Allgemein
Behind the AI Mask
A hands-on guide to mitigating the risks posed by deepfake technologies In Behind the AI Mask: Protecting Your Business from Deepfakes, experienced technologist and founder of the viral platform, Myster Giraffe, Carl Bogan, walks you through the risks and benefits presented by deepfake technologies. He explains how to stay ahead of the curve on this rapidly evolving tech, showing you how to manage and mitigate the harms caused by maliciously deployed deepfakes. The book demonstrates how deepfake technology has changed recently, the current state of the phenomenon, and the practical steps you can take now to detect deepfakes in real time and catch scammers in the act. You’ll discover early detection strategies that can prevent attacks before they start, as well as simple techniques that permit you to embrace AI technology without experiencing the pitfalls associated with it. Behind the AI Mask is a must-read for managers, executives, and other business leaders who are ready to set up effective defenses against the reputational and financial harms caused by deepfakes. It’s packed with tangible, practical strategies you can implement immediately in any industry. A practical, hands-on guide to navigating deepfake technology and reducing the risks it poses to your business In Behind the AI Mask: Protecting Your Business From Deepfakes, technologist and founder of viral platform, Myster Giraffe, Carl Bogan, explains the dangers, benefits, and potential of deepfake technology. He walks you through how to stay ahead of the risks that businesses face from maliciously deployed deepfake technology, showing you exactly how the tech has evolved and the practical steps you need to take to detect deepfakes in real time and catch scammers in the act. You'll find practical strategies that will save your company time and money and protect against long-lasting reputational harms. You'll also discover early detection strategies that stop incidents before they even begin. Inside the book: The future of artificial intelligence and deepfake tech — learn what's coming next in AI innovationTechniques for embracing AI technology without running afoul of the pitfalls that come along with itStraightforward and accurate explainers of what exactly deepfakes are, how they're used (both legitimately and maliciously), and how they can harm your company An essential and timely resource for managers, executives, and business leaders, Behind the AI Mask is a must-read for everyone worried about the reputational and financial risks posed by deepfakes and those looking for tangible, practical ways to mitigate those risks. CARL BOGAN pioneered viral deepfake technology as creator of Myster Giraffe, generating hundreds of millions of views across social media. With over 20 years in visual effects for Disney, Paramount, Apple, Google, and Sony, he brings a unique perspective to deepfake defense—understanding how these illusions are crafted from the artist’s side, not the IT department. He has taught workshops internationally, including at Cisco, helping organizations see deepfake threats through the eyes of the creators who build them.
AI in Business For Dummies
Unlock productivity and profit with AI AI is suddenly a must-have in today’s business world. AI in Business For Dummies shows you what AI can do for your organization. This practical, jargon-free guide explains how AI works and how you can use it to boost your competitive edge. With step-by-step guidance, you’ll learn to harness AI wins—better decision-making, quicker content generation, more personalized customer interactions, and beyond—without sacrificing the human element. Get on the AI train and future-proof your business with this easy-to-use Dummies guide. Inside… Grasping AI basicsWinning customers with AISpeeding up innovationGetting your team on boardStaying legal and ethicalAvoiding common pitfallsPreparing for the next wave of new AI technologies Create an AI strategy that best fits your business You've heard about how artificial intelligence will revolutionize business, but maybe you're not sure how it will revolutionize your business. In AI in Business For Dummies, AI researcher and consultant Jeffrey Allan delivers clear insight into the capabilities of AI, the AI tools that get the job done, and how to best put artificial intelligence to work in your company. Using the book's step-by-step instructions, you'll learn how to build the latest AI tech in your business strategies. You'll also discover real-world examples of effective AI implementations in tasks like workflow automation, closing sales, handling data analytics, and driving innovation. The book also dives into ideas on how to get your staff and colleagues on board as well as how to use AI in an ethical manner. AI in Business For Dummies also includes: A breakdown of the essentials of AI technology and how each intersects with business useWays to avoid common business AI mistakes and pitfallsTips on future-proofing your AI investment Perfect for managers, executives, entrepreneurs, founders, and other business leaders, AI in Business For Dummies is a must-read resource for anyone with an interest in taking advantage of the newest, most exciting technologies in business. Dr. Jeffrey Allan directs the Institute for Responsible Technology and Artificial Intelligence at Nazareth University, developing AI-focused degree programs. An expert in AI and psychology, he’s advised Fortune 500 firms and Silicon Valley startups, and he coauthored Writing AI Prompts For Dummies.
