Computer und IT
CompTIA Data+ Study Guide
Your comprehensive guide to preparing for the CompTIA® Data+® exam The CompTIA®Data+®Study Guide, Second Edition is your one-stop resource for complete coverage of the newly updated DA0-002 exam. This Sybex Study Guide covers all of the DA0-002 domain competencies. Prepare for the exam faster and smarter with Sybex thanks to authoritative content including, assessment tests that validate and measure exam readiness, objective maps, real-world examples and scenarios, practical exercises, and chapter review questions. Reinforce and remember what you’ve learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get prepared for the CompTIA® Data+ exam with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you’ll be ready for: Data Concepts and EnvironmentsData Acquisition and PreparationData AnalysisVisualization and ReportingData Governance ABOUT THE COMPTIA® DATA+® CERTIFICATION The CompTIA® Data+® certification validates skills required to translate business requirements in support of data-driven decisions by acquiring, preparing, and transforming data; using industry-standard tools and emerging technologies to create appropriate reports and visualizations; and applying basic statistical methods to analyze complex data sets while adhering to governance and quality standards throughout the entire data life cycle. Interactive learning environment Take your exam prep to the next level with Sybex’s superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/ go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: Interactive test bank with 2 practice exams to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you’re ready to take the certification exam.100 electronic flashcards to reinforce learning and last-minute prep before the exam.Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared. Prepare for the CompTIA Data+ exam, as well as a new career in data science, with this effective study guide In the newly revised second edition of CompTIA Data+ Study Guide: Exam DA0-002, veteran IT professionals Mike Chapple and Sharif Nijim provide a powerful, one-stop resource for anyone planning to pursue the CompTIA Data+ certification and go on to an exciting new career in data science. The authors walk you through the info you need to succeed on the exam and in your first day at a data science-focused job. Complete with two online practice tests, this book comprehensively covers every objective tested by the updated DA0-002 exam, including databases and data acquisition, data quality, data analysis and statistics, data visualization, and data governance. You'll also find: Efficient and comprehensive content, helping you get up-to-speed as quickly as possibleBite-size chapters that break down essential topics into manageable and accessible lessonsComplimentary access to Sybex' famous online learning environment, with practice questions, a complete glossary of common industry terminology, hundreds of flashcards, and more A practical and hands-on pathway to the CompTIA Data+ certification, as well as a new career in data science, the CompTIA Data+ Study Guide, Second Edition, offers the foundational knowledge, skills, and abilities you need to get started in an exciting and rewarding new career. ABOUT THE AUTHORS Mike Chapple, PhD, is Teaching Professor of IT, Analytics, and Operations at the University of Notre Dame. He’s a technology professional and educator with over 20 years of experience. Mike provides certification resources at his website, CertMike.com. Sharif Nijim is an Associate Teaching Professor of IT, Analytics, and Operations at Notre Dame’s Mendoza College of Business, where he also serves as the Academic Co-Director of the Master of Science in Business Analytics program.
Navigating Your Career in ServiceNow: From First Steps to Strategic Growth
“Navigating Your Career in ServiceNow: From First Steps to Strategic Growth” offers a clear and actionable roadmap for anyone looking to enter or advance in one of today’s fastest-growing enterprise platforms. Whether you're just starting out or transitioning from another field, this book helps you understand the ServiceNow platform, choose your career path, and become job-ready with the right skills, certifications, and learning strategies. It goes beyond technical preparation to help you stand out in the job market. You’ll also discover how to grow beyond your first role, build a versatile skill stack, and stay relevant in a constantly evolving tech landscape. With insights on freelancing, personal branding, and long-term career planning, this book is a practical companion for every stage of your ServiceNow journey-from your first login to your future as a trusted expert in the field. You Will: Obtain a comprehensive overview of the ServiceNow ecosystem and the wide range of career opportunities it offers.Receive actionable guidance for navigating the emotional and professional challenges of career growth-including overcoming imposter syndrome, managing burnout, and pushing through plateaus.Attain guidance on handling real-world career challenges like imposter syndrome, burnout, and plateaus. This book is for: Professionals and individuals who are new to ServiceNow, seeking structured guidance on entering the field. Chapter 1: Exploring the ServiceNow Ecosystem.- Chapter 2: Mapping the Career Landscape in ServiceNow.- Chapter 3: From Zero to Job-Ready: Skills, Learning Paths, and Certifications.- Chapter 4: From Ready to Hired: Turning Skills into Career Opportunities.- Chapter 5: Growing Beyond the First Job: Cross-Skilling and Career Mobility.- Chapter 6: Strategic Independence: Navigating Freelance and Future Proof Growth in ServiceNow.
Sustainable Operations of Logistics and Supply Chain Management
This essential guide provides a comprehensive overview of how to leverage cutting-edge technology and circular economy principles to create resilient, profitable, and sustainable supply chains in an era of unprecedented environmental and technological change. In an age defined by technological breakthroughs and environmental challenges, this book delves into the transformative intersection of sustainability, logistics, and supply chain management. It offers a comprehensive exploration of how cutting-edge technologies like artificial intelligence, machine learning, and big data analytics are revolutionizing logistics operations. By optimizing routes, reducing emissions, and enhancing resource utilization, these tools empower businesses to embrace smarter, greener practices that align with today’s sustainability goals. Beyond technology, the book addresses critical challenges, such as navigating the complexities of implementing sustainable solutions, overcoming operational resistance, and ensuring economic viability. It offers actionable strategies to foster resilience in supply chains, especially in the face of global disruptions such as pandemics and disruption to global trade. With a strong focus on circular economy principles, it provides practical frameworks for integrating reuse, recycling, and efficient waste management into supply chains, all while balancing environmental consciousness with economic imperatives. Rich in insights and real-world applications, this book is an essential resource for supply chain professionals, sustainability advocates, policymakers, and researchers. Whether you’re looking to innovate your operations, enhance resilience, or contribute to a sustainable future, this book equips you with the knowledge and tools to lead the way in modern logistics. Readers will find the book: Offers a comprehensive analysis of how sustainability, artificial intelligence, and the circular economy are reshaping modern logistics and supply chain management; Provides actionable strategies to overcome challenges such as high implementation costs and operational resistance in adopting green logistics practices; Explores resilience strategies to mitigate supply chain vulnerabilities exposed by global disruptions, including pandemics; Highlights cutting-edge applications of AI, big data, and machine learning to optimize logistics operations for efficiency and reduced environmental impact; Delivers practical insights into integrating circular economy principles and fostering collaboration between industry, policymakers, and researchers. Audience Academics, researchers, supply chain and logistics professionals, sustainability advocates, technology specialists, and policymakers focused on sustainability and efficiency in the supply chain. K. Mathiyazhagan, PhD is a professor at the Thigarajar School of Management, Madurai, India. He is an associate editor for several journals and has over 7000 citations to his credit. His research interests include green and sustainable supply chain management, multi-criteria decision making, sustainable lean manufacturing, public distribution systems, and lean six sigma. Krishna Kumar Dadsena, PhD is an assistant professor at the Indian Institute of Management, Ranchi. He has over ten publications in international journals and conferences. His current research areas are sustainable transportation management, digital supply chain, risk management, and the circular economy. Rajesh Kumar Singh, PhD is a professor at the Management Development Institute in Gurgaon, India. He has over 250 publications in reputed international journals and conferences, as well as book chapters. His areas of interest include operations management, supply chain management, lean and agile systems, and operations strategy. Aakanksha Kishore, PhD is an assistant professor of Operations Management at the Foundation for Organizational Research and Education’s School of Management, New Delhi, India. She has over ten articles in international research publications. Her research focuses on inventory management, imperfect items, supply chain management, and business statistics. Andrea Appolloni, PhD is an Associate Professor of Operations Management and Sustainability at Tor Vergata University, Rome, Italy. He has published and presented articles in several international journals and conferences and coordinates several national and international research programs. His teaching areas focus on operations, supply chain management, and sustainability.
