Allgemein
Die besten KI-Tools
Die passenden KI-Tools finden für den produktiven Einsatz in Alltag und BerufFür alle, die das passende KI-Tool für ihren persönlichen Einsatzweck suchen oder sich über den aktuellen Stand der Technik informieren möchtenÜberblick über mehr als 50 Tools für generative KI (Texte, Bilder, Audio, Video), Recherche, Lernen und WorkflowsStärken, Schwächen und typische Einsatzszenarien der wichtigsten Tools zum NachschlagenAnwendungen für Content-Erstellung, Übersetzung, Transkription, Automatisierung und OrganisationEinblick in benutzerdefinierte KI wie Custom GPTs, Gemini Gems und API-basierte Lösungen Die besten KI-Tools für Alltag und Beruf Dieses Buch stellt mehr als 50 praktische KI-Tools vor, die viele Aufgaben im Alltag und Beruf deutlich erleichtern - von der Bild- und Texterstellung bis hin zur Unterstützung bei Recherche, Lernen und Organisation. Es richtet sich an alle, die KI in Alltag und Beruf produktiv einsetzen oder sich über die vielseitigen Möglichkeiten aktueller KI-Tools informieren möchten. Die passende KI für jede AufgabeIm Fokus stehen zum einen die nützlichsten Tools für Text, Bilder, Sprache und Video: von Textgenerierung und Übersetzung über Bildbearbeitung bis hin zu Transkription, Videoproduktion und Content-Erstellung. Zum anderen werden Lern- und Bildungsanwendungen wie Unterrichtsvorbereitung oder Wissensrecherche und die Automatisierung von Workflows berücksichtigt.Benutzerdefinierte KI: Möglichkeiten und PotenzialeErgänzt wird die Tool-Auswahl durch einen Einblick in benutzerdefinierte KI-Lösungen: von Custom GPTs (ChatGPT) und Gems (Gemini) über API-Nutzung in der Programmierung bis hin zu No- und Low-Code-Entwicklung. Der Fokus liegt auf Einsatzmöglichkeiten, strategischem Potenzial und der Einordnung aktueller Entwicklungen. Auf diese Weise erfahren Sie, wie KI das Arbeiten und Lernen verändert und was heute bereits möglich ist.KI-Tools im Buch: Textgenerierung, Übersetzung, TextverbesserungBildgenerierung, Bildbearbeitung und RetuschePostings für Social MediaSprachgenerierung, Transkription, Videogenerierung und -bearbeitungLernen mit KI, Unterrichtsvorbereitung, RechercheAgenten und virtuelle Assistenten, Automatisierung von Workflows, SelbstorganisationContent-Erstellung, SEO, Marktanalyse, KundensupportBenutzerdefinierte KI (inkl. Praxisbeispiel für Custom GPTs und Gems) Ulrich Engelke, Jahrgang 1963, hat das erste Staatsexamen in Germanistik und Anglistik sowie einen Magister mit Schwerpunkt Linguistik. Nach einem kurzen Ausflug in das Verlagswesen und selbstständiger Tätigkeit als Fachautor, hat er eine Internetagentur gegründet. Heute ist er als Unternehmensberater für Onlinemarketing mit Schwerpunkt SEO tätig. Sein besonderes Interesse gilt technischen Innovationen und deren ökonomischen wie gesellschaftlichen Auswirkungen.
SOCIAL MEDIA TRENDS 2026
Zwischen KI, neuen Marketingstrategien und verändertem Nutzerverhalten im Jahr 2026: Was jetzt für Unternehmen, Gesellschaft und Gen Alpha bis Gen 60+ zählt. Dieses Buch zeigt dir, was hinter den größten und aktuellen Umbrüchen auf Social Media steckt, von DeepFakes und generativer KI bis hin zu den völlig unterschiedlichen Erwartungen und Auswirkungen auf die Gen Alpha und der wachsenden Zielgruppe der Gen 60+. Du erfährst, wie sich Vertrauen, Content, Algorithmen und Plattformlogiken der Social-Media-Kanäle verändern und was das konkret für deine Social- Media-Strategie bedeutet. Praxisnahe Beispiele machen komplexe Entwicklungen greifbar und zeigen dir, wie du die aktuellen Trends nicht nur erkennst, sondern erfolgreich nutzt. Ein Sachbuch, Arbeitsbuch, Impulsgeber und eine Ideensammlung für kleine und große Unternehmen, die sich fit machen wollen, für eine Welt, in der der richtige Umgang mit Social Media und künstliche Intelligenz über den Erfolg und gute Kundenbeziehungen entscheidet. In dieser Ausgabe mit den Schwerpunktthemen Gen Alpha, die Generation 60+, Verantwortung, Vertrauen, Authentizität und Social Commerce. Ganz im Sinne eines praxisnahen Arbeitsbuches und Impulsgebers mit der Option zur Vertiefung in unterschiedliche Themen beinhaltet diese Ausgabe MINDESTENS 445 LESE- UND MEDIENEMPFEHLUNGEN. Du findest zu jedem Thema aktuelle Studien, Sach- und Fachbuch-Empfehlungen und Buchtipps, Tipps für Dokumentationen, Filme, Links zu Beratungs- und Informationsstellen und Podcast-Empfehlungen. Dieses Buch ist dein Guide, um Entscheidungen in einer Social-Media-Welt zu treffen, in der sich alles schneller verändert als je zuvor.
Schömers Gedanken am See
Wann haben Sie zuletzt wirklich innegehalten? Georg Schömer fängt genau diese Momente ein – mit dem Blick eines erfahrenen Sozialpsychologen und der Wärme eines Menschenkenners. 287 Texte über Alltag, Gefühle und die großen Fragen unserer Zeit. Kein Ratgeber. Ein Spiegel. Für Menschen, die denken und fühlen. Wann haben Sie zuletzt wirklich innegehalten? Beim Morgenkaffee, beim Blick auf den Bodensee, beim Lächeln Ihres Kindes – oder einfach in der Stille eines verregneten Sonntagnachmittags? Georg Schömer hält genau diese Momente fest. In 287 kurzen Texten nimmt er uns mit in die kleinen, oft übersehenen Augenblicke des Alltags: die erste Tasse Tee am Morgen, Pellkartoffeln mit Milch, das Bodenseeufer und die Psyche, ein Strandbadversuch am Bodensee, Aquarell, die Stille im Flur nach dem Auszug der Kinder. Und plötzlich erkennen Sie sich selbst auf jeder Seite. Wissenschaftlich fundiert – und dennoch zutiefst menschlich. Mit dem geschulten Blick eines Sozialpsychologen und der Wärme eines Menschen, der das Leben in all seinen Facetten kennt, verwebt Schömer Alltagsbeobachtungen mit überraschend tiefgreifenden Einsichten. Er schreibt über Eifersucht und Demut, über Heiterkeit und Liebeskummer, über Freundschaft und das Älterwerden. Über die Frage, was uns als Menschen ausmacht – in Zeiten von KI, gesellschaftlichem Wandel und zunehmender Entfremdung. Die Texte sind kurz. Die Gedanken bleiben lang. Ob am Bodenseeufer, im Café um die Ecke oder auf dem Sofa zuhause – dieses Buch passt in jeden Moment, in dem Sie kurz durchatmen möchten. Es ist kein Ratgeber, kein Selbsthilfebuch. Es ist ein Spiegel, der zeigt: Das Leben steckt nicht in den großen Ereignissen. Es steckt im Dazwischen. Für Menschen, die denken. Fühlen. Und manchmal beides gleichzeitig.
Craniomandibular Dysfunction for Beginners: How to Understand CMD Without a Medical Degree and Drastically Improve Your Quality of Life - Including Alternative Healing Approaches and the Best Exercises
Do you suffer from symptoms of craniomandibular dysfunction such as jaw joint pain, headaches, neck tension, or tinnitus? Do you want not only to relieve the symptoms but to eliminate the cause of the pain? Then this book is right for you! 7 million people in Germany suffer from CMD, yet very few are aware of it. The symptoms are as varied and diverse as the doctors' recommendations. In addition to the symptoms already mentioned, toothaches, heart rhythm disturbances, chest pain, swallowing difficulties, visual impairments, or migraines may also occur. In fact, even doctors and therapists often overlook that the symptoms can all be traced back to the root cause "CMD." CMD is curable! CMD is curable. Usually, no expensive measurements or custom-made dental splints are needed. It is more helpful to understand the background of this condition and to perform exercises that will reliably and permanently eliminate the problem. This book will guide you step by step with proven methods to healing – with a success guarantee! Discover in this authentic guide… ✓ how to realistically classify your symptoms within the clinical picture ✓ the background of the disease and finally understand your body's reactions ✓ which conventional treatment approaches exist, which path you should take, and which ones are better avoided even though they are often recommended ✓ how to achieve better chances of recovery through the most promising and newest alternative healing methods ✓ an emergency plan to quickly and effectively relieve acute symptoms ✓ how complex issues are explained in simple language, understandable even for non-medical professionals ✓ and much more … Every person who has already eliminated the causes of their CMD illness with this book will assure you that it is only important to be well-informed and to have a comprehensive, practical guide. So take the opportunity to solve your small jaw problem. Craniomandibular dysfunction will soon be a thing of the past! Scroll up now and click the "Add to Cart" button. So take the opportunity to solve your small jaw problem. Craniomandibular dysfunction will soon be a thing of the past! Scroll up now and click the "Buy Now with 1-Click" button.
The Developer's Field Guide to Modern Software Engineering
Exploremodern software engineering from design to deployment and everything in-between. This field guide is your ultimate reference to designing, building and deploying modern software applications in the tech industry today. Split into four parts, the book takes you through the stages of the software lifecycle, introducing you to aspects such as the command line interface, containerisation, design and practices before taking you through the major components of software system design, patterns, tools and best practices, before embarking on software deployment and all of the major areas of testing and security. You will also look at how the role of AI influences and impacts our approach to software engineering during different stages of development. The Developer's Field Guide to Modern Software Engineering is made up of 17, self-contained chapters for easy reference for those just starting their developer careers as well as those more experienced, who are looking for a quick refresher on a particular topic or issue. What You Will Learn Review the major components of modern software engineering Explore major topics in a real-life contextTroubleshoot potentional problems See how AI is impacting software at different stages of the lifecycle Who This Book Is For Developers, engineers, and product managers who are involved in the design and deployment of software applications. Also, for those just starting out, looking for a starting point, as well as those more experienced looking for a quick and easy refresher on a particular topic.
Adversarial AI Threat Response and Secure Model Design
As artificial intelligence becomes embedded in everything from healthcare diagnostics to financial systems and autonomous vehicles, the stakes for AI security have never been higher. Adversarial AI Threat Response and Secure Model Design is your essential guide to understanding, defending against, and designing resilient machine learning systems in the face of growing adversarial threats. Written by a leading expert in AI security and policy, this book delivers a combination of technical depth, practical implementation, and strategic insight. It begins by mapping the full landscape of adversarial threats—evasion, poisoning, model extraction, backdoors, and more—across diverse data modalities and real-world applications. From there, it equips readers with a robust toolkit of detection and defense techniques, including adversarial training, anomaly detection, and formal robustness certification. But this book goes beyond code. It explores the organizational, ethical, and regulatory dimensions of AI security, offering guidance on risk quantification, explainability, and compliance with frameworks like the EU AI Act. With hands-on projects, open-source tools, and case studies in high-stakes domains, readers will learn to design secure-by-default systems that are not only technically sound but socially responsible. Whether you're an AI engineer deploying models in production, a cybersecurity professional defending intelligent systems, or an educator preparing the next generation of AI talent, this book provides the clarity, rigor, and foresight needed to stay ahead of adversarial threats. It’s not just a reference—it’s a roadmap for building trustworthy AI. What You Will Learn: Understand the full spectrum of adversarial threats to AI systems, including evasion, poisoning, backdoor injection, and model extraction, across vision, language, and multimodal applications.Apply practical detection and defense techniques using real tools and code, including adversarial training, statistical anomaly detection, input preprocessing, and ensemble defenses.Evaluate and balance trade-offs between accuracy, robustness, performance, and interpretability in the design of secure machine learning systems.Navigate the regulatory, ethical, and risk management challenges associated with adversarial AI, including disclosure practices, auditability, and compliance with emerging AI laws.Design, implement, and test secure-by-design AI solutions through hands-on projects and real-world case studies that span sectors such as healthcare, finance, and autonomous systems. Who This Book is for: Written for technical professionals and researchers who are building, deploying, or securing machine learning systems in real-world environments. The primary audience includes machine learning engineers, AI developers, cybersecurity professionals, and graduate-level students in computer science, data science, and applied AI programs. It is also relevant for technical leads, architects, and academic instructors designing secure AI curricula or systems in regulated or high-stakes domains.