Agentic AI For Dummies
Implement autonomous AI that thinks for itself Ready to discover AI that doesn’t just respond but thinks, plans, and acts independently? Agentic AI represents the next evolutionary leap in artificial intelligence – systems that plan their own path, make strategic decisions, learn as they go, and solve complex problems without constant human guidance. This book shows you how agentic systems work, where they’re effective, and how they’ll transform your business and daily life. From autonomous healthcare diagnostics to self-managing business operations, you’ll explore the exciting possibilities that come with truly autonomous AI. Inside… Separate Agentic AI hype from realityExplore underlying architecture, models, and protocolsDiscover Agentic AI use casesOptimize your business operationsNavigate ethical and governance issuesDesign agentic systems responsiblyUpgrade your AI-engagement skillsPrepare for changes to your business An easy-to-follow guide to demystifying Agentic AI, the next step in the evolution of artificial intelligence Agentic AI is the next big leap in artificial intelligence. Agentic systems don't just respond to commands. They set goals, make decisions, and take initiative without direct human interaction. Sound like a lot to wrap your head around? Fortunately Agentic AI For Dummies is here to help you gain understanding of this advancing technology. Written by the author of ChatGPT For Dummies and Generative AI For Dummies, this easy-to-understand tech guide helps you take your first steps into Agentic AI. Get insight into the technologies driving Agentic AI, a road map for shifting from legacy systems to Agentic systems, and a tour of real-world use cases for Agentic AI. This books arms you with an understanding to make better decisions about how and when to use Agentic AI technologies. Inside the book: Discussions of the technological foundations of agentic AIExplorations of the wide variety of applications of the AI agents, including in scientific research, innovation, business operations, healthcare, and moreInsightful examinations of the ethical considerations and hurdles you'll need to navigate when it's time to deploy agentic AI in your company Perfect for business owners, entrepreneurs, managers, executives, professionals and team leaders in the private sector, Agentic AI For Dummies is a hands-on toolkit and strategy guide for using autonomous AI solutions to solve hard problems in your organization. Pam Baker has nearly two decades of experience as a tech journalist, consultant, and trainer. She’s the author of ChatGPT For Dummies and Generative AI For Dummies. Based in metro Atlanta, she helps readers navigate emerging technologies with clarity and practical insights.
Lessons from the Frontlines
“Reading this book feels like sitting down with a trusted mentor who has lived through every security challenge you can imagine. Assaf writes with the simplicity and authenticity of someone who’s been in the trenches, made hard calls, and learned from both wins and setbacks.” —ROSS HALELIUK, Security Industry Expert “Building and sustaining security in major enterprises is much more than a technical discipline. Rather, it’s an intense leadership challenge balancing influence, grit and team building. Assaf’s personal journey revealed in this book contains lessons for all security professionals—whether you are starting out or an established leader you will love this.” —PHIL VENABLES, Former CISO at Goldman Sachs and Google Cloud, and a VC Partner Master the human skills that effective cybersecurity leaders need with actionable advice from a 25+ year veteran of the industry In Lessons from the Frontlines: Insights from a Cybersecurity Career, Chief Security Officer at Qualtrics, Assaf Keren, draws on over 25 years’ experience in cybersecurity to offer clear, actionable guidance for leading cybersecurity teams. Keren tackles the most pressing problems security leaders face, including execution under pressure, burnout, organizational resistance, and the gap between technical rigor and business reality. He shows you how to address these challenges by replacing permission-seeking with intent-based action, communicating risk with realistic hope, and building teams that thrive amid nonstop change. The book develops personal foundations (curiosity, grit, optimism), core leadership competencies (execution, change management, business and finance acumen, diplomacy, and communication), the human side of leadership (mental health, self- care, community), and strategic scale (leading diverse organizations, product thinking in security). Real-world stories—from incident command to rebuilding global security operations, and a case study on generative AI adoption—pair with frameworks you can apply immediately. Perfect for current and aspiring CISOs, security directors, and team leads, Lessons from the Frontlines is also a must-read for all technical and business professionals interested in achieving or understanding cybersecurity leadership roles. Transform your approach to cybersecurity leadership with specific, actionable techniques from a 25+ year veteran of the industry In Lessons from the Frontlines: Insights from a Cybersecurity Career, a 25+ year veteran of cybersecurity leadership, Assaf Keren, delivers an essential new approach to leading cybersecurity teams. Keren combines engaging, real-life stories drawn from decades spent in the industry – including his current role as Chief Security Officer at Qualtrics and former Chief Information Security Officer in PayPal – with hands-on, specific frameworks for implementing effective solutions in an environment that doesn’t tolerate error. Lessons from the Frontlines goes beyond generic theory and high-level concepts. It dives deep into practical strategies for working cybersecurity professionals, explaining how to develop the personal characteristics you’ll need to succeed, build leadership competencies your teams will expect from you, address your own mental and physical health needs so you can deal with the challenges you’ll face, and apply all these lessons at scale in organizations of any size. The author walks you through: How to move from permission-seeking approaches to intent-based action that allows you to execute solutions in dynamic environments in real timeStrategies for maintaining optimism and a healthy outlook that permits you to endure difficult periods and excel in adversityTechniques for building proactive, forward-thinking, and creative solutions that achieve more than reactive and defensive responses to threats Perfect for practicing and aspiring cybersecurity executives, Lessons from the Frontlines is a must-read strategy guide for all cybersecurity practitioners and professionals interested in rising to – or excelling in – cybersecurity leadership roles. ASSAF KEREN is the Chief Security Officer at Qualtrics and the former Chief Information Security Officer at PayPal. He has more than 25 years’ experience working in the cybersecurity industry as a practitioner and leader and has been involved in military intelligence, startups, Fortune 500 companies, and boards of directors.
