testing * Internationalize your application to reach more users * Secure your Blazor application with OpenID Connect * Build static interactive pages web pages optimized for SEO * Use the same components to build mobile and desktop applications Become a full-stack web developer using the Microsoft Blazor framework and the techniques shown in this book. This new edition will have you building all kinds of applications in C# and Microsoft .NET 8, from static web sites to fully interactive single page applications, and desktop and mobile applications, in no time. At it's core, this book teaches you to build user interfaces and present data to a user for display and modification, capturing the user’s changes via data binding. The book shows you how to access a rich library of .NET functionality such as a component modeling for building composable user interfaces—including developing reusable components that can be used across many pages and websites. New for this edition, the book now covers server communication using SignalR and/or gRPC, the use of virtualization to load large quantities of data efficiently, deployment and ahead-of-time compilation into WASM, new unit testing features, security using OpenID Connect, and more features added in Blazor in .NET 8. At it's core, Blazor provides a fresh take on web development by eliminating the need to learn different languages and frameworks for client- and server-side development. It also allows C# and .NET to be used on all sides—both server-side and client-side—providing a robust feature set that is well suited toward scalable, enterprise-level applications. With Blazor you can use all your experience in .NET 8 along with thousands of existing libraries, right in the browser. This book gets you proficient using this important toolkit for web application development. What You Will Learn * Build user interfaces and display data for users to edit * Capture user edits and changes via data binding * Transfer data back and forth between server and client * Communicate with services using REST, SignalR, or gRPC * Develop reusable components and assemble them into bigger components * Use routing to build single-page applications (SPAs) * Build stable and maintainable software using unit testing * Internationalize your application to reach more users * Secure your Blazor application with OpenID Connect * Build static interactive pages web pages optimized for SEO * Use the same components to build mobile and desktop applications Who This Book is For Experienced .NET developers who want to apply their existing skills toward building professional-quality and server- or client-side web applications that run in any browser; also for web developers who want to step away from JavaScript and its complexities, and instead apply a proven technology (C# and .NET8) that is robust toward creating enterprise-quality applications that scale and are reliable and provide a good user experience Peter Himschoot works as a lead trainer, architect, and strategist at U2U. He has a wide interest in software development that includes applications for the web, Windows, and mobile devices. He has trained thousands of developers, is a regular speaker at international conferences, and has been involved in many web and mobile development projects as a software architect. He has been a Microsoft Regional Director (from 2003 to 2019) tasked with advising developer and IT professional audiences, as well as Microsoft. Chapter 1. Introduction to Full Stack Development with Blazor.-Chapter 2. Blazor Components.-Chapter 3. Data Binding.- Chapter 4. Blazor Forms and Validation.- Chapter 5. Advanced Components.-Chapter 6. Built-In Components.-Chapter 7. Component Libraries.-Chapter 8. Application Rendering Modes.-Chapter 9. Services and Dependency Injection.-Chapter 10. Data Storage.-Chapter 11. REST Communication.-Chapter 12. Single Page Applications and Routing.-Chapter 13. JavaScript Interoperability .- Chapter 14. Blazor State Management.- Chapter 15. Unit Testing Components with bUnit.- Chapter 16. Building Real-Time Applications with Blazor and SignalR.-Chapter 17. Efficient Communication with gRPC.- Chapter 18. Supporting Multiple Languages in your Blazor Application.- Chapter 19. Deploying Your Blazor Application.- Chapter 20. Blazor Hybrid Applications.- Chapter 21. Security with OpenID Connect.- Chapter 22. Securing Blazor.