Fit fürs Studium - Elektrotechnik
Das Studium der Elektrotechnik hält so manche Herausforderung bereit, und zwar von Beginn an. Bereiten Sie sich gezielt vor: Mit diesem Buch spüren Sie Wissenslücken aus dem »Schulstoff« auf und schließen sie auch gleich. Uwe Post klärt wichtige Grundkonzepte anschaulich und verständlich. Nutzen Sie Simulationssoftware, um Schaltungen ohne spezielle Hardware direkt am Computer zu testen. Mit Übungen und Lösungen, ideal zum Selbststudium. So gehen Sie gut vorbereitet an den Start!Aus dem Inhalt:Mathematische GrundlagenSpannung, Strom und WiderstandMagnetfelder und InduktionGleich- und WechselrichterWie Motoren und Generatoren funktionierenDigitale Schaltkreise und LogikbausteinePraktische Projekte mit MikrocontrollernKomplettes InhaltsverzeichnisLeseprobe (pdf-link)Über den Autor:Uwe Post, Jahrgang 1968, ist Diplom-Physiker, IT-Profi, Fachbuch- und Science-Fiction-Autor. Außerdem unterrichtet er privat – und dabei geht es meist um den Übergang von der Schule zum Studium.
Mathematik nach Feierabend
Mathematische Prinzipien unterhaltsam erklärt. Mit vielen Knobeleien, Geschichten und Rätseln.Mathematik muss nicht schwierig sein! In diesem Buch finden Sie kleine Geschichten und Rätseleien, die Ihnen grundlegende mathematische Prinzipien näherbringen. Dazu brauchen Sie lediglich Ihre Vorkenntnisse aus der Mittelstufe, ein bisschen Zeit und eine gute Portion Neugier. Der erfahrene Didaktiker Benno Grabinger sorgt mit intuitiven Beispielen aus dem Alltag und kleinen Mitmach-Projekten mit Tabellenkalkulationen für Unterhaltung und viele Aha-Momente. Lernen Sie Mathematik von einer neuen Seite kennen!Mathematik neu entdeckt Mathematik für Mathe-Muffel Um die mathematischen Zusammenhänge in diesem Buch zu verstehen, brauchen Sie nur Ihre Vorkenntnisse aus der Mittelstufe. Der Autor erklärt prägnant und intuitiv die grundlegenden Begriffe und Sachverhalte aus der Welt der Mathematik. Praxisbeispiele zum Mitmachen Mit Excel, Calc oder Numbers können Sie selber aktiv werden: Kleine Projekte zum Ausprobieren zeigen Ihnen, mit welchen Handgriffen und Befehlen Sie eine Tabellenkalkulation verwenden können. Unterhaltsame Rätseleien aus Kunst und Kultur Wie lange dauern eigentlich Glückssträhnen? Wie verläuft die Naht um einen Tennisball? Was bewirkt der Goldene Schnitt? Was ist das Hexen-Einmaleins? Verblüffende Antworten auf all diese Fragen und mehr finden Sie in diesem Buch. Aus dem Inhalt: Roulette und das Gesetz der großen Zahlen Chevalier de Méré und die Kombinatorik Dreieckszahlen und der goldene Schnitt Palindromzahlen Die Mathematik der Tennisbälle Magische Quadrate Lotto und Gewinnwahrscheinlichkeiten Figurierte Zahlen Wurstpellen und die Ellipsengleichung Das Reuleaux-Dreieck Leseprobe (PDF-Link)Hier können Sie das Material zum Buch herunterladen: Die Übungsdateien in Excel und Numbers sowie kurze Tutorial-Filme zu den Übungen.
IT-Management - Das umfassende Handbuch
Personalverantwortung, Budgets, Projektmanagement und strategische Planung – wenn Sie sich mit dem IT-Management beschäftigen, kommen komplexe und ganz unterschiedliche Aufgaben auf Sie zu. Acht Fachleute aus der Praxis, dem Consulting und der Lehre geben Ihnen in diesem Handbuch eine Übersicht über die Aufgaben und Problemstellungen jenseits der technischen Herausforderungen des IT-Berufsalltags. Mit praktischen Beispielen und Erläuterungen werden Sie fit für eine neue Perspektive und bereiten sich auf den nächsten Schritt Ihrer Karriere vor.Aus dem Inhalt:Was ist IT-Management: Aufgabenbereiche und GrenzenOperativ, taktisch, strategisch: die richtige Perspektive findenRecruting, Teambuilding, Personalentwicklung, FührungFinanzmanagement: Budgets und ControllingKonzepte, Technik und Alltag der IT-SicherheitEnterprise Architektur und IT-Service-ManagementMake or buy? Outsourcing, Cloud oder lieber alles selbst machen?Lizenz- und Software Asset ManagementIT-ProjektmanagementRequirements EngineeringCloud und DevOpsUmgebungen betreiben und pflegenÜber die Autoren:Mit über 10 Jahren Expertise in leitenden IT-Positionen in verschiedenen Branchen bringt Maik Wienströer ein fundiertes Fachwissen mit.Monika Dürr ist Senior Consultant und Geschäftsführerin der License Consult AG. Bereits vor ihrer Selbstständigkeit war sie viele Jahre als angestellte Beraterin tätig und leitet nun seit über 15 Jahren ein Team rund um Softwarelizenzierung.Dr. Andrea Herrmann ist freiberufliche Trainerin, Autorin und Beraterin für Software Engineering mit 30 Berufsjahren in Praxis und Forschung, bis hin zu Vertretungs- und Gastprofessuren.Christian Hochwarth gründete seine erste Unternehmung im Jahr 2001. Heute führt er sein IT Beratungshaus an drei Standorten und berät über 400 Mittelständler in der Rhein-Neckar-Region.Als Unternehmensberaterin und Volljuristin mit einem MBA bringt Pia von Lilien-Waldau umfassende Expertise im Datenschutzrecht, in der Informationssicherheit sowie in der Unternehmensentwicklung mit.Thomas Stensitzki ist der Gründer der Granikos GmbH & Co. KG und ein erfahrener Berater für die Implementierung und optimale Nutzung von Exchange, Microsoft 365 und Hybrid-Konfigurationen.Sujeevan Vijayakumaran ist selbstständiger DevOps-Experte und als Consultant und Trainer beschäftigt.Tobias Xu ist ein erfahrener Experte im Bereich Software Asset Management (SAM) mit über einem Jahrzehnt Berufserfahrung in der IT- und Lizenzierungsbranche spezialisiert auf den Hersteller Microsoft.Komplettes InhaltsverzeichnisLeseprobe (pdf-ink)
Microsoft Teams (3. Auflg.)