The Practical Guide to Large Language Models
This book is a practical guide to harnessing Hugging Face's powerful transformers library, unlocking access to the largest open-source LLMs. By simplifying complex NLP concepts and emphasizing practical application, it empowers data scientists, machine learning engineers, and NLP practitioners to build robust solutions without delving into theoretical complexities. The book is structured into three parts to facilitate a step-by-step learning journey. Part One covers building production-ready LLM solutions introduces the Hugging Face library and equips readers to solve most of the common NLP challenges without requiring deep knowledge of transformer internals. Part Two focuses on empowering LLMs with RAG and intelligent agents exploring Retrieval-Augmented Generation (RAG) models, demonstrating how to enhance answer quality and develop intelligent agents. Part Three covers LLM advances focusing on expert topics such as model training, principles of transformer architecture and other cutting-edge techniques related to the practical application of language models. Each chapter includes practical examples, code snippets, and hands-on projects to ensure applicability to real-world scenarios. This book bridges the gap between theory and practice, providing professionals with the tools and insights to develop practical and efficient LLM solutions. What you will learn: What are the different types of tasks modern LLMs can solveHow to select the most suitable pre-trained LLM for specific tasksHow to enrich LLM with a custom knowledge base and build intelligent systemsWhat are the core principles of Language Models, and how to tune themHow to build robust LLM-based AI Applications Who this book is for: Data scientists, machine learning engineers, and NLP specialists with basic Python skills, introductory PyTorch knowledge, and a primary understanding of deep learning concepts, ready to start applying Large Language Models in practice.
Generative KI-Systeme entwickeln
Von der Idee zur KI-Anwendung – praxisnah und fundiert Ein Leitfaden für alle wesentlichen Aspekte der Entwicklung generativer KI-Systeme, inklusive Prompt Engineering, RAG, Finetuning und Agenten Das Buch bietet ein Framework für den Einsatz von KI in realen Anwendungen Es deckt den kompletten Entwicklungszyklus von KI-Systemen ab, von der Modellentwicklung bis zum produktiven Betrieb In diesem Praxishandbuch beschreibt Bestsellerautorin Chip Huyen die Werkzeuge des KI-Engineerings und den Prozess der Erstellung von KI-Anwendungen mithilfe generativer Foundation Models. Das Buch deckt den kompletten Entwicklungszyklus von KI-Systemen ab, von der Modellentwicklung bis zum produktiven Betrieb. Entwickler und Entwicklerinnen von KI-Anwendungen erfahren, wie sie sich in der KI-Landschaft zurechtfinden – bei Modellen, Datensätzen, Bewertungs-Benchmarks und der scheinbar unendlichen Zahl von möglichen Anwendungsmustern. Das Buch bietet damit einen praxisorientierten Rahmen für die Entwicklung produktionsreifer generativer KI-Systeme – mit klarem Fokus auf aktuellen Tools, Herausforderungen und Potenzialen im KI-Engineering. Erfahren Sie, was KI-Engineering ist und wie es sich vom traditionellen Machine-Learning-Engineering unterscheidet Machen Sie sich mit dem Prozess der KI-Anwendungsentwicklung vertraut und lernen Sie die typischen Herausforderungen sowie mögliche Lösungsansätze kennen Erkunden Sie verschiedene Techniken zur Modellanpassung wie Prompt Engineering, RAG, Finetuning, Agenten und Dataset Engineering und verstehen Sie deren Funktionsweise Untersuchen Sie die Engpässe hinsichtlich Latenz und Kosten bei der Bereitstellung von Foundation Models und lernen Sie, wie Sie diese überwinden können Wählen Sie das passende Modell und die richtigen Metriken, Daten und Entwicklungsmuster für Ihre Anforderungen aus
Prompting kurz & gut
Kompakte und intelligente Einführung ins Prompting und in LLMs Verstehen, wie Large Language Models »denken« und sprechen Mit Best Practices und grundlegenden Strategien effektiv prompten Mit fortgeschrittenen Prompting-Techniken wie Systemprompts, benutzerdefinierten GPTs und Meta-Prompting zum Profi werden Mit externen Tools Prompts schneller schreiben und besser verwalten Praxis-Beispiele aus der IT: vom Codieren über Architekturüberlegungen bis zur automatisierten Dokumentation Prompting – klingt einfach, hat es aