Computer und IT
Physiotherapy Using Artificial Intelligence
Empower your practice with this definitive resource that bridges the gap between artificial intelligence and biomechanics, providing the essential tools and knowledge to optimize assessments, personalize treatment plans, and predict recovery outcomes in the rapidly evolving landscape of modern physiotherapy. The integration of artificial intelligence (AI) with biomechanics in physiotherapy represents a transformative shift in the healthcare landscape, driven by rapid technological advancement and an increasing emphasis on personalized, data-driven care. Over the past decade, AI has progressed from theoretical exploration to practical clinical application, enabling enhanced decision-making and improved patient outcomes. This book examines the intersection of artificial intelligence and physiotherapy with a focused emphasis on biomechanics, exploring how AI can optimize biomechanical assessments, support individualized treatment planning, and predict patient progress in clinical settings. As demand grows for AI-driven innovation in rehabilitation, this volume serves as an essential resource for physiotherapists, clinicians, and researchers seeking to understand and adopt these emerging technologies to advance practice and improve rehabilitation outcomes. Empower your practice with this definitive resource that bridges the gap between artificial intelligence and biomechanics, providing the essential tools and knowledge to optimize assessments, personalize treatment plans, and predict recovery outcomes in the rapidly evolving landscape of modern physiotherapy. The integration of artificial intelligence (AI) with biomechanics in physiotherapy represents a transformative shift in the healthcare landscape, driven by rapid technological advancement and an increasing emphasis on personalized, data-driven care. Over the past decade, AI has progressed from theoretical exploration to practical clinical application, enabling enhanced decision-making and improved patient outcomes. This book examines the intersection of artificial intelligence and physiotherapy with a focused emphasis on biomechanics, exploring how AI can optimize biomechanical assessments, support individualized treatment planning, and predict patient progress in clinical settings. As demand grows for AI-driven innovation in rehabilitation, this volume serves as an essential resource for physiotherapists, clinicians, and researchers seeking to understand and adopt these emerging technologies to advance practice and improve rehabilitation outcomes. Abhishek Kumar, PhD is an Assistant Director and Associate Professor in the Computer Science and Engineering Department at Chandigarh University with more than 13 years of experience. He has authored and co-authored seven books, edited 51 books, and published more than 170 papers in reputed national and international journals, books, and conferences. His research interests include artificial intelligence, renewable energy, image processing, computer vision, data mining, and machine learning. T. Ananth Kumar, PhD is an Associate Professor and Research Head at the Indo French Educational Trust College of Engineering, India. He has edited six books, published numerous book chapters and patents, and presented research at national and international conferences. His research interests include networks on chips, computer architecture, and application-specific integrated circuit design. Sachin Ahuja, PhD is a Professor and Executive Director in the Department of Computer Science at the School of Engineering and Technology, Chitkara University. He has led multiple funded research projects in artificial intelligence, machine learning, and data mining and has contributed to numerous academic books. He has also served as a guest editor for special issues in reputed international journals. J.P. Ananth, PhD is a Professor and Dean of the Internal Quality Assurance Cell at Sri Krishna College of Engineering and Technology. His research has been published widely in peer-reviewed journals, and he serves as a reviewer for several international journals and conferences. His research interests include computer vision, pattern recognition, artificial intelligence, and data analytics. S. Oswalt Manoj, PhD is an Associate Professor in the Department of Computer Science and Engineering at Sri Krishna College of Engineering and Technology with more than 14 years of academic experience. He has published over 100 papers in reputed journals, books, and conferences. His research interests include big data analytics, artificial intelligence, computer vision, machine learning, deep learning, and cloud computing.
Microsoft Planner For Dummies
Project management made simple Plan and manage business projects with stress-free confidence. Microsoft Planner For Dummies walks you through this powerful tool so you can create plans, assign tasks, set deadlines, and keep your team on track. You'll learn how to use built-in templates, calendars, and to-do lists to get organized quickly. Whether you're new to project management or transitioning from Microsoft Project, this friendly guide helps you wrap your head around Planner's features and put them to work right away. It's packed with the step-by-step instructions that beginning project managers can use every day. Creating your first project planWorking with tasks and deadlinesUsing calendars and to-do listsAutomating workflowsCollaborating with your teamTracking project progressUsing templates effectivelyTransitioning from Microsoft Project Tackle projects with confidence using Microsoft Planner Microsoft Planner For Dummies delivers a start-to-finish guide to Microsoft’s industry-leading project management software. Jim Boyce walks you through this not-as-confusing-as-it-first-looks software, showing you the ins and outs of creating projects, integrating Planner with other Microsoft software, organizing and assigning tasks, and more. Covering the key features of Planner Plan 1, you’ll get insight into planning a project, reporting and tracking progress, and managing plans with other collaborators. Keep your project running smoothly and on track, so the only thing you’ll have to worry about is checking tasks off your checklist. You’ll also find: Step-by-step instructions for planning projects within strict time and budget constraintsExpansive coverage of report generation within Microsoft PlannerPractical discussions of how to stay in sync with conversations on Microsoft Teams as you use Planner For beginner project managers, Microsoft Planner For Dummies is your go-to guide. This is also an essential resource for project management students as well as experienced project managers who are new to – or need a refresher on – Microsoft Planner. Jim Boyce is a former principal customer success account manager at Microsoft and author of more than 65 books on computers and technology. He has written for Microsoft.com, TechRepublic, and InfoWorld and was previously an IT services director at Xerox.
Microsoft 365 - Das Praxisbuch (3. Auflg.)
So geht »im Team arbeiten« heute: modern und produktiv in der CloudLernen Sie Microsoft Teams sowie die anderen Online-Apps und ihre Möglichkeiten kennenErfahren Sie, wie Sie welche Apps für welche Aufgaben einsetzenEntdecken Sie, wie Sie effektiv online im Team an Projekten und Dokumenten zusammenarbeitenSie stehen vor der Aufgabe, Microsoft 365 in Ihrem Team für die Online-Zusammenarbeit einzuführen, oder nutzen es bereits? Dieses Praxisbuch unterstützt Sie dabei als Anleitung, Ratgeber und Nachschlagewerk.Microsoft 365- und SharePoint-Expertin Melanie Schmidt zeigt Ihnen in diesem Buch, welche Anwendungen wie Teams, SharePoint Onlineund OneDrive for Business Ihnen mit Microsoft 365 im Unternehmen zur Verfügung gestellt werden, wofür Sie welche App nutzen und worin ihre Unterschiede bestehen. Sie lernen nicht nur das Microsoft 365-Portal kennen, sondern erkunden die bereitgestellten Tools und deren Einsatz anhand von einfachen Schritt-für-Schritt-Anleitungen und vielen Praxisbeispielen, sodass Sie die für Sie relevanten Anwendungen schnell auswählen und meistern können.Mit zahlreichen nützlichen Tipps und Empfehlungen steht Ihnen die Autorin beim Einsatz von Microsoft 365 zur Seite, egal ob am Windows-PC, Mac, Smartphone oder Tablet, im Büro, im Homeoffice oder von unterwegs, sodass Sie effektiv und erfolgreich am Arbeitsplatz 4.0 mit Ihrem Team, Ihrer Abteilung oder Ihrem Fachbereich zusammenarbeiten können.Aus dem Inhalt:OneDrive for BusinessSharePoint OnlineOffice im WebOneNoteOutlook im WebMicrosoft 365-GruppenTeamsPlannerForms und Loop
Routineaufgaben mit Python automatisieren (3. Auflg.)