Teamwork, Collaboration, hybrides Arbeiten? Mit diesem verständlichen und umfassenden Einstieg setzen Sie Microsoft Teams gekonnt in vollem Umfang ein. Schritt für Schritt lernen Sie die Möglichkeiten der Software kennen – damit Sie sicher mit Ihrem Team in Kontakt treten. Vom einfachen Chat über interaktive Videokonferenzen und effizientes Aufgabenmanagement bis hin zur gemeinsamen Echtzeit-Bearbeitung von Dateien und Projekten: Erfahren Sie, wie Sie Ihr hybrides Arbeitsumfeld professionell und effizient gestalten. Nicole Enders gibt Ihnen in diesem Ratgeber wertvolle Tipps und Tricks für die tägliche Arbeit mit Microsoft Teams und dessen Integration in Microsoft 365 an die Hand.Aus dem Inhalt:Was ist und was kann Teams heute?Teams einrichten und personalisierenMit Kollegen digital kommunizierenDokumente teilen und verwaltenGemeinsam in Echtzeit arbeitenEffizient hybrid arbeitenTeamarbeit übersichtlich gestaltenInteraktive Besprechungen durchführenEin Intranet für die TeamarbeitGovernance – mit Analysetools im BlickIntegration mit Microsoft 365Microsoft Teams im BildungsbereichÜber die Autorin:Nicole Enders ist Microsoft Most Valuable Professional für Microsoft 365 und Managing Consultant für Microsoft-basierte Collaboration-Lösungen bei der CONET Solutions GmbH.Komplettes Inhaltsverzeichnis Leseprobe (pdf-Link)
Fix it! Heimwerken, renovieren, reparieren
Zwei linke Hände? Kein Problem!Viele Aufgaben warten im eigenen Zuhause – packen wir's an! Mit diesem Leitfaden lernen Sie, wie Sie sich selbst helfen und einfache Arbeiten ohne Handwerker erledigen.Vom tropfenden Wasserhahn bis zum schlechten WLAN-Empfang, von der Wahl des richtigen Dübels bis zur Installation des eigenen Balkonkraftwerks: Gemeinsam mit Heimwerker Jörg Rippel gehen Sie Projekte rund um die eigene Wohnung an. Lassen Sie sich überraschen, wie viel Sie mit ein paar geschickten Handgriffen selbst erledigen können.Das können Sie selbst! Nachhaltig und souverän Muss der Staubsauger gleich auf den Müll, weil das Kabel einen Knacks hat? Sollte man für eine USB-Steckdose ein paar Monate Wartezeit und hunderte Euro für einen Elektriker einplanen? Natürlich nicht! Kaum etwas sorgt für ein so befriedigendes Gefühl, wie selbst etwas zu schaffen. Mit diesem Leitfaden bauen Sie Heimwerker-Know-how auf, hauchen alten Geräten neues Leben ein und gestalten Ihre Wohnung genau so, wie Sie es sich wünschen. Kleine Schritte, große Wirkung Viele Aufgaben lassen sich ohne Spezialwerkzeug in ein paar Minuten erledigen – wenn man weiß, wie es geht. Schritt-für-Schritt-Anleitungen mit vielen Fotos zeigen Ihnen, was Sie tun müssen. Viele Infos aus der Praxis helfen Ihnen bei der sicheren Umsetzung und verraten Ihnen auch, wann man doch besser einen Profi zur Hilfe holt. Energie, Zeit und Geld sparen Was gehört in eine Nebenkostenabrechnung und welche Versicherungen sind wirklich sinnvoll? Wie behalten Sie Ihren Wasser- und Stromverbrauch im Blick und was tun Sie im Notfall? Die eigene Wohnung bringt Verantwortung mit sich! Mit diesem Ratgeber machen Sie sich schlau und sind bestens auf die Probleme des Alltags vorbereitet. Aus dem Inhalt: Hinweise für Mieter und Eigentümer: von der Nebenkostenabrechnung bis zum Versicherungsschutz Strom- und Wasserverbrauch im Blick Ihr Werkzeugkasten: Akkuschrauber, Bohrer, Säge und mehr Schrauben, Nägel, Dübel und Co. Reparaturen, Recycling und Upcycling Schöner Wohnen: von der Teppichreparatur bis zum verkalkten Duschkopf Beleuchtung, Steckdosen, Schalter und Kabel: einfache Elektroarbeiten selbst durchführen Erneuerbare Energie mit dem Balkonkraftwerk, Klimatisierung und E-Mobilität Smarter leben: die ersten Schritte zum Smart Home Immer online: Internetverbindung und WLAN Heimserver und NAS Leseprobe (PDF-Link)»Stellen Sie sich vor: kein nerviges Warten auf überbuchte Handwerker mehr. Keine überteuerten Rechnungen für Kleinigkeiten. Stattdessen das befriedigende Gefühl, selbst Hand anzulegen und Ihr Zuhause Stück für Stück zu verbessern« Das Basteln mit elektronischen Geräten gehörte schon immer zu Jörg Rippels Hobbys. Privat repariert er gerne alte Radios, beruflich hat er mehr als 20 Jahre in verschiedenen IT-Unternehmen und in der Luft- und Raumfahrtindustrie gearbeitet.
macOS Tahoe For Dummies
Get up to speed on the latest version of macOS Looking to discover the newest features of macOS Tahoe? macOS Tahoe For Dummies is packed with the tips and techniques you need to make the most of your Mac. Experienced author Guy Hart-Davis offers a comprehensive set of instructions for the most useful Mac features and capabilities, old and new. This guide is essential for people learning to use their first Mac, as well as Mac veterans, providing in-depth information on everything from Finder to FaceTime, from Mail to Messages, plus the key system utilities and tools. Inside… Navigate the Liquid Glass interfaceOrganize your files and mediaEnjoy music, movies, podcasts, and e-booksUse system utilitiesTroubleshoot common issuesProtect against hackersKeep your data private Get up to speed on the latest macOS updates and features macOS Tahoe For Dummies is your up-to-date guide to the operating system that brings your Mac computer to life. Experienced macOS expert and educator Guy Hart-Davis walks you through a comprehensive set of instructions for navigating your Mac's features and capabilities. Whether you've just jumped on the Mac bandwagon or you're a long-time Apple user, you'll benefit from the step-by-step walkthroughs of how to organize your files and photos, connect with friends using Messages and FaceTime, and securing your data against external threats and accidental loss. Navigate the new Liquid Glass interface and organize files and mediaListen to music, watch movies, and enjoy your photosUse powerful macOS system toolsTroubleshoot common issues that macOS users run into and learn how to get supportProtect yourself against hackers, phishing attacks, and other dangers macOS Tahoe For Dummies is the essential guide for new and experienced Mac users looking to get the most out of their macOS-powered computer and take advantage of the latest features and updates Apple has packed into macOS Tahoe. Guy Hart-Davis is the author of over 100 technical books, including many in the For Dummies and Teach Yourself Visually series.
Why Learn C
Don’t count C out. The classic programming language remains the backbone of many modern software systems including operating systems, relational databases, libraries, embedded systems, and even the core components of other programming languages. This book teaches C23 while also building a foundation that strengthens your programming skills regardless of what language you normally program in. Starting with a tour of C, it highlights C’s core concepts using example programs to give you the flavor of C. Next, it covers the entire C23 language including topics not often covered elsewhere such as undefined behavior, assertions, atomic variables, lock-free programming, debugging, advanced use of the preprocessor using _Generic, and more. Finally, it gives extended examples of how features common in modern programming languages might be implemented—including lists, maps, dynamic dispatch, and exceptions. This book includes many in-line notes containing commentary, explanations for why something is the way it is, historical context, best practices, and details often glossed over in modern languages. Additionally, it gives examples that evolve with the introduction of new language features. What You Will Learn: · Write programs in C using the new features introduced in C23. · Explore advanced or obscure parts of C not explained well elsewhere, if at all. · See how strings, lists, maps, dynamic dispatch, and exceptions might be implemented from scratch to understand what’s really going on in whatever language you program in. Who This Book is for: Professional programmers, computer science instructors, students or experienced hobbyists who understand programming language concepts (variables, statements, loops, functions, arrays, classes, objects, etc.) and have basic familiarity with algorithm characterization given in “big O” notation. Part 1. Learning C.- 1. A Tour of C.- 2. Comments, Names, and Types.- 3. Operators .- 4. Declarations.- 5. Statements.- 6. Arrays and Pointers.- 7. Enumerations.- 8. Preprocessor.- 9. Functions.- 10. Structures.- 11. Unions.- 12. Input, Output, and Files.- 13. Program Organization.- 14. Multithreading.- Part 2. Selected Topics.- 15. Undefined Behavior.- 16. Assertions.- 17. _Atomic.- 18. Debugging.- 19. Generic.- 20. setjmp and longjmp.- 21. restrict.- 22. volatile.- Part 3. Extended Examples.- 23. Strings.- 24. Lists.- 25. Maps.- 26. Dynamic Dispatch.- 27. Exceptions in C.- A. Standard Headers.- B. Standard Functions.- C23 Differences.
Doing Enterprise-Architecture
Enterprise architecture is a set of business practices that connect an organization’s strategy with its management of change. It is concerned with the structure and story of the enterprise, and ensuring that everything across the whole enterprise will work together in the most effective way. Yet when doing enterprise architecture, what should we do, in what sequence, and for what business purpose? What skills and leadership do we need? What results should we expect? And how can we prove the business value of what we do? This book sets out to answer those questions and show how, with the right architecture support, every change in the organization can be a change for the better. The book explains that to achieve this, we will need a literal ‘architecture of the enterprise’ that can start anywhere and can address every aspect of the enterprise, including people, machines, IT and more. We will need architecture development methods that can work consistently and in the same way everywhere, for every type of content or context, at every scope and scale, with every timescale, and throughout every stage of the change process. We will need those methods to support not just planned change, but provide continuity over longer periods, These methods must also respond fast to unexpected opportunities, risks and large-scale challenges arising within the organization and its market, and from the real-world beyond the enterprise itself. The book describes how to satisfy all of those needs, using a formal dependency-driven maturity-model to guide systematic step-by-step development of the organization’s capabilities for enterprise architecture. The sequence of steps ensures that, at each stage of development, the architecture can be relied upon to achieve desired, effective business outcomes. You Will : Learn how to extend your architecture beyond IT to the whole enterprise. Learn how to use a service-based approach to enhance consistency across the whole architecture. Learn how to enhance efficiency, effectiveness, responsiveness and resilience throughout the enterprise. This book is for : Enterprise Architects. Introduction Chapter 1: The quest for effectiveness.- Chapter 2: Foundations: Making sense of change.- Chapter 3: Foundations: The art and science of change.- Chapter 4: Foundations: The patterns of change.- Chapter 5: Foundations: The layers of change.- Chapter 6: Foundations: The cycles of change.- Chapter 7: Foundations: The practice of change.- Chapter 8: Step 1: Identify the enterprise.- Chapter 9: Step 2: Get ready for action.- Chapter 10: Step 3: Set out the stall.- Chapter 11: Step 4: Interact with the market.- Chapter 12: Step 5: Interact with the enterprise.- Chapter 13: Engaging others in the architecture.- Chapter 14: Wrapping up.- Appendix A: Glossary.- Appendix B: Sources and Resources.
Autonomous Minds
AN ACCESSIBLE DISCUSSION OF THE LATEST AGENTIC AI TECHNOLOGY AND ITS MOST USEFUL APPLICATIONS In Autonomous Minds: How Agentic AI Predicts and Learns to Enable Productivity and Empowerment, veteran tech leader Francisco Javier Campos Zabala delivers a one-stop, up-to-date discussion of the foundational principles of AI agents. He explains their transformative impact on business, society, and people from all walks of life with simple and easy-to-follow language that’s accessible to non-technical readers. Campos Zabala walks you through practical frameworks for implementing AI agents in your own business and life. You’ll find expert insights from leading artificial intelligence practitioners and researchers, as well as understandable introductions to agentic AI tech and both basic and advanced applications in a variety of industries. You’ll also discover hands-on guidance for professionals doing their best to adapt to AI-driven change. Perfect for managers, executives, entrepreneurs, founders, and other business leaders, Autonomous Minds is a must-read resource for professionals in any industry attempting to navigate a rapidly evolving technological landscape that presents us all with exciting opportunities and daunting challenges. A book that combines a technical explanation of agentic AI with the latest practical applications In Autonomous Minds: How Agentic AI Predicts and Learns to Enable Productivity and Empowerment, technology leader Francisco Javier Campos Zabala delivers a comprehensive, first principles analysis of AI agents and their potentially transformative impact on society, business, and individual lives. The book helps non-technical readers make sense of the technological complexity of artificial intelligence and explains its current practical applications. Campos Zabala offers a clear and accessible explanation of these new technologies, walking you through practical frameworks for implementing AI agents in business and personal contexts. Inside the book: Expert insights from leading researchers and practitioners in AIAccessible introductions to the fundamentals of agentic AI, as well as advanced applicationsHands-on guidance for professionals attempting to adapt to AI-driven change Perfect for managers, executives, and other business leaders, Autonomous Minds is an essential guide for all professionals doing their best to make sense of new agentic AI technologies. FRANCISCO JAVIER CAMPOS ZABALA is a technology leader with deep experience delivering innovative tech transformations in adtech, telco, financial services, and healthcare. He has more than 28 years’ experience in strategy, product, analytics, and technology consulting.
Mastering Sovereign Artificial Intelligence
Data, like oil or minerals, is a vital resource – and who owns it is critical, especially as it fuels the artificial intelligence (AI) revolution. Sovereign AI is about much more than countries merely owning their data, it's about control. It ensures AI aligns with their cultural, ethical, and legal frameworks. It's about making sure AI works for people and not the other way around. Businesses, nations, and leaders are quickly realising the need to embrace sovereign AI. This marks a profound shift from building software to creating intelligence. AI has already transformed the world; how we think about its ownership will determine what comes next. In this groundbreaking and thought-provoking book, Mastering Sovereign Artificial Intelligence, AI expert, researcher, and speaker Dr Mark Nasila explores what sovereign AI really means, how it differs from other AI models, and why understanding it is essential for the future. He outlines the shifting geopolitical landscape of AI and the emerging trends shaping international competition, delving into how AI intersects with national security, the economy, and global power. Data and AI sovereignty demand that countries develop skilled AI workforces, establish AI factories, and embed governance and ethics from the very start of any AI strategy. With insights from leading global experts, this handbook is essential reading for anyone who's interested in AI – from individuals and business leaders to policymakers and parents concerned about the future of work. AI is the defining asset of our age and how we choose to own and govern it will shape the destiny of nations – and our place in the world. Contributing authors are Somil Gupta, Prof Benjamin Rosman, Isazi Consulting, Dr Tapiwa Chiwewe, Aaron Frank, Atenkosi Ngubevana, Amb. Dr Lavina Ramkissoon and Mic Mann.
Recreating Built Heritage for Cities
Create historic 3D building models with Heritage Building Information Modelling (HBIM) and industry standard 3D modelling software to use in Unreal Engine 5. Reconstructing vintage buildings back to their original form is becoming a growth area, especially for Heritage Tourism and Virtual Tourism. This book crosses different architectural periods and will show you how to embed heritage data with Autodesk Revit and Autodesk 3DS Max. You’ll first look at how a building’s styling has changed with time to gain an understanding of its cultural heritage evolution. The book then details how to present those buildings within their city using UE5 and how to create portals for users to step through time and view the different architectural changes made by the ‘owners’ of the time and why. You’ll also learn why certain software should be used, and the research required to reconstruct heritage buildings/spaces of significance is provided. Case studies, including real-world applications, help to illustrate the practical applications of methods and processes discussed. Visual aids and illustrations/renders are included to enhance the understanding of the processes. Recreating Built Heritage for Cities is your one-stop guide to digitally recreating and preserving HBIM 3D buildings. What You Will Learn Create heritage buildings in Autodesk Revit Explore importing historically accurate buildings to Unreal Engine 5 Find out how to use HBIM within Unreal Engine 5 Who This Book Is For Architects, historians, urban planners, heritage enthusiasts, virtual technologists, and film/game professionals with no to little experience with Autodesk Maya and/or UE5 will find the book beneficial for recreating 3d worlds/environments. Chapter 1: What is HBIM?.- Chapter 2: History and Benefits of HBIM.- Chapter 3: Creating an HBIM 3D Model for a City Across Different Eras.- Chapter 4: Step One: Data Collection.- Chapter 5: Step Two: Pre-Processing.- Chapter 6: Step Three: Building the 3D Model.- Chapter 7: Step Four: Adding Context.- Chapter 8: Step Five: Post-Processing and Analysis.- Chapter 9: Conclusion.
Pro Azure Governance and Security
Pro Azure Governance and Security will be an indispensable guide for IT professionals, cloud architects, and security engineers aiming to master the latest governance and security practices within Microsoft Azure. This updated edition will build on the foundational elements of the original book, integrating cutting-edge technologies and tools that have emerged in recent years. The book will provide a comprehensive understanding of how to effectively utilize Azure Policy, Blueprints, Security Center, and Sentinel, while also introducing new topics such as Azure AI, Copilot, Copilot Studio, and other advanced governance and security tools. In an era where digital transformation is accelerating, organizations are increasingly moving their workloads to the cloud. Effective governance and security practices are crucial to ensure that these cloud environments are compliant, secure, and resilient. With the continuous evolution of cloud technologies, it is essential to stay updated with the latest tools and methodologies. This book will address these needs by providing comprehensive coverage of both foundational and advanced topics, making it a vital resource for anyone responsible for managing and securing Azure environments. The integration of AI, machine learning, and automation tools like Azure Copilot will further enhance the ability to proactively manage and secure cloud resources. By incorporating these cutting-edge technologies, the book will ensure that readers are equipped with the knowledge and skills required to navigate the complexities of modern cloud governance and security effectively. What You'll Learn Modern Governance in the Cloud Advanced Azure Scaffold for Enterprise Architecture Contemporary Azure Naming Conventions and Standards Comprehensive Azure Policy Implementation Enhanced Security with Azure Security Center Leveraging Azure Monitor and Log Analytics for Operations Scaling Governance with Azure Blueprints and DevOps Azure Sentinel: Next-Generation SIEM Integrating AI and Machine Learning in Cloud Security Implementing Zero Trust Architecture in Azure Multi-Cloud and Hybrid Cloud Governance Future Directions in Cloud Governance and Security Harnessing Azure AI and Copilot for Governance and Security Additional Azure Governance and Security Tools Who This Book Is For Technical engineers, consultants, solution and cloud architects, IT managers, and SecOps teams who need to understand how to integrate governance, security, and compliance in hybrid and Azure environments. A basic understanding of Azure or other public cloud platforms is beneficial, but not required. Chapter 1: Modern Governance in the Cloud.- Chapter 2: Advanced Azure Scaffold for Enterprise Architecture.- Chapter 3: Contemporary Azure Naming Conventions and Standards.- Chapter 4: Comprehensive Azure Policy Implementation.- Chapter 5: Enhanced Security with Azure Security Center.- Chapter 6: Leveraging Azure Monitor and Log Analytics for Operations.- Chapter 7: Scaling Governance with Azure Blueprints and DevOps.- Chapter 8: Azure Sentinel: Next-Generation SIEM.- Chapter 9: AI and Machine Learning in Cloud Security.- Chapter 10: Implementing Zero Trust Architecture in Azure.- Chapter 11: Multi-Cloud Environment.- Chapter 12: Future Directions in Cloud Governance and Security.- Chapter 13: Harnessing Azure AI and Copilot for Governance and Security.- Chapter 14: Elevating Skills in Azure Governance and Security.
Practical Microservices Architectural Patterns
Upgrade your distributed applications with microservices. This practical guide bridges core concepts and advanced patterns to help you build resilient, scalable and high performing microservices, whether you're transitioning from monolithic architectures or starting fresh with microservices. Fully updated for Spring Boot 3 and Spring Cloud, The Second covers modern capabilities, like reactive programming, enhanced observability, advanced security and streamlined configuration management. Learn to solve common architectural challenges in cloud-native development, including service discovery, inter-service communication, distributed transactions, configuration management and fault tolerance mechanisms like retries, timeouts and circuit breakers. You’ll also implement real-world patterns using powerful frameworks like Axon for event sourcing and command handling, and Atomikos for managing distributed transactions with XA protocols. This book provides a hands-on introduction to building modern cloud-native applications from scratch, building up to in-depth discussions on advanced topics, such as CQRS and event-driven architecture. What You Will Learn: Explore the latest features in Spring Boot 3 and Spring Cloud 2024 Build and manage microservices with, routing, security and interservice communication Apply proven patterns for real-world microservices problems Design event-driven architectures and implement CQRS Enable service discovery, centralized configuration, and resilience with Spring Cloud Handle distributed transactions using XA, and Saga patterns Leverage Axon Framework for event sourcing and command handling Secure services with OAuth2.0 and JWT Learn best practices for testing, fault tolerance and observability Who This Book Is For Java developers and software architects who have a foundational understanding of distributed multi-threaded application architecture. No prior experience with Spring Boot or Spring Cloud is required. 1. Distributed Computing Architecture Landscape. - 2. Introducing Microservices.- 3. Microservices in Depth.- 4. Microservices Architecture Principles.- 5. Core Architecture Patterns for Microservices.- 6. Asynchronous Messaging in Microservices.- 7. Getting started with Spring Boot for Microservices.- 8. Building Cloud-Native Microservices with Spring Cloud.- 9. Designing for High Availability in Microservices.- 10. Microservices Performance Tuning and Optimization.- 11. Events, Eventual Consistency and Data Integrity.- 12. Implementing CQRS with Axon Framework.- 13. Distributed Transactions.- 14. Managing Transactions in Microservices.- 15. Optimizing Transaction Strategies for Microservices.- 16. Designing Scalable and Highly Available Microservices.- 17. Building an E-Commerce System based on CQRS with Axon.- 18. Security Best Practices for Microservices.- 19. BASE Transactions and Eventual Consistency with Axon.- Appendices.
Decision-Making Techniques and Methods for Sustainable Technological Innovation
This book is an essential guide for anyone looking to drive sustainable technological innovation, providing a comprehensive toolkit of decision-making methods and real-world applications to effectively manage technology in the era of Industry 5.0. Sustainable technological innovation is critical for building a more sustainable future. As the world faces increasing environmental challenges, there is a pressing need for new and innovative technologies that can reduce resource consumption, mitigate environmental impacts, and promote sustainable development. This book focuses on the vital role of decision-making processes in achieving sustainability through technological innovation in the context of Industry 5.0. By delving into various decision-making methods and approaches employed to facilitate sustainable technological innovation across essential industries such as manufacturing, agriculture, and energy, the book will present both theoretical and applied research on managing technology, including decision-making connected to Industry 4.0 and 5.0, artificial intelligence, and other revolutionary techniques. The book covers a wide range of topics, including multiple attribute decision theory, multiple objective decision-making, patent mining, big data analytics, and other decision-making methods and techniques, and features case studies and reviews that highlight real-world applications of sustainable technological innovation in different industries. The exploration of various decision-making methods and approaches for sustainable technological innovation makes this book an essential guide for those looking toward a sustainable Industry 5.0. Readers will find the book: Emphasizes the role of decision-making processes in enabling sustainable technological innovation, providing a unique perspective on the subject;Covers a wide range of topics related to decision-making for sustainable technological innovation, including decision theory, multiple attribute and objective decision-making, patent mining, big data analytics, and case studies;Provides real-world examples and case studies that demonstrate the effectiveness of decision-making processes in promoting sustainable technological innovation across various industries;Features the latest research and developments in the field, ensuring that readers are up-to-date on the most current thinking on decision-making for sustainable technological innovation. Audience Researchers, practitioners, and students in the fields of computer science, data science, engineering, and mathematics, specifically interested in decision analytics and machine learning algorithms. Kanak Kalita, PhD is an associate professor in the Department of Mechanical Engineering, Rajalakshmi Institute of Technology, Chennai, India. He has authored over 75 research articles, edited eight books, and given over 20 expert lectures. His research interests include machine learning, fuzzy decision making, metamodeling, process optimization, the finite element method, and composites. J.V.N. Ramesh, PhD is an assistant professor in the Department of Computer Science and Engineering at Koneru Lakshmaiah University with over 18 years of teaching experience. He published several papers in national and international conferences and journals, as well as six textbooks. His research interests include wireless sensor networks, computer networks, deep learning, machine learning, and artificial intelligence. M. Elangovan, PhD is currently working as a visiting professor at the Applied Science Research Centre, Applied Science Private University, Amman, Jordan. He has published over 90 articles in international journals and conferences and completed a number of consultancy projects. His research focuses on hydrodynamics, design, underwater marine vehicles, and industrial robots. S. Balamurugan, PhD is the Director of Research and Development at Intelligent Research Consultancy Services. He has published 45 books, over 200 articles in international journals and conferences, and 35 patents. His research interests include artificial intelligence, soft computing, augmented reality, Internet of Things, big data analytics, cloud computing, and wearable computing.
Green Computational Intelligence
Transform your approach to technology and sustainability with this comprehensive guide to green computing and computational intelligence. The global pursuit of sustainability has placed an urgent emphasis on developing innovative and eco-friendly technological solutions. Green computing has the potential to revolutionize the way we evaluate sustainability with the use of energy-efficient algorithms for resource optimization, sustainable hardware design, and smart resource management. Recognizing the intersection of computational intelligence and environmental stewardship, this book seeks to address the pressing challenges of integrating green practices into the realm of computational intelligence and aligning them with global sustainable development goals. Through global expertise from researchers and industry professionals, this book comprehensively covers the many applications of these innovative new technologies, as well as the challenges surrounding their implementation. Readers will find the book: Explores the convergence of environmental sustainability and advanced computational techniques, addressing the global call for energy-efficient and eco-friendly technological solutions;Integrates perspectives from computer science, engineering, environmental science, and artificial intelligence, providing a holistic view of green computing;Examines sustainable practices across diverse topics, including energy-efficient algorithms and resource optimization, sustainable hardware design, green software engineering, eco-friendly data centers, and smart resource management;Offers practical strategies for implementing sustainable computing practices while addressing theoretical and practical challenges;Highlights the role of computational intelligence in promoting sustainability, bridging the gap between technology development and environmental conservation. Audience Researchers, students, educators, and industry professionals working towards sustainable practices in and using green technology. Nitish Pathak, PhD is an associate professor in the Department of Computer Science and Engineering, the Bhagwan Parshuram Institute of Technology, Guru Gobind Singh Indraprastha University, New Delhi, India with over 19 years of teaching experience. He has authored and edited over ten books and published over 125 articles in international journals, conferences, patents, and book chapters. His research interests include intelligent computing techniques, empirical software engineering, trusted operating systems, cloud computing, the IoT, and artificial intelligence. Neelam Sharma, PhD is a senior assistant professor in the Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, New Delhi, India with over 19 years of teaching experience. She has published over 95 papers in international journals, conferences, patents, and book chapters. Her research focuses on wireless sensor networks, wireless body area networks, mobile communications, AI, IoT, information security, and computer graphics. Moolchand Sharma, PhD is an assistant professor in the Department of Computer Science and Engineering at the Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, New Delhi, India. He has published four books and several book chapters, as well as numerous scientific research publications in reputed international journals and conferences. His research areas include artificial intelligence, nature-inspired computing, security in cloud computing, machine learning, and search engine optimization. Dac-Nhuong Le, PhD is an associate professor of Computer Science and Dean of the Faculty of Information Technology at Haiphong University, Vietnam with over 20 years of teaching experience. He has authored and edited over 35 books and numerous articles in international journals and conferences. His areas of research include soft computing, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT, and image processing for biomedicine.
Kotlin Mastery
Enhance your programming toolkit and build robust applications by mastering Kotlin. This book connects Java and Kotlin through side-by-side code samples and practical demonstrations. Java programmers and up-and-coming developers seeking to learn Kotlin need to do so with confidence. Starting with the fundamentals of basic syntax, this book will cover data types, variables, control flow statements. From there move on to advanced topics like object-oriented programming concepts with null safety, lambdas, functions, inheritance and coroutines. Additionally, you’ll delve into practical applications such as designing custom domain-specific languages, working with Kotlin Multiplatform, and leveraging reactive extensions. With numerous hands-on exercises and real-world examples, you'll gain the expertise needed to explore advanced projects. What You Will Learn Explore object-oriented and functional programming with Kotlin to create modular code. Review Kotlin’s techniques for error handling and exception management. Implement Kotlin coroutines for efficient concurrency and asynchronous task management. Design custom domain-specific languages and use the Kotlin standard library for string manipulation and file handling. Who This Book is for Java developers and programmers looking to master Kotlin. 1. Introduction to Kotlin Programming.- 2. Fundamentals of Kotlin Programming.- 3. Functions in Kotlin.- 4. Object-Oriented Programming with Kotlin.- 5. Error Handling and Exceptions.- 6. Collections and Generics.- 7. Kotlin Coroutines.- 8. Kotlin DSL (Domain-Specific Language).- 9. Kotlin Standard Library.- 10. Testing in Kotlin.- 11. Kotlin Reactive Extensions (Rx).- 12. Working with APIs and Networking.- 13. Advanced Kotlin Programming.- 14. Data Analysis with Kotlin.- 15. Kotlin Multiplatform.