The Handbook of Data Science and AI
A comprehensive overview of the various fields of application of data science and artificial intelligence. Case studies from practice to make the described concepts tangible. Practical examples to help you carry out simple data analysis projects. New in 3rd edition: AI Agents, RAGs, MCP, Vibe Coding Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them. Featuring: The book approaches the topic of data science from several sides. Crucially, it will show you how to build data platforms and apply data science tools and methods. Along the way, it will help you understand - and explain to various stakeholders - how to generate value from these techniques, such as applying data science to help organizations make faster decisions, reduce costs, and open up new markets. Furthermore, it will bring fundamental concepts related to data science to life, including statistics, mathematics, and legal considerations. Finally, the book outlines practical case studies that illustrate how knowledge generated from data is changing various industries over the long term. Mathematics basics: Mathematics for Machine Learning to help you understand and utilize various ML algorithms. Machine Learning: From statistical to neural and from Transformers and GPT-3 to AutoML, we introduce common frameworks for applying ML in practice Natural Language Processing: Tools and techniques for gaining insights from text data and developing language technologies Computer vision: How can we gain insights from images and videos with data science? Modeling and Simulation: Model the behavior of complex systems, such as the spread of COVID-19, and do a What-If analysis covering different scenarios. ML and AI in production: How to turn experimentation into a working data science product? Presenting your results: Essential presentation techniques for data scientists
Home Assistant (3. Auflg.)
Das umfassende Handbuch in 3. Auflage aus dem April 2026.Home Assistant ist Ihr Begleiter auf dem Weg zum eigenen Smart Home. Im Handumdrehen integrieren Sie Geräte und Dienste in Ihr System und automatisieren Schaltungen und Szenen ganz nach Ihren Bedürfnissen. Udo Brandes beschreibt alle Schritte, die Sie für Ihr eigenes Smart Home benötigen, von der Einrichtung über die Verwaltung bis hin zur Automatisierung. So erfahren Sie in übersichtlichen Kapiteln zum Nachschlagen, wie Sie den Home Assistant um Datenbank- und Programmiermöglichkeiten erweitern, mit ESPHome eigene Schalter und Sensoren einbinden und daraus ein Komplettpaket für die Heimautomation schnüren.Neu in der 3. Auflage: die KI-Features von Home Assistant.Ihr intelligentes Zuhause: Home Assistant vorgestellt Nach der Installation lernen Sie die Menüs und Optionen von Home Assistant kennen und erfahren, wie Sie das System mit Integrationen und Add-ons erweitern können. Individuell und auf Sie zugeschnitten Möchten Sie Shelly-, Tasmota- oder Tuya-Geräte in Ihre Installation integrieren oder mit Node-RED anspruchsvolle Automatisierungen programmieren? Mit Kodi und eigenen Lichtszenen den Fernsehabend zum Kino-Erlebnis machen? Von unterwegs die Verbrauchswerte Ihrer Wohnung im Auge behalten? Dieser Leitfaden zur Heimautomation zeigt Ihnen, was Home Assistant alles kann. Der Letzte macht das Licht aus Mit wenigen Handgriffen sorgen Sie dafür, dass alle Lichter ausgehen, wenn die letzte Person das Haus verlässt. Oder Sie überwachen Sensoren und erstellen einen Überblick über den Energieverbrauch Ihrer Wohnung. Mit Home Assistant und dem Know-how in diesem Buch ist alles möglich. Aus dem Inhalt: Das Setup und der erste Start: das Webinterface von Home Assistant Home Assistant administrieren Geräte, Dienste, Entitäten Automatisierungen mit Szenen, Skripten und Vorlagen Dashboards, Apps und externer Zugriff Medien, Sprachdienste und künstliche Intelligenz Bereiche und Zonen Werkzeuge und Helfer Datenspeicherung mit MariaDB und InfluxDB Sonoff, Tasmota, Shelly, Matter und Tuya integrieren Programmierung mit Node-RED Eigene Geräte mit ESPHome