US-Bestseller: Gegen stumpfsinnige Computeraufgaben! Lernen Sie, Python-Programme zu schreiben, die Ihnen automatisch alle möglichen Aufgaben abnehmen. In wenigen Minuten statt vielen Stunden zum fertigen Programm Mit detaillierten Schritt-für-Schritt-Anleitungen, verständlichen Erklärungen und praxisnahen Beispielen Wenn Sie jemals Stunden damit verbracht haben, Dateien umzubenennen oder Hunderte von Tabelleneinträgen zu aktualisieren, dann wissen Sie, wie stumpfsinnig manche Tätigkeiten sein können. Wie wäre es, den Computer dazu zu bringen, diese Arbeiten zu übernehmen? In diesem E-Book lernen Sie, wie Sie mit Python Aufgaben in Sekundenschnelle erledigen können, die sonst viel Zeit in Anspruch nehmen würden. Programmiererfahrung brauchen Sie dazu nicht: Wenn Sie einmal die Grundlagen gemeistert haben, werden Sie Python-Programme schreiben, die automatisch alle möglichen praktischen Aufgaben für Sie abarbeiten: Dateien durchsuchen – eine oder viele – nach Texten, einschließlich der Nutzung von Texterkennung mit PyTesseract. Dateien und Ordner erzeugen, aktualisieren, verschieben und umbenennen. Das Web durchsuchen und Inhalte herunterladen, ergänzt durch die Verwendung von Playwright als Alternative zu Selenium zur Browsersteuerung. Excel-Dateien aktualisieren und formatieren. PDF-Dateien teilen, zusammenfügen, mit Wasserzeichen versehen und verschlüsseln, unterstützt durch erweiterte PDF-Verarbeitung mit PyPDF und PdfMiner. Erinnerungsmails und Textnachrichten verschicken. Online-Formulare automatisch ausfüllen. Neu in dieser Auflage: 16 zusätzliche Projekte, darunter die Nutzung von OpenAI Whisper zur Transkription von Audio- und Videodateien, Text-to-Speech-Funktionen und Diagrammerstellung mit matplotlib. Schritt-für-Schritt-Anleitungen führen Sie durch jedes Programm, und Übungsaufgaben am Ende jedes Kapitels fordern Sie dazu auf, die Programme zu verbessern und Ihre Fähigkeiten auf ähnliche Problemstellungen zu übertragen. Verschwenden Sie nicht Ihre Zeit mit Aufgaben, die auch ein gut dressierter Affe erledigen könnte. Bringen Sie Ihren Computer dazu, die langweilige Arbeit zu machen!
Advances in Human-AI Collaboration
Detailed guide on how humans and AI systems work in tandem, focused on the successful deployment and use of applications Advances in Human-AI Collaboration offers a comprehensive exploration of AI technologies and applications in the field of Industrial and Systems Engineering. The book incorporates knowledge about AI technology, methodologies, and tools for enabling human-AI collaboration at work, covers the effective design and use of systems and operations utilizing human-AI collaboration to benefit productivity, quality, and customer satisfaction, and provides readers with the skills necessary to effectively implement and consider human-AI collaboration across a variety of settings. This book delivers insights on a wide range of topics including similarities and differences of human and artificial intelligence, effort in creating algorithms versus meeting user needs and enabling improved decision support, sentiment analysis and language models, AI tutors and their design, engagement, and theory building, situation awareness of AI models in relation to human performance, and fact-checking beyond machine learning and predictive accuracy. Written by a team of highly qualified academics with significant experience in the field, Advances in Human-AI Collaboration includes information on: Autonomous vehicles and delivery systems, covering sensors and perception as well as adoption rate and safety projectionsChat-based customer service, covering theory-based interventions to enhance public services and examples of intentional human-technology interactionShip safety, covering increased automation and machine vision to enable collision avoidance Strategies for moving beyond passive writing assistance and writing-related best practicesVulnerabilities in technology-centered design including biased and distorted data, with examples of real-world accidents Advances in Human-AI Collaboration is an essential read for industry practitioners and corporate researchers concerned with using AI in integrated system design and operation. The book also provides essential knowledge for academics researching AI and integrated systems. VINCENT G. DUFFY is a Professor of Industrial Engineering and Agricultural & Biological Engineering at Purdue University. WALDEMAR KARWOWSKI is a Pegasus Professor and Chairman in the Department of Industrial Engineering and Management Systems at the University of Central Florida. GAVRIEL SALVENDY is a University Distinguished Professor at the University of Central Florida.
C++ For Dummies
Your A-to-Z guide to C++ C++ powers everything from video games to web browsers to operating systems—and learning it opens doors to a seriously in-demand skill set. This straightforward guide walks you through the essentials of C++26, from basic concepts to building fully working programs. You’ll get clear explanations of classes, loops, objects, and inheritance, plus hands-on examples that show you how things work under the hood. Whether you’re a complete beginner or just brushing up on your skills, this book makes C++ accessible and fun. Inside…Navigate classes, objects, and inheritanceWork with loops and functionsExplore modules and smart pointersTest and debug your codeAvoid common pitfallsWrite your first programDiscover new featuresCreate and store arrays An accessible walkthrough of one of the world's most popular programming languages: C++ C++ For Dummies is your from-scratch guide that explains the essentials of what you need to know to understand the language and build your very first program in C++. Bradley Jones, experienced programmer and coding educator, packs this edition with examples and clear demonstrations that explain the “why” and the “how” of programming in C++, as well as the programming concepts that will form the foundation of your code, including classes, loops, classes, objects, inheritance, and more. C++ For Dummies provides easy-to-understand tutorials for the use of C++26 and explains the modern approach to printing and displaying information with the std::print method. It also discusses: Explanations of features that make C++26 better including modules, smart pointers, concepts, and rangesWalkthroughs of updated libraries for the filesystem, ranges, formatting, time, printing, and moreTesting and debugging techniques Great for programmers, developers, students, or anyone interested in learning to code in C++ who are looking for a straightforward, hands-on approach to the language, C++ For Dummies is an accessible introduction to C++26 that offers readers a reliable head-start to a fun and rewarding skillset. Bradley L. Jones is the owner of Lots of Software, LLC, and a Microsoft MVP in C++. He has authored numerous books on C, C++, C#, and web development, and is a bestselling technical author and international technology speaker.