Large Language Models Ops for Finance
Explore emerging technologies and the evolving role of AI in finance. Geared toward finance professionals, this book will equip you with the knowledge and tools to harness the power of Large Language Models (LLMs), ensuring you stay ahead in an increasingly AI-driven industry. Highlighting the benefits and challenges of LLMs in financial contexts, the book starts with the necessary infrastructure setup, covering both hardware and software requirements. It offers a balanced discussion on cloud versus on-premises solutions, enabling you to make informed decisions based on their specific needs. Training and fine-tuning LLMs are critical components of effective deployment, and this book offers best practices, from data preparation to advanced fine-tuning techniques. It also delves into deployment strategies, with practical advice on building deployment pipelines, monitoring performance, and optimizing operations. Ensuring data privacy and security is paramount in finance, so you’ll take a close look at maintaining compliance with regulations while safeguarding sensitive information. You’ll also examine the integration of LLMs into existing financial systems, with real-world case studies and strategies for API development and real-time data processing. Monitoring and maintenance are crucial for long-term success, and the book outlines how to manage performance metrics, handle model drift, and ensure regular updates. Large Language Models Ops for Finance is your essential guide to discovering the transformative potential of LLMs in the finance industry. What You Will Learn ● Review LLMs and their applications in finance. ● Set up the infrastructure for training and deploying LLMs. ● Apply best practices for fine-tuning and maintaining LLMs. ● Employ techniques for integrating LLMs into existing financial systems Who This Book Is For AI and ML engineers, data scientists, and finance professionals interested in implementing and managing large language models within the finance industry. Chapter 1: Introduction to Large Language Models in Finance.- Chapter 2: Infrastructure Setup for LLMs.- Chapter 3: Training and Fine-Tuning LLMs.- Chapter 4: Deployment Strategies for LLMs.- Chapter 5: Ensuring Data Privacy and Security.- Chapter 6: Integrating LLMs into Financial Systems.- Chapter 7: Monitoring and Maintenance of LLMs.- Chapter 8: Future Trends in LLM Ops for Finance.
Nanobiotechnology
Explore the integration of nanotechnology with artificial intelligence (AI) and the Internet of Things (IoT), focusing on advancements, applications, and future prospects in the field. This book highlights the fusion of cutting-edge technologies with biological and nanomaterials, emphasizing their role in transforming industries such as medicine, environmental science, and manufacturing. This book delves into the fundamentals of Nano-Biotechnology, starting with its historical evolution and foundational concepts. It explores the various types of nanomaterials, such as quantum dots, polymeric nanoparticles, and metal nanoparticles, detailing their properties and applications in fields such as drug delivery, diagnostics, and catalysis. Cellular nanostructures, biomolecular motors, and bio-inspired nanostructures are discussed, alongside methods for nanomaterial synthesis, including physical, chemical, and biological approaches. A focus on AI and IoT integration is woven throughout, highlighting their roles in optimizing nanomaterial properties, synthesis processes, and applications. The book further explores nanomaterial characterization techniques, nanomedicine, water remediation, MEMS/NEMS, and nanocatalysis, while also addressing crucial topics such as environmental impact, ecotoxicology, and regulatory frameworks. Each chapter presents advanced technological insights, from nanobiocatalysts to thin films and self-assembled nanostructures, all within the context of AI and IoT-driven advancements. You will gain a deep understanding of the interdisciplinary nature of Nano-Biotechnology, the implications of AI and IoT integration, and the ethical, environmental, and societal considerations shaping the future of this rapidly evolving field. The book offers valuable perspectives on emerging trends and equips readers with insights necessary for both academic and practical applications of Nano-Biotechnology. You Will Understand the key concepts, classification, properties, and applications of various nanomaterials in fields like medicine, diagnostics, and catalysis Gain insights into the physical, chemical, and biological methods of nanomaterial synthesis as well as advanced techniques Discover how Nano-Biotechnology is being applied to multiple sectors and MEMS/NEMS systems, and learn about the challenges and future trends Who Is This Book For Readers with a basic to intermediate understanding of nanotechnology, biotechnology, or related fields will benefit from this book. A general familiarity with concepts like AI, IoT, and their applications in scientific disciplines will also be helpful. Chapter 1: Introduction to Nano-Biotechnology.- Chapter 2: Types of Nanomaterials and Their Properties.- Chapter 3: Cellular Nanostructures and Biomolecular Motors.- Chapter 4: Synthesis of Nanomaterials.- Chapter 5: Characterization of Nanomaterials.- Chapter 6: Thin Films and Colloidal Nanostructures.- Chapter 7: Self-Assembly and Nanovesicles.- Chapter 8: Nanoparticles for Drug Delivery.- Chapter 9: Nanoparticles for Diagnostics and Imaging.- Chapter 10: Nanobiocatalysts and Their Applications.- Chapter 11: Environmental and Health Impacts of Nanomaterials.- Chapter 12: Ecotoxicology and Life Cycle Assessment.- Chapter 13: Nanomaterials in Catalysis.- Chapter 14: Nanotechnology in Medicine.- Chapter 15: Nanotechnology in Food Science.- Chapter 16: Nanotechnology for Water Remediation and Purification.- Chapter 17: MEMS and NEMS Based on Nanomaterials.- Chapter 18: Safety and Regulation of Nanomaterials.- Chapter 19: Genotoxicity and Cytotoxicity of Nanomaterials.- Chapter 20: Future Directions in Nano-Biotechnology.