Fit fürs Studium - Wirtschaftswissenschaften und BWL
GUT VORBEREITET IN DIE VORLESUNG!Wer an wirtschaftlichen Themen und Zusammenhängen interessiert ist, kommt an den Fächern BWL und Wirtschaftswissenschaften nicht vorbei. Aber der Einstieg kann herausfordernd sein. In diesem Buch finden Sie einen genau an die Prüfungen und den Studienverlaufsplan angepassten Vorkurs – inklusive eines Einstiegs ins wissenschaftliche Arbeiten. Dabei gilt: Ob Sie vor dem Start in ein Studium der Wirtschaftswissenschaften oder BWL stehen und einen Gesamtüberblick brauchen, oder nur an einzelnen Themen interessiert sind, ist erst einmal egal.Die Kapitel sind unabhängig voneinander lesbar und jeweils mit zahlreichen Abbildungen, Beispielen und passenden Übungen unterlegt. So werden Sie von Unternehmensaufbau über Rechnungswesen bis hin zu Personalmanagement und Controlling fit fürs Studium! Grundlagen von Wirtschaftswissenschaften und BWL verstehenEinführung in Rechnungswesen, Controlling, Buchführung und mehrMit vielen Beispielen und Übungen, ideal fürs Selbststudium Aus dem Inhalt: Tipps und Tricks rund ums StudiumWissenschaftliches ArbeitenAufbau eines UnternehmensProduktion, Logistik und BeschaffungAbsatzInvestition und FinanzierungRechnungswesenPersonalmanagementControllingMathematische und statistische Grundlagen
Einführung in die Elektrotechnik (3. Auflg.)
IDEAL FÜR STUDIUM UND AUSBILDUNGDie Elektrotechnik ist vielfältig, spannend – und sehr anspruchsvoll. Damit Sie das Studium oder die Ausbildung meistern, vermittelt Ihnen Marika Höwing in diesem umfassenden Leitfaden alles, was Sie für die Prüfungen in der Elektrotechnik benötigen. Und sie geht dabei besonders praxisnah und anschaulich vor. Zahlreiche Tabellen, Formeln, farbige Schaltpläne und Abbildungen sorgen dafür, dass Sie stets den Überblick beim Lernen behalten. Das benötigte Mathematikwissen bleibt dabei wohl dosiert und gut verständlich. Von den physikalischen und mathematischen Grundlagen über Gleich- und Wechselstromkreise, Drehstrom, Elektromagnetismus bis hin zu Netzwerken und Schaltungen deckt das Buch den gesamten Stoff des Grundstudiums ab.Merksätze, Übungen und Musterlösungen unterstützen Sie beim Lernen und Wiederholen des Lernstoffes.Für E-Techniker und alle, die es werden wollen.Aus dem Inhalt: Elektronische GrundbegriffeElektrostatikGleichstromkreiseNetzwerkberechnungenMagnetische FelderWechselstromkreiseFilter und PassschaltungenDrehstrom Leseprobe (PDF-Link)
Die neue Suchökonomie
Die Suche verändert sich rasant: Menschen tippen keine Keywords mehr ein, sondern sie sprechen mit KI. ChatGPT, Perplexity und Google Gemini werden zur ersten Anlaufstelle für Antworten. Wer hier nicht erscheint, existiert für viele potenzielle Kundinnen und Kunden schlicht nicht mehr. Dieses Buch zeigt dir praxisnah, wie KMU in dieser neuen Ära sichtbar bleiben. Du lernst, wie LLMO (Large Language Model Optimization) und GEO (Generative Engine Optimization) funktionieren und wie du deine Inhalte so optimierst, dass KI Systeme dich finden, verstehen und empfehlen. Mit klaren Erklärungen, Checklisten und Beispielen bekommst du eine Schritt für Schritt Anleitung, um deine digitale Autorität aufzubauen und in KI generierten Antworten präsent zu sein. Zukunftsfit, ohne technisches Kauderwelsch.