ESP-IDF Praxisstart für den ESP32
Lerne den ESP32 praxisnah mit ESP-IDF von Grund auf. Du richtest deine Umgebung ein, verstehst Projektaufbau, Buildsystem, FreeRTOS, GPIO, Timer, Interrupts, PWM, ADC, I2C, WLAN, Webserver, MQTT, NVS und LittleFS. So entwickelst du echte Projekte direkt auf Systemebene und verstehst den ESP32 wirklich. Du lernst den ESP32 von Grund auf mit dem nativen Espressif Framework ESP-IDF kennen. Der Einstieg ist verständlich aufgebaut und stark praxisorientiert, jedes Kapitel baut logisch auf dem vorherigen auf. So entwickelst du Schritt für Schritt ein tiefes Verständnis dafür, wie der ESP32 intern arbeitet und wie du ihn direkt auf Systemebene programmierst. Du richtest deine Entwicklungsumgebung ein, erstellst dein erstes Projekt und verstehst den Aufbau eines ESP-IDF Projekts im Detail. Dabei lernst du zentrale Werkzeuge wie CMake, sdkconfig und menuconfig kennen und bekommst ein klares Bild davon, wie das Buildsystem im Hintergrund funktioniert. Im praktischen Teil steuerst du GPIOs, arbeitest mit Timern und Interrupts und entwickelst reaktive Anwendungen. Mit FreeRTOS setzt du mehrere Tasks parallel um und nutzt die Möglichkeiten des ESP32 für echtes Multitasking. Du setzt konkrete Projekte um und arbeitest mit PWM, ADC und I2C, um LEDs, Servos und Sensoren anzusteuern. Zusätzlich verbindest du den ESP32 mit dem WLAN, betreibst einen eigenen Webserver und nutzt MQTT für die Kommunikation zwischen Geräten. Auch der Umgang mit Speicher wird ausführlich behandelt. Du speicherst Konfigurationsdaten mit NVS und verwaltest Dateien mit LittleFS, um deine Projekte stabil und erweiterbar zu machen. Egal ob du bisher mit Arduino oder PlatformIO gearbeitet hast oder neu einsteigst. Am Ende wirst du den ESP32 nicht nur benutzen, sondern wirklich verstehen und in der Lage sein, eigene Projekte direkt mit ESP-IDF umzusetzen. Viel Erfolg beim Lernen und Entwickeln Markus Edenhauser, MA MSc
Xiaomi, Redmi & POCO - Der schnelle Einstieg in HyperOS 3
Alle Funktionen & Einstellungen auf einen Blick Schritt für Schritt erklärt – mit praktischen Tipps Für alle Smartphones mit dem Betriebssystem HyperOS 3 Mit diesem smarten Praxisbuch gelingt Ihnen der schnelle Einstieg in Ihr Smartphone! Ob Xiaomi, Redmi, Redmi Note oder POCO: Lernen Sie Ihr Handy mit dem Betriebssystem HyperOS 3 kennen und beherrschen! Anschauliche Anleitungen, Beispiele und Bilder zeigen Ihnen gut nachvollziehbar, wie Sie Ihr mobiles Gerät optimal handhaben – von der Ersteinrichtung und Personalisierung über die große Funktionsvielfalt bis zu den wichtigsten Anwendungen. Nutzen Sie darüber hinaus die übersichtlichen Spicker-Darstellungen: Damit können Sie jene Bedienungsschritte, die man am häufigsten braucht, aber immer wieder vergisst, auf einen Blick finden und umsetzen. Freuen Sie sich auf viele hilfreiche Tipps und legen Sie ganz einfach los! Sofern Update auf HyperOS 3 installiert, geeignet für folgende Modelle: Xiaomi 15, 15 Ultra, 15T , 15T Pro, Xiaomi 14, 14 Ultra, 14T, 14T Pro, Xiaomi 13, 13 Ultra, 13 Pro, 13T Pro, 13T, 13 Lite, Xiaomi 12, 12 Pro, 12T Pro, 12T, 12 Lite, Redmi Note 15 (4G/5G), Redmi Note 15 Pro (4G/5G), Redmi 15 (4G/5G), Redmi 15C (4G/5G), Redmi Note 14, Redmi Note 14 Pro, Redmi Note 14 Pro+ 5G, Redmi 14C (4G/5G), Redmi 13, Redmi Note 13 Pro, Redmi Note 13 Pro+ 5G, Redmi 13C, POCO F7 Ultra, POCO F7 Pro, POCO F7, POCO F6 Pro, POCO F6, POCO F5 Pro, POCO F5, POCO X7 Pro (4G), POCO X7 (4G), POCO X6 5G, POCO X6 Pro 5G, POCO M7, POCO M7 Plus, POCO M7 Pro 5G, POCO M6, POCO M6 Pro (4G/5G), POCO C75, POCO C85 Aus dem Inhalt: Alle Bedienelemente des Xiaomi-Betriebssystems HyperOS 3 Ersteinrichtung und Tipps zum Umzug Google-Konto erstellen und verwalten Die Benutzeroberfläche Ihres Smartphones personalisieren Apps aus dem Play Store herunterladen Kontakte anlegen und im Adressbuch verwalten Anrufe tätigen und SMS austauschen Nachrichten über Mail und WhatsApp versenden und empfangen Uhr, Kalender, Maps und andere praktische Apps nutzen Fotos sowie Videos aufnehmen, verwalten und teilen Ins Internet gehen über WLAN und mobile Daten Updates, Datenschutz und Sicherheit
CompTIA SecAI+ Study Guide
Master every exam objective and AI cybersecurity concept for the CompTIA SecAI+ CY0-001 exam, complete with an online test bank, hundreds of practice questions, and digital flashcards In CompTIA SecAI+ Study Guide: Exam CY0-001, veteran cybersecurity and AI professionals Mike Chapple and Fred Nwanganga deliver easy-to-follow coverage of the security concepts critical to AI use and development. You’ll examine basic AI concepts as they relate to cybersecurity, how to secure AI systems, AI-assisted cybersecurity techniques, and AI governance, risk, and compliance issues necessary for working professionals in a variety of technical roles. This book provides authoritative discussions of the relevant issues you need to understand before you start a new career – or advance in your current one – in cybersecurity, with efficient and accurate content. You’ll also find: Three custom practice exams that get you ready to succeed on your first try at the CY0-001 and help you overcome test anxietyHundreds of review questions that measure your readiness for the certification exam, help you retain and remember key concepts, and identify knowledge gaps you need to address before you take the SecAI+ examComplimentary access to the online Sybex learning environment, complete with hundreds of additional practice questions (including two full-length practice exams), flashcards, and a glossary of key terms, all supported by Wiley's support agents who are available 24x7 via email or live chat to assist with access and login questions Perfect for everyone planning to take the CompTIA CY0-001 exam or interested in pursuing a higher-level certification like the SecurityX, CISSP, or CISA, the CompTIA SecAI+ Study Guide is also a must-read for working cybersecurity professionals who want to brush up on AI-specific concepts and for everyone who’s ever wondered if IT security is right for them.
Instagram & Facebook All-in-One For Dummies
Create an online lead gen machine Instagram® & Facebook® All-in-One For Dummies combines the proven, original insights of a full team of seasoned social media and marketing pros into a one-stop, up-to-date guide for staying in touch with friends and family as well as transforming Meta’s massive user base into loyal customers and clients. In the book, you’ll find an accessible and effective roadmap for Instagram and Facebook’s constantly changing marketing platforms. Get a clear walkthrough of setting up your profile, creating posts that get you noticed, and connecting with your target audience. Discover how Instagram and Facebook can transform your brand! 3 Books Inside…Using Instagram and ThreadsUsing FacebookMeta Marketing Transform your online presence into a lead generation machine Instagram & Facebook All-in-One For Dummies brings together the expertise of a group of seasoned social media professionals and certified Meta trainers to solve the biggest challenge facing businesses and individuals today: how to translate Facebook and Instagram’s massive user bases into loyal audiences and customers. This comprehensive guide eliminates the confusion around Meta's constantly evolving platforms by providing clear, actionable strategies that you can apply today. The book combines essential content from four For Dummies titles into a single, walkthrough that covers topics from basic profile setup to advanced marketing techniques. It offers step-by-step instructions for navigating Meta's complex ecosystem of tools and products, creating content that gets noticed, and implementing proven marketing strategies that generate measurable business results. You’ll find: Three books inside covering Instagram basics & business tools, Facebook fundamentals, and Facebook & Meta marketingAn introduction to Threads, the microblogging platform that completes the Meta social media ecosystem.Expert insights from certified Meta trainers and successful social media marketing professionals Practical troubleshooting solutions for common user frustrationsDetailed strategies for both personal branding and business marketing, suitable for beginners and experienced marketers alike Whether you're a small business owner looking to connect with the billions of people who use Meta products, a social media manager seeking to master essential platform features, or someone interested in building a powerful personal brand, Instagram & Facebook All-in-One For Dummies contains the easy-to-follow advice you need to navigate Meta's platforms effectively, create clickable content that resonates with your audience, and implement marketing strategies that deliver real business results. This collection gathers the work of top authors of Instagram and Facebook topics in the For Dummies series including Carolyn Abram and Amy Karasavas, authors of Facebook For Dummies, 8th Edition; Stephanie Diamond and John Haydon, authors of Facebook MarketingFor Dummies, 6th Edition; Jenn Herman, Eric Butow, and Corey Walker, authors of Instagram for Businesses For Dummies, 3rd Edition and Instagram For Dummies, 2nd Edition. Also featured isMeta Certified Lead Trainer and marketing expert Amanda “The Digital Gal” Robinson.
Das Python Buch für Einsteiger: In 21 Tagen Schritt für Schritt Python programmieren lernen ohne Vorwissen - inkl. 14 Praxisprojekte, IDE-Setup, 50 Standardbefehle uvm.
Python: In 21 Tagen die gefragte Programmiersprache lernen, spannende Projekte realisieren und neue berufliche Perspektiven eröffnen Sie sind fasziniert von Codes, Programmieren und effizienter Arbeitsorganisation? Und wollen endlich selbst in die Welt der Programmiersprachen einsteigen? Und das Ganze soll dazu anfängertauglich, step-by-step und anwendungsorientiert sein? Bittesehr – hier kommt Ihr persönlicher 21-Tage-Fahrplan zu fundierten Python-Fähigkeiten für Alltag, Studium oder Büro! Wer Python-Code beherrscht und gezielt für seine Zwecke einsetzen kann, ist in der modernen Arbeitswelt absolut im Vorteil: Es gibt kaum einen Job, in dem Sie mit soliden Programmierkenntnissen Prozessabläufe nicht optimieren und effizienter gestalten können, und dazu eröffnet Ihnen die Fähigkeit völlig neue berufliche Perspektiven. Doch auch das Alltagsmanagement kommt ohne digitale Unterstützung kaum mehr aus – und wie Sie sich die genau auf Ihre Bedürfnisse zugeschnitten selbst programmieren, zeigt Ihnen dieses Buch. Es führt Sie zunächst verständlich in die Grundlagen ein, zeigt Ihnen, wie Code überhaupt funktioniert, und erweitert dann Schritt für Schritt Ihre Kenntnisse sowie praktischen Anwendungsfähigkeiten. Sie lernen grundlegende Datenstrukturen ebenso kennen wie objektorientierte Programmierung und beherrschen schließlich auch fortgeschrittene Konzepte wie Dekoratoren oder List Comprehensions. Klingt (noch) alles wie Chinesisch für Sie? Keine Sorge! Dieser Praxisratgeber richtet sich gezielt an Laien ohne Vorkenntnisse und bringt Ihnen die faszinierende Welt des Codes einfach erklärt und in genau Ihrem Tempo nahe.
Python programmieren lernen mit 15-Minuten-Übungen: Das große Übungsbuch für Einsteiger, Umsteiger & Könner zum schneller Verstehen & sofort Anwenden - inkl. Lösungen, OOP, Debugging-Guide uvm.
Python Übungsbuch: Mit praxisorientierten Aufgaben und verständlichen Erklärungen zur effizienten Beherrschung der Programmiersprache Haben Sie sich schon immer gefragt, wie Sie mit Python programmieren können, aber wussten nicht, wo Sie anfangen sollen? Oder haben Sie schon erste Erfahrungen gesammelt und möchten Ihr Wissen vertiefen? Dann ist dieses Übungsbuch genau das Richtige für Sie! In der heutigen digitalen Welt ist Python eine der gefragtesten Programmiersprachen, und das aus gutem Grund: Sie ist einfach zu erlernen, vielseitig einsetzbar und bietet riesige Möglichkeiten in Bereichen wie Webentwicklung, Datenanalyse und maschinelles Lernen. Doch das richtige Verständnis kommt nicht nur durch das Lesen von Theorie – es kommt durch Übung! Dieses Buch hilft Ihnen, Schritt für Schritt die Grundlagen der Python-Programmierung zu verstehen und vertieft Ihre Kenntnisse mit praktischen Aufgaben und Projekten. Python verstehen: Lernen Sie, wie Python funktioniert, welche Grundlagen Sie wissen müssen und wie Sie diese in der Praxis anwenden können, auch ohne Vorkenntnisse. Übungen & Praxisbeispiele: Mit konkreten Beispielen und Übungen lernen Sie, wie Sie eigene Programme schreiben und die vielseitigen Funktionen von Python nutzen können. Vom Erstellen einfacher Berechnungen bis hin zu komplexeren Algorithmen – dieses Buch führt Sie durch praxisnahe Szenarien. Fortschrittliche Themen: Steigen Sie tiefer ein, wenn Sie bereit sind, und entdecken Sie fortgeschrittene Themen wie objektorientierte Programmierung, Fehlerbehandlung und das Arbeiten mit Bibliotheken und APIs. Debugging & Problembehandlung: Fehler gehören zum Programmieren, aber mit den richtigen Techniken lernen Sie, Ihre Fehler zu finden und schnell zu beheben – für ein solides, fehlerfreies Programm. Dieses Übungsbuch ist speziell darauf ausgelegt, Ihnen zu helfen, Python effizient zu erlernen und anzuwenden. Egal, ob Sie Ihre erste Zeile Code schreiben oder komplexe Programme entwickeln möchten, dieses Buch ist Ihr praktischer Begleiter auf dem Weg zum Python-Profi. Worauf warten Sie noch? Klicken Sie jetzt auf "Jetzt kaufen mit 1-Click" und starten Sie Ihre Python-Reise mit diesem praxisorientierten Übungsbuch!
Grundlagen der Python-Programmierung
Dieses Buch vermittelt einen systematischen Einstieg in die Python-Programmierung und führt Schritt für Schritt durch alle wichtigen Grundlagen bis hin zu fortgeschrittenen Konzepten. Es beginnt mit den zentralen Sprachelementen wie Datentypen, Variablen, Operatoren, Zeichenketten und numerischen Funktionen und zeigt anhand klarer Beispiele, wie Python effizient eingesetzt wird. Aufbauend darauf behandelt das Buch strukturierte Daten wie Listen, Tupel, Dictionaries und Sets sowie Kontrollstrukturen mit Verzweigungen und Schleifen. Im weiteren Verlauf werden Funktionen, Fehlerbehandlung und objektorientierte Programmierung ausführlich erklärt. Ein eigenes Kapitel widmet sich dem Arbeiten mit Dateien, inklusive Lesen, Schreiben, CSV-Verarbeitung und grundlegenden Funktionen des Betriebssystems. Abgerundet wird das Werk durch einen großen Übungsteil mit praxisnahen Aufgaben und vollständigen Lösungen, die das eigenständige Lernen unterstützen und den Stoff festigen. Damit eignet sich das Buch sowohl für Einsteigerinnen und Einsteiger in Informatik und Data Science als auch für Anwenderinnen und Anwender, die ein solides Fundament für weiterführende Python-Anwendungen aufbauen möchten.
Guide To Artificial Intelligence
This book provides a clear and comprehensive introduction to Artificial Intelligence and its growing impact across industries such as healthcare, finance, education, transportation, and cybersecurity. With the increasing importance of AI in modern technology, the author recognized the need for a resource that explains AI concepts in simple, easy-to-understand English for students, IT professionals, and general readers. The book covers essential topics including the fundamentals of Artificial Intelligence, types of AI, machine learning, deep learning, neural networks, data analytics and visualization, natural language processing, computer vision, and the role of AI in robotics. It also explores the applications of AI in cybercrime and cybersecurity. Designed with reference to academic curricula and industry needs, this book aims to provide practical knowledge and foundational understanding, making it a useful guide for learners and professionals interested in Artificial Intelligence.
Digital Security Field Manual
A comprehensive guide for defenders, red teamers, and technologists seeking practical security tactics. This second edition expands on threat modeling, operational resilience, and cyber defense with updated labs, frameworks, and field-tested methodologies. “A future in which technological advances could be turned around on the American people and used to facilitate a system of government surveillance.” While that might sound like a line from George Orwell or the plot of some cyberpunk dystopia, it’s not. It’s a direct quote from Senator Frank Church…in the 1970s. Comforting, isn’t it? They Want Your Data. Look around. Every device you own is a sensor. Every click, swipe, and search, recorded, analyzed, sold. Your life? Monetized. Your privacy? A distant memory. Welcome to the dystopian hellscape that Orwell warned us about. A place where corporations harvest your every move. Where governments archive your conversations. Including your most intimate moments. Where cybercriminals weaponize your digital shadow against you. The Digital Security Field Manual (DSFM) 2nd Edition is your tested guide to surviving in this surveillance-driven dystopia that we call "reality". Completely rebuilt from the ground up, this isn’t just a revision, it’s a full-scale upgrade. More depth. More tactics. More firepower. Inside, you’ll learn how to: Lock down your devices with real-world encryption, kill switches, and anti-forensic tactics. Disappear from trackers with Tor, burner identities, and compartmentalized digital workflows. Defeat AI surveillance, facial recognition, and behavioral profiling. Outsmart metadata leaks, phishing traps, and OSINT profiling. Secure your hardware against physical tampering, supply chain threats, and forensic recovery. Stay operational without burning out, because a paranoid operator is useless if they’re exhausted. What’s new in the Second Edition? AI-powered threats and deepfake defenses, because the game has changed. Expanded privacy toolkits for journalists, activists, and high-risk operators. Updated physical security and anti-forensics playbooks. Operational resilience strategies to keep you sharp when the pressure is on. No nonsense. No corporate or government overlords editing and revising stuff that they don't want you to know. Just raw, actionable tactics built for people who refuse to be the product and have no intention of starring in some bored analyst’s highlight reel at a three letter agency on a Friday night. Whether you’re an everyday user tired of being watched, a privacy advocate pushing back against surveillance capitalism, or a privacy rebel throwing a wrench into the gears of the digital war machine. Your privacy is power. It’s time you took it back.