GovOps with Microsoft Power Platform and Copilot
In an era of tightening budgets and rising citizen expectations, government agencies must modernize or risk obsolescence. This book provides a comprehensive, hands‑on roadmap for public sector leaders, architects, and developers to harness Microsoft Power Platform’s low‑code and AI capabilities with Power Apps, Power Automate, Power BI, Power Pages, AI Builder, Copilot, and Dataverse. This book lays out the case for low‑code modernization, demonstrates how to assess organizational readiness, and introduces governance and CoE best practices. Readers will walk away with repeatable frameworks, proven templates, and scripts to accelerate digital transformation in any government setting to foster transparency, efficiency, and citizen‑first service delivery. What You Will Learn Core Platform Deep Dive: Unpacks each Power Platform component with architecture patterns, step‑by‑step tutorials, and design guidelines using official Microsoft icons. Sector‑Specific Use Cases: Shares rich, real‑world examples from licensing and permitting to emergency response coordination, complete with workflows, code samples, and architecture diagrams. Advanced AI & Copilot Integrations: Shows how to train custom AI models, implement Copilot–powered natural‑language generation, and embed responsible AI with human‑in‑the‑loop designs. Operational Excellence, ALM & the Road Ahead: Covers CI/CD pipelines, environment management, security/DLP policy enforcement, accessibility, and next‑gen Copilot trends. Who This Book is For This book is for IT leaders, solution architects, citizen developers, line‑of‑business analysts, and public sector project managers looking to modernize government services. Readers should have some familiarity with Microsoft 365 or basic low-code. Chapter 1: Introduction to Government Modernization.- Chapter 2: Overview of Microsoft Power Platform.- Chapter 3: Planning a Government Low‑Code Strategy.- Chapter 4: Building End‑to‑End Solutions.- Chapter 5: Integrating AI and Co-Pilot.- Chapter 6: Deployment & Governance.- Chapter 7: Facilitating Government Modernization through Use Cases.- Chapter 8: Best Practices & Frameworks.- Chapter 9: The Road Ahead.- Chapter 10: Resources & Templates.- Chapter 11: Azure AI + AI Builder High-Level AI Model Development.- Chapter 12: Copilot Studio In-Depth Tutorial – Bots, Prompts & Custom Skills.- Chapter 13: Low-Code + Pro-Code Fusion – When to Extend with Azure Functions.- Chapter 14: Secure External API Integrations in Government Applications.- Chapter 15: Data Governance & Sovereignty with Dataverse and Azure.- Chapter 16: Making Power Platform Solutions Run Better.- Chapter 17: Monitoring & Logging with Azure Monitor and Power Platform Admin Center.- Chapter 18: Disaster Recovery & Business Continuity Planning.- Chapter 19: The Future of Digital Government – Trends to Watch.- Chapter 20: Developing a Culture of Low-Code Innovation in Government Sector.
Integration of Federated Learning and Blockchain for Smart Cities
Stay ahead of the curve in urban innovation with this essential guide that provides a comprehensive roadmap for federated learning and blockchain to build secure, intelligent, and efficient smart city ecosystems. As cities grow smarter, the demand for secure, decentralized, and privacy-preserving technologies is greater than ever. This book explores how federated learning and blockchain are transforming urban landscapes by enabling intelligent, secure, and efficient systems. By combining the power of decentralized machine learning with the transparency and security of blockchain, this book provides a roadmap for tackling challenges in urban mobility, energy management, public safety, and healthcare, delving into theoretical frameworks, architectural designs, security considerations, and real-world case studies to illustrate the impact of these technologies. This book serves as a comprehensive guide for researchers, industry professionals, and policymakers seeking to understand, implement, and innovate within smart city ecosystems. Readers will find the volume: Explores the synergy between federated learning and blockchain, offering cutting-edge solutions for smart city challenges;Addresses critical issues of data privacy, decentralized AI, and secure digital infrastructure in urban environments;Features practical case studies on smart transportation, energy management, healthcare, and governance;Provides a forward-looking perspective on how emerging technologies will shape the cities of tomorrow. Audience Academics, researchers, industry professionals, and policymakers working in the fields of artificial intelligence, machine learning, blockchain, IoT, cybersecurity, smart city planning, and urban technology development. Krishna Kant Singh, PhD is the Director at the Delhi Technical Campus, Greater Noida, India. He has authored 25 books and over 160 research papers in international journals. He is an associate editor of IEEE Transactions on Computational Social Systems, and Senior editor of IEEE Access. His research interests include machine vision, remote sensing, deep learning, and generative AI. Akansha Singh, PhD is a professor in the School of Computer Science, Engineering, and Technology at Bennett University, Greater Noida, India, with over 18 years of teaching and research experience. She has published over 100 research papers and authored over 30 books in advanced areas of computer science. Her expertise spans image processing, deep learning, machine learning, remote sensing, and IoT, with a strong focus on AI-driven solutions for healthcare and environmental sustainability. Mahesh T.R., PhD is the Program Head of the Department of Computer Science and Engineering in the School of Engineering and Technology, at Jain (Deemed-to-be University), Bengaluru, India. He has published over 180 research articles in international and edited several books. His research interests include image processing, machine learning, deep learning, artificial intelligence, IoT, and data science.
The AI Product Playbook
A comprehensive guide for aspiring and practicing AI product managers The AI Product Playbook: Strategies, Skills, and Frameworks for the AI-Driven Product Manager, by Dr. Marily Nika and Diego Granados, is a practical guide designed to empower product managers to effectively build, launch, and manage successful AI-powered products. This playbook bridges the gap between complex AI concepts and real-world product management, offering actionable frameworks and strategic insights tailored to non-technical professionals. Drawing on their extensive industry experience, the authors guide you in understanding the three essential AI Product Manager personas: AI Experiences PM, AI Builder PM, and AI-Enhanced PM. This framework empowers you to identify your own strengths, focus your skill development, and chart a clear career path in the evolving AI job market. The AI Product Playbook demystifies the full spectrum of AI product development, with a special focus on today’s most transformative technologies like Generative AI and Large Language Models (LLMs). Alongside this modern focus, you will build a strong foundation in the core paradigms of traditional machine learning, understand the complete data science lifecycle, and grasp the operational realities of MLOps. The book also provides actionable frameworks for ethical AI implementation, grounding these concepts in real-world case studies and practical examples. An essential, strategic guide for aspiring and experienced product managers, The AI Product Playbook delivers an effective roadmap to AI-driven product management and career advancement in the AI era. A comprehensive guide for aspiring and current AI product managers The AI Product Playbook: Strategies, Skills, and Frameworks for the AI-Driven Product Manager, by Dr. Marily Nika and Diego Granados, is a practical resource designed to empower product managers to effectively build, launch, and manage successful AI-powered products. This playbook bridges the gap between artificial intelligence theory and real-world product management, offering actionable learnings tailored to non-technical professionals. Drawing from extensive industry experience, Dr. Nika and Granados introduce the three essential AI product manager roles: AI Experiences PM, AI Builder PM, and AI-Enhanced PM. They offer guidance on developing skills crucial for each role and navigating common challenges in the workplace. Readers will also find valuable strategies for career growth, lifelong learning, and crafting a distinctive AI portfolio. Inside the book: Practical frameworks for discovering AI opportunities and aligning AI capabilities with business goalsA deep technical dive with clear explanations of foundational AI and machine learning concepts, including supervised learning, unsupervised learning, reinforcement learning, and generative AIGuidelines for ethical AI implementation, addressing bias, fairness, and compliance with AI regulationsStrategies for effective collaboration with cross-functional teams and enhancing productivity through AIInteractive exercises, action plans, checklists, templates, and quizzes designed to reinforce learning and build real-world skills Essential reading for aspiring and experienced product managers alike, The AI Product Playbook provides a roadmap to mastering AI-driven product management and advancing your career in the dynamic field of artificial intelligence. Dr. Marily Nika is an award-winning GenAI Product Leader at Google and one of the world's foremost AI educators, with over 13 years of experience building AI products at Google and Meta. She holds a PhD in machine learning and is an author, TED AI speaker, Harvard Business School fellow and co-founder of the AI Product Hub (www.aiproduct.com) which offers AI product management certifications. Diego Granados is a Product Leader with more than 6 years of experience bringing AI products to life in top tech companies in Silicon Valley. He holds an MBA from Duke University and an M.S. in C.S. focused on AI & ML from Georgia Tech and is co-founder of the AI Product Hub (www.aiproduct.com) which offers AI product management certifications.