SAP List Viewer Object Model for ABAP Developers
This book is the ultimate resource for building interactive, professional-grade ALV reports using ABAP’s powerful SALV framework. Starting with the evolution of ALV and your first grid implementation, the book walks you through the essentials of the CL_SALV_TABLE object. From mastering column properties and controlling standard toolbar functions to applying sorting, filtering, and custom display settings, you'll gain the tools to tailor the user experience to fit any business requirement. Step-by-step examples and clear guidance help you build polished, functional reports quickly and efficiently. As the book progresses, you'll explore more advanced techniques, including user interaction through event handling, custom toolbar functions, aggregation logic, and dynamic selections. You’ll dive into layout variants, cell-level customization, ALV in Dynpro, form-based outputs, and print-ready formats. Special focus is given to ALV with Integrated Data Access (IDA) for handling large data volumes, as well as hierarchical and tree structures using CL_SALV_HIERSEQ_TABLE and CL_SALV_TREE. With real-world use cases, practical labs, and helpful appendices on performance tuning and flight data setup, this book equips SAP developers of all levels to deliver high-quality, scalable ALV solutions across enterprise environments. You Will: Learn to build interactive ALV reports using CL_SALV_TABLE, from basic to advancedLearn integration of ALV in Dynpro screens and use of Form Design ObjectsLearn to optimize performance using ALV with Integrated Data Access (IDA) This book is for ABAP Developers and SAP Technical Consultants.
The AI Product Manager's Playbook
The AI Product Manager's Playbook: Agentic Commerce & Digital Experience captures a pivotal shift in how products are imagined and delivered in the age of intelligent automation. As AI agents begin to make decisions, personalize interactions, and drive transactions autonomously, product managers are challenged to operate beyond traditional frameworks. This book offers a concise, actionable roadmap for navigating that transformation. It focuses on the emergence of agentic commerce-where AI agents act on behalf of users-and the redesign of digital experiences powered by intelligence, context, and autonomy. Rather than treating AI as a feature, the playbook positions it as the foundation of product strategy, execution, and user engagement. Whether you're evolving into an AI product role or leading innovation in digital ecosystems, this guide helps you understand the mindset, tools, ethics, and success metrics needed to build AI-native products that shape the future of commerce and experience.
Everyone Is a Programmer
This book is written by practitioners shaping AI coding tools and developer ecosystems in one of the world’s most application-driven tech environments. Vibe coding is a modern, AI-driven way of building software where you focus on what you want to create, and AI helps handle how it’s built. But it is not a shortcut or a gimmick. Effective vibe coding requires understanding how products are structured, how systems fit together, and how ideas turn into real, usable applications. This book introduces you to just that, helping you find your way to your first AI-coded apps. In six chapters, you’ll learn to ideate, plan, and execute your app ideas. You’ll hit the ground running with professional-grade tools like TRAE SOLO, Cursor, Figma, Vercel, and Supabase. The book’s coverage of end-to-end AI application development includes UI/UX, backend, hosting, authentication, and payment integration. By the end, you will have built two full projects and be equipped with a new way to create. What you build next is up to you.
Master Data Governance Framework
In today’s competitive business landscape, the key to success lies within the heart of your organization’s data–the Master Data. This book brings together insights and techniques needed to navigate the complex world of Master Data governance and management, and revolutionize how Master Data and information are handled within an organization. Master Data, the backbone of every successful enterprise, encapsulates the fundamental information essential for conducting business seamlessly. At the same time, Master Data governance helps businesses stay focused on what really matters–using Master Data to grow revenue, cut hidden costs, and stay safe and compliant with regulations. This comprehensive guide dives into practical applications, showing you how to harness the potential of your Master Data resources to fuel strategic decision making, reliable business operations, and market-driven product innovation. As companies worldwide recognize the pivotal role of Master Data in shaping their future, the demand for comprehensive, actionable guidance is greater than ever. With a wealth of non-technical illustrations, real-world examples, and practical tools, this book demystifies the complexities of Master Data governance and management. At its core, this book introduces a proven Master Data governance framework that empowers you to take charge systematically and methodically. Whether you’re taking your first steps or you’re well-versed in Master Data governance and management, you’ll find step-by-step guidance to ensure that you’re always moving forward. What You Will Learn Easily distinguish your company’s data types within its data ecosystem using icons and illustrationsControl Master Data using a unique Master Data governance framework with three interconnected gears: Master Data, systems, and organizationEnsure that business data needs are met using a non-technical data modelling working tool that includes the core identifiers and attributes to describe customers, products, suppliers, and moreCreate the Master Data overview using illustrated data and system landscapes, and the data flow mapping methodCreate a Master Data organization using a described and illustrated structure, roles, and meeting forumsDesign Master Data processes, procedures, and policies using concrete Master Data quality examplesEnsure high Master Data quality and data-driven decisions to realize data valueSelect and use Master Data platforms and use AI and machine learning wisely to achieve a single source of truthImprove the Master Data area in system implementation using a project framework, processes, and tools Who This Books Is For Data professionals without a theoretical data background and who work with data daily and need a deper understandng of what data is and how to handle master data and its quality in practice; trained data professionals needing inspiration as they seek to refine their methods and strategies for managing master data tasks and initiatives in practice; and readers who want more than a theory book and need a reference book with non-technical illustrations, practical work tools and methods, and concrete examples, plus instructions that can be used directly in daily work
Neurosymbolic AI
An up-to-date and expert discussion of neuro-symbolic artificial intelligence development In Neuro-symbolic AI: Foundations and Applications, a team of distinguished researchers delivers a comprehensive overview of the emerging field of neuro-symbolic artificial intelligence. Expert contributors explain the integration of symbolic representations with neural networks, demonstrating state-of-the-art practices in the field. The book fosters collaboration amongst diverse disciplines and promotes a deeper understanding of the challenges posed by deep learning, including generalizability, explainability, and robustness. It is an authoritative, self-contained reference text that provides a solid foundation for newcomers to the field as well as seasoned researchers and developers. Readers will find: A systematic perspective on the foundations of neuro-development AI system developmentComprehensive explorations of key concepts in neuro-symbolic artificial intelligenceDiscussions of real-world applications of neuro-symbolic AI in fields such as healthcare, finance, autonomous driving, and the militaryComplete treatments of the foundations of neuro-symbolic AI from multiple disciplinary perspectives, including computer science, software engineering, and academic research Perfect for researchers and professionals in artificial intelligence involved industries, including autonomous driving, military, healthcare, and finance, Neuro-symbolic AI: Foundations and Applications will also benefit students of computer science, software engineering, data science, and machine learning. Alvaro Velasquez, PhD, is a Program Manager at Defense Advanced Research Projects Agency. He is also a Visiting Professor in the Department of Computer Science at the University of Colorado Boulder. Houbing Herbert Song, PhD, is a Tenured Associate Professor, Director of the NSF Center for Aviation Big Data Analytics (Planning), an Associate Director for Leadership of the DOT Transportation Cybersecurity Center for Advanced Research and Education, and Director of Security and Optimization for the Networked Globe Laboratory at the University of Maryland. Pradeep Ravikumar, PhD, is an Assistant Professor in the Department of Computer Science at the University of Texas at Austin. S. Shankar Sastry, PhD, is a Professor of Electrical Engineering and Computer Sciences, Bio-Engineering, and Mechanical Engineering at the University of California, Berkeley. Sandeep Neema, PhD, is a Professor in the Department of Computer Science and the Director of the Institute for Software Integrated Systems at Vanderbilt University.