From Heatmaps to Histograms
Cyber risk quantification (CRQ) is the practice of measuring cybersecurity risk using numbers —not colors or guesswork. Instead of labeling risks “high,” “medium,” or “low,” CRQ uses probabilities, ranges, and impact estimates to help organizations make better, data-informed decisions about risk. In a world where ransomware gangs operate like small businesses, every core function of an organization is digital, and Boards and regulators are demanding meaningful, defensible risk metrics, CRQ has never been more relevant than now. And thanks to AI, it’s about to scale fast. At the same time, CRQ is often misunderstood as expensive, technical, or just “voodoo math.” People assume you need a stats degree, six-figure software, or a room full of analysts. This book is here to prove otherwise. From Heatmaps to Histograms is a hands-on, plain-English guide written by a seasoned practitioner who’s built CRQ programs at top global companies. It’s packed with step-by-step instructions, practical tips, templates, shortcuts, AI prompts, and plenty of myth-busting to take you from CRQ skeptic to CRQ champion—even if you’ve never cracked open a statistics book. All techniques in this book can be performed in Excel or Google Sheets—no coding required. But for readers who want to go further, you’ll find dozens of GenAI prompts that help you generate risk scenarios, clean messy data, or even “vibe-code” your way through a Monte Carlo simulation in Python or R. You'll also get guidance on when to not use AI, how to spot hallucinations, and how to integrate it responsibly into your risk practice. CRQ is no longer optional. This is your roadmap for making it work—cheaply, ethically, and effectively. What You Will Learn: A beginner-friendly introduction to the statistical foundations of CRQ, including Monte Carlo simulations, credible intervals, Bayesian reasoning, and simple methods for summarizing uncertainty—without requiring a math or coding backgroundGather, vet, and work with data—even when it’s scarce, messy, or missingPerform full end-to-end quantitative risk assessments using only Excel or Google SheetsHarness the power of generative AI to supercharge risk analysis workflowsApply CRQ and GenAI responsibly and ethically, with clear guidance on common pitfalls, misuse scenarios, and ensure transparency, fairness, and trustworthiness in your analysis and reporting Who This Book Is For Beginner/intermediate in the cyber/technology risk management field
Strategic Approaches to Intrusion Detection in Cloud-IoT Ecosystem
Future-proof your digital infrastructure with this essential book, which provides a comprehensive exploration of both traditional and advanced machine and deep learning models to implement resilient and intelligent intrusion detection systems for securing complex cloud-IoT environments. The rapid growth of cloud computing and the Internet of Things has transformed industry by enabling real-time data collection, processing, and automation. However, this increasing interconnectivity also introduces significant security challenges, including data breaches, unauthorized access, and cyber threats. Ensuring the security and privacy of cloud-IoT environments requires advanced intrusion detection mechanisms, privacy-preserving strategies, and efficient resource management. This book explores various advanced methods to achieve these goals, including machine and deep learning models, to protect cloud-IoT systems against cyber threats. This book covers both traditional and advanced techniques to implement intrusion detection systems and provides detailed comparative analysis. By offering practical insights, readers will gain a deeper understanding of how to effectively implement intelligent security solutions, ensuring resilience, privacy, and protection against evolving cyber threats in cloud-IoT environments. Readers will find the volume: Provides comprehensive coverage of topics like machine and deep learning for intelligent security; Explores cyber-IoT systems and intrusion detection systems for identifying suspicious activities and mitigating potential threats;Discusses various security mechanisms to safeguard the cloud-IoT environment and implement various techniques to detect intrusions early on. Audience Research scholars and industry professionals in information technology, artificial intelligence and cybersecurity looking to innovate cybersecurity for cloud computing and IoT. Partha Ghosh, PhD is an Associate Professor in the Department of Information Technology and the Head of the Department of Computer Science and Business Systems at the Netaji Subhash Engineering College, Kolkata, India. He has published more than 20 research papers in reputed journals and conferences. His research interests include cloud computing, machine learning, intrusion detection systems, optimization techniques, feature selection, computer networks, and security. Rajdeep Chakraborty, PhD is a Professor in the Computer Science and Engineering Department at Medi-Caps University, Indore, Madhya Pradesh, India with nearly two decades of research and teaching experience. He has made notable contributions through various publications, including patents, books, journal articles, and conference papers. His research interests include cryptography, network security, cybersecurity, IoT, and blockchain. Anupam Ghosh, PhD is a Professor and Head of the Department of Computer Science and Engineering at Netaji Subhash Engineering College, Kolkata, India with more than 22 years of experience. He has published more than 100 international papers in reputed journals and conferences. His research focuses on AI, machine learning, deep learning, image processing, soft computing, and bioinformatics. Ahmed A. Elngar, PhD is an Associate Professor and Head of the Computer Science Department in the School of Computers and Artificial Intelligence at Beni-Suef University, Egypt and an Associate Professor of Computer Science in the College of Computer Information Technology at American University in the United Arab Emirates. He has published more than 150 scientific research papers in prestigious international journals and more than 35 books. His research interests include the Internet of Things, network security, intrusion detection, machine learning, data mining, and artificial intelligence.
Responsible AI
Bridge the gap between groundbreaking AI innovation and ethical responsibility with this comprehensive guide to the expert-led frameworks needed to navigate the complex legal, social, and moral landscapes of our digital future. Artificial Intelligence (AI) has emerged as a transformative force with the ability to bring new innovations to reshape economies, industries, and our daily lives. From advanced medical diagnostics to autonomous vehicles, AI systems are driving incomparable innovations in every sector. These advancements promise unmatched benefits and provide the potential to solve some of humanity’s most pressing challenges. However, there are many potential challenges and significant risks that come alongside the benefits provided by AI. This book offers a multidisciplinary viewpoint on how to develop and use AI systems responsibly by offering a deep dive into the ethical, legal, and societal ramifications of artificial intelligence. It explores important subjects such as algorithmic fairness, transparency, accountability, and governance through contributions from notable academics, engineers, and policy specialists. It highlights how crucial it is to match AI development with democratic norms and human values, offering both theoretical frameworks and workable implementation solutions for a range of industries. This comprehensive guide is an essential resource for scholars, professionals, and legislators dedicated to making sure that AI technology is created and applied in ways that are moral, inclusive, and advantageous to society. The reader will find the volume: Provides a multidisciplinary exploration of the ethical, legal, and social dimensions of AI;Bridges the gap between AI theory and real-world applications through practical frameworks;Covers key topics such as fairness, transparency, accountability, and governance;Serves as a valuable resource for researchers, practitioners, and policymakers aiming to build trustworthy AI systems. Audience AI practitioners, data scientists, developers, business leaders, and executives actively engaged in the development and implementation of AI systems. Manish Kumar, PhD is an Assistant Professor at the Thapar Institute of Engineering and Technology, India, with more than eight years of teaching experience. He has authored several scientific articles in international journals and conferences, as well as internationally published books and book chapters. His research interests include soft computing applications for bioinformatics problems and computational intelligence. Nitigya Sambyal, PhD is an Assistant Professor in the Department of Computer Science and Engineering at the Thapar Institute of Engineering and Technology, India. She is also a postdoctoral fellow in the Department of Information Technology at Uppsala University, Sweden. Her research interests include machine learning, deep learning, medical image analysis, and computer vision. Leena Priyadarshini Singh, PhD is an Assistant Professor in Organizational Behavior and Industrial Relations with more than 14 years of experience. She has published more than 30 research papers in refereed international journals and several chapters in edited books. Her research interests include quality of work life, work-life balance, strategic leadership, corporate governance, and corporate social responsibility. Ramasamy V., PhD is an Associate Professor in the Dr. Sagunthala Research and Development Institute of Science and Technology, Vel Tech Rangarajan, India. He is the author of several scholarly research papers in national and international journals and conferences and editor of several books. His areas of interest include mobile cloud computing, IoT, data science, artificial intelligence, and data mining. S. Balamurugan, PhD is the Director of Research at iRCS, an Indian Technological Research and Consulting firm with more than 20 years of experience. He has published more than 100 books, 300 papers in international journals and conferences, and 300 patents. He specializes in technology forecasting and decision-making for leading companies and startups.
Cisco Networking All-in-One For Dummies
Your one-stop guide to Cisco networking With over 800 pages, this updated edition of Cisco® Networking All-in-One For Dummies is packed with the step-by-step explanations you need to design and manage Cisco networks. You’ll discover what it takes to keep a computer network running and get insight on Cisco’s range of products. Whether you’re a novice or experienced network administrator – or just want to get your bearings in the Cisco product environment – this one-stop resource has what you need. 6 Books Inside… OverviewInternet ProtocolsSwitchingRoutingWirelessSecurity and Management Your detailed guide to all things Cisco—a leading player in network technology With 800 pages of in-depth content, Cisco Networking All-in-One For Dummies is your one-stop guide to the ins and outs of networks powered by Cisco, a leading maker of networkin solutions including routers, switches, and security. You'll get thorough explanations of how to design, implement, and manage Cisco networks. This book is essential for administrators of small or large networks who need to build strong and secure networks that support services and applications. In this new edition, you'll find updated information covering databases, visualization, and all the latest technologies and product releases. Learn the basics of networking with Cisco products—even if you're new to the subjectDiscover the details of switching and routing on Cisco networksAnalyze your organization's networking needs and design a secure Cisco network that gets the job doneOptimize and secure Cisco systems for enhanced productivity and security Networking professionals looking for information on Cisco systems don't need to look any further than Cisco Networking All-in-One For Dummies. Ed Tetz is an IT and networking expert with more than 30 years’ experience building and managing networks on a variety of platforms. He has coauthored multiple certification books and holds many industry certifications including Cisco. He has provided system and network support to organizations of all sizes and has been a Cloud Solution Architect at Microsoft for over 12 years.
A×F Attitude × Form: A Structural Theory of Human AI Interaction
A×F Attitude × Form präsentiert die erste vollständige Formulierung eines strukturellen Modells der Mensch KI Interaktion. Das A×F Modell zeigt, dass generative KI nicht aufgrund von Bedeutung oder psychologischem Verständnis reagiert, sondern ausschließlich durch die formalen Eigenschaften menschlicher Sprache: Haltung Attitude und Struktur Form. Das Buch beschreibt klar und verständlich, wie A×F wirkt, warum KI Ausgaben variieren und welche Rolle sprachliche Muster bei der Entstehung vermeintlicher Tiefe spielen. Es enthält: die theoretischen Grundlagen des Modells die strukturelle Mechanik hinter KI-Antworten eine minimale, reproduzierbare Methodik zur Überprüfung des A×F Effekts die deutsch-englische Gesamtdarstellung des Konzepts Dieses Werk dient als dokumentiertes Fundament innerhalb des ReiterStudio.Art Forschungsprogramms (2023 bis 2026) und als Ausgangspunkt für zukünftige Arbeiten im Bereich Structural Human AI Interaction.
Data Makes the World Go 'Round
A detailed, practical, and up-to-date guide for leaders implementing AI across their organizations Data Makes the World Go 'Round, by veteran tech and business analyst, researcher, and leader, Fern Halper, is a soup to nuts strategy guide for business leaders interested in implementing artificial intelligence in their organizations in a way that drives real-world results. Halper offers specific, actionable advice for technical and business professionals in areas like data management, data architecture, AI tools, AI operationalization, and AI governance. This book combines hard-won insights, real-world case studies, and interviews with proven leaders from a variety of industries, showing you what you need to succeed as you incorporate the latest artificial intelligence tools and technologies into your company. You'll discover how to connect your data, technology, and teams in ways that drive real business impact. Perfect for everyone interested in crafting a powerful, coherent data and AI strategy, Data Makes the World Go 'Round is the informed, up-to-date, and hands-on AI transformation roadmap that you?ve been waiting for. A comprehensive and detailed guide for business and technology leaders ready to implement AI throughout their organizations A soup to nuts strategy guide for business leaders interested in implementing artificial intelligence in their organizations in a way that drives real-world results, Data Makes the World Go ‘Round: The Data, Tech, and Trust Behind AI Success combines specific, actionable advice for technical and business leaders on issues like data management, data architectures, AI tools, AI operationalization, and AI governance. Veteran technology and business analyst, researcher, and leader, Fern Halper, walks you through the organizational and technical factors that determine success in data, analytics, and AI. This book brings together the insights, case studies, and leader interviews that set out exactly what you need to succeed as you incorporate artificial intelligence throughout your organization. It covers the latest trends in data and AI (and how they’re relevant to your top- and bottom-lines), data products, data fabric, and AI responsibility, risk mitigation, and ethics. Inside the book: Specific steps to building the robust internal data foundation you’ll need for artificial intelligence implementationHow to democratize business intelligence so data analysts are free to conduct deeper analyses and perform more sophisticated analytical rolesInformed advice for building AI models, applications, and innovations, and explanations of best practices for model building aligned with your organization’s strategies Perfect for business and technology leaders working towards a comprehensive data and AI strategy, Data Makes the World Go ‘Round: The Data, Tech, and Trust Behind AI Success is a deeply informed, up-to-date, and practical exploration of the foundations of every successful AI transformation – and how you can build them in your own organization. FERN HALPER, PhD, has over two decades' experience helping organizations navigate rapid innovation. As a practitioner, industry analyst, researcher, and thought leader, she has led initiatives in e-commerce, big data, cloud computing, and artificial intelligence. She is currently a leader at TDWI, a company dedicated to research and education in data management, BI, AI, and governance.