AI for Gig Workers
How freelancers can harness AI to stabilize income and build sustainable careers Even as the gig economy employs millions around the world, it remains confusing, unpredictable, and intensely competitive. Meanwhile, AI tools have become accessible enough to transform how independent workers operate—but most freelancers lack the guidance to use them effectively. AI for Gig Workers delivers a practical framework for integrating artificial intelligence into everyday freelance operations. This book covers using AI for client acquisition, project management, personal branding, and overhead reduction. Each section includes hands-on exercises and real-world use cases drawn from actual gig worker experiences. It’s packed with essential solutions for everyday problems layered into a comprehensive gig work strategy that’s effective in the real world and adaptable enough to keep up with rapid, constant transformation. Whether you’re a rideshare driver, freelance designer, delivery worker, or independent consultant, this book provides actionable strategies to work smarter and earn more consistently. For gig workers ready to stop figuring everything out alone and start building sustainable careers, this is the resource that will help you maximize your income, take control of your schedule, and rediscover the most rewarding parts of your job. The book also helps you earn Northeastern University digital badges that validate your new skills. A new, AI-powered compass for freelancers, gig workers, and contractors trying to navigate the gig economy For many of us, working is no longer characterized by traditional employment contracts – with all their built-in protections and benefits – 9-to-5 schedules, and in-person workplaces. If you’re a gig worker, freelancer, or contractor, you’re probably more likely to experience confusing digital platforms, unpredictable income, inconsistent workloads, and confusing career paths. It’s not all bad, but it’s a complicated way to earn a living. AI for Gig Workers: Essential Strategies to Transform Your Freelance Career is a one-of-a-kind strategy guide for gig workers, freelancers, and independent contractors interested in transforming the way they navigate the gig economy. It explains how to use the latest commercially available artificial intelligence-powered tools to solve common, serious, and even just-plain-annoying problems faced by workers in the new world of work. The authors walk you through how to elevate your personal brand, lower your overhead, and avoid scams and common timewasters with AI tech that’s easy to implement immediately in your solo operation or small business. You’ll find hands-on exercises and real-world examples of the techniques discussed inside that illustrate exactly how they work. Inside the book: A powerful combination of coherent gig work strategy and granular, hands-on solutions for the most grating freelance problemsSpecific techniques for implementing useful AI personal assistants that handle repetitive, time-consuming tasksHow to write clear, structured prompts that will 10x your generative AI results in fields like writing, marketing, analysis, and automation Perfect for everyone in the non-traditional labor market, AI for Gig Workers is a detailed and reality-tested roadmap for freelancers, gig workers, and contractors interested in maximizing their income, taking control of their schedule, and refocusing on the rewarding and creative aspects of their chosen profession. SAIPH SAVAGE, PhD, is an Assistant Professor at Northeastern University’s Khoury College of Computer Sciences, Director of the Northeastern Civic AI Lab, and research collaborator at the National Autonomous University of Mexico (UNAM). Named one of MIT Technology Review’s 35 Innovators Under 35, and one of the Top 20 AI Leaders in Mexico by Forbes magazine, her research focuses on AI solutions for gig worker empowerment. She has held positions at Carnegie Mellon, the University of Washington, Intel Labs, and Microsoft Bing. PAMELA CERDEIRA is a journalist and broadcaster at MVS Noticias and co-founder of Opinión 51, a media platform focused on women’s perspectives. She produces content across radio, YouTube, TikTok, and podcasts, reaching over one million followers. LILIANA SAVAGE is a researcher and consultant specializing in technology design for governments and citizens in the Global South. She serves as a UNESCO AI Ethics Expert Without Borders Consultant.
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.
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.
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
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.
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.