The AI Illusion
AN EYE-OPENING DISCUSSION ABOUT THE STRANGEST TRUTH BEHIND ARTIFICIAL INTELLIGENCE: IT DOESN’T EXIST The AI Illusion: Why Machines Aren’t Creative, by Luc Julia, takes you on an extraordinary journey to the beating heart of contemporary artificial intelligence technology. Once there, he offers stunningly straightforward refutations of the most important claims made by AI’s most prominent boosters: artificial intelligence is not intelligent, and it is not creative. Julia lays waste to the most dangerous myths fueling AI hysteria and hype today. He explains why AI—as it is constructed now—is not, and can never be, creative, intelligent, innovative, or able to truly reason. He shows you why AI’s proven ability to reprocess and recombine data in response to user-entered prompts is not likely to lead to “artificial general intelligence” and why many of the current aspirations of AI-curious policymakers and technologists are dead-ends. The AI Illusion is a timely and essential survival guide for the artificial intelligence age. It’s a must-read for technology enthusiasts, business leaders, technology professionals, and everyone else required to understand, implement, or navigate AI tools as part of their work or life. Discover the truth behind AI's most dangerous myth: that machines can truly create In The AI Illusion: Why Machines Aren't Creative, Luc Julia, co-creator of Siri and Chief Scientific Officer for the Renault Group, dismantles the hype surrounding generative AI by revealing what these technologies can actually do (as of today) versus what their promoters claim. Drawing on over 35 years' experience in the tech industry, Julia exposes the fundamental truth that generative AI doesn't create – it recombines existing data in response to prompts, producing impressive but ultimately derivative outputs that lack genuine creativity and understanding. This essential guide takes readers on a comprehensive journey through AI's past, present, and future, systematically debunking seven pervasive myths that shape public perception of artificial intelligence. Julia examines the technical limitations, societal implications, and environmental costs of generative AI while providing practical insights into how these tools function and where they're headed. The book: Reveals the technical reality behind generative AI's "hallucinations," biases, and inability to reason or understand languageExposes the environmental disaster created by energy-intensive AI training and deployment processesAnalyzes the economic and employment impacts of AI adoption across industries and societyDemonstrates why artificial general intelligence (AGI) remains scientifically impossible with current approachesProvides actionable solutions for more responsible AI development and regulation Perfect for technology professionals, business leaders, policymakers, and curious readers trying to understand AI's true capabilities and limitations, The AI Illusion offers a clear-eyed perspective to help you navigate our AI-influenced future. It provides the critical thinking tools you'll need to see past the marketing hype and science fiction fantasies that dominate AI discourse. LUC JULIA, PHD, served as the Chief Scientific Officer of the Renault Group and is a co-creator of Siri that he directed at Apple. He’s a serial entrepreneur, the former Chief Technologist of Hewlett-Packard, and the former Senior VP of Innovation at the Strategy and Innovation Center at Samsung. He holds a doctorate in Computer Science from the École Nationale Supérieure des Télécommunications de Paris.
Data As a Product Driver
Is your company struggling to get real value from data? Problem solved. This book is your guide to transforming an organization from one that treats data as an afterthought or merely a support function into one that makes data a key driver of product development and business innovation. In doing so, you’ll be able to measure outcomes that matter, rather than just tracking features shipped. In a world where products are increasingly driven by data and AI, traditional approaches to product development and data management have become barriers to growth rather than enablers of success. At its core, this book establishes two fundamental principles for success: autonomous, outcome/data-driven product teams and the need for data assets to be managed as products. These principles are then expanded into practical frameworks, step-by-step implementation guides, and maturity models, that cross-functional teams in any industry can incorporate in their decision-making. Whether you're a product manager wanting to become more data-fluent, a data professional aiming to increase your product impact, or a leader trying to break down silos in your organization, Data as a Product Driver provides practical steps to transform how your company uses data. What You Will Learn Reorganize your teams around business problems instead of technical disciplines.Manage the transition from centralized data teams to domain-driven decentralized data ownership.Build effective data platform teams that enable product teams while maintaining consistent standards across your data ecosystem.Create data assets that provide lasting value across your organization.Implement the right operating model for your company's size and maturity level. Who This Book is For Product and data leads driving organizational transformation, product managers, team accountable leads, and data practitioners, such as data engineers, data analysts, data scientists, and ML engineers, who are willing to evolve their team's operating model to maximize value from data.
Architected Intelligence
Transform AI ambition into durable results with Architected Intelligence Architected Intelligence is an actionable guide for leaders responsible for turning AI experimentation into systems that work reliably at scale. Rather than treating AI as a standalone initiative, the book presents a unified framework for designing human-AI systems that align strategy, data, engineering, and organizational execution. Drawing on years of hands-on experience building and operating AI systems in production, Jacob Miller and Jeremy Mumford introduce a set of principles that apply equally to enterprise transformation and individual AI solutions. The framework spans five dimensions that connect strategy, data, models, trust, and enablement into one buildable system. Written for technical executives and practitioners, Architected Intelligence offers a clear path forward for organizations navigating rapid change. It provides the mental models needed to build AI systems that continue to perform as the technology landscape evolves. "Architected Intelligence provides a clear, practical vision for how business leaders and engineers can navigate the AI transformation together. ... This is a great book if you want your mind prepared for What Comes Next." —ABE GONG, Founder at Katabase and Great Expectations; Operating Advisor at Bessemer Venture Partners "I've seen too many AI initiatives die in the last mile between a dazzling demo and a dependable workflow. Architected Intelligence gives me a practical architecture to close that gap. If you want AI that ships and scales, this is the guide I'd hand your team." —JEPSON TAYLOR, Founder and CEO at VEOX; former Chief AI Strategist at Dataiku and DataRobot "We are entering a remarkable new world shaped by AI systems and increasingly autonomous agents, and the organizations that will thrive are those that build on the right foundation from the start. Architected Intelligence gives you exactly that. The authors bring together disciplines that are too often treated in isolation. They ground agents, data, models, and systems design in a coherent and practical framework that any builder or leader can put to work immediately. Having spent decades at the forefront of enterprise technology, I've seen how the right mental model can change everything. This book gives you that model." —SHAOWN NANDI, Director of Technology at AWS Most AI initiatives fail. Transform AI potential into organizational results through the Architected Intelligence framework. The gap between a dazzling "cool demo" and a reliable, production-grade system is a chasm that is swallowing teams and entire organizations. Architected Intelligence is your definitive map at both the organizational and tactical levels to cross this divide. Drawing on their experience building the world's largest ecommerce accelerator, authors Jacob Miller and Jeremy Mumford deliver actionable guidance for organizations struggling to turn proofs of concept into production systems. Whether you are competing in the age of AI or looking to establish technology leadership in your sector, this book organizes AI success around a unified framework of five core components: Design AI Systems to Deliver Impactful OutputPower AI with High-Quality Input Data Engineer, Optimize, and Integrate AI ModelsCreate Trust through ObservabilityScale Transformation through AI Enablement The book also provides: Practical Roadmaps for Both AI Products and AI Automation: The book provides concrete implementation roadmaps for two of the most critical AI use cases: AI as product features and AI for process automation. Readers leave equipped to avoid the all-or-nothing trap through incremental development and to build systems that perform even as the technology landscape rapidly evolves. A Toolkit for Trust, Unstructured Data Governance, and Evaluation: Readers learn how to disaggregate trust into its underlying elements, establish comprehensive and feasible unstructured data governance for organizations of any size, and apply a full suite of evaluation methods to determine whether AI systems are genuinely performing. Built for Technical Executives and the Engineers Who Implement,Architected Intelligence is perfect for technical CEOs, CTOs, product managers, leaders in data science, directors of engineering, and anyone responsible for execution seeking to understand the wider vision. If you want to lead out on AI, this foundational reference will equip you with the mental models and practical tools needed to build AI systems that ship, scale, and succeed. JACOB MILLER is the Vice President of Data Science at Pattern, the world's largest e-commerce accelerator. He has assisted organizations and leaders implementing AI solutions with demonstrable and immediate benefits. JEREMY MUMFORD is the Lead AI Engineer at Pattern. He brings together data and software engineering with formal training in databases and data science to build production-ready generative AI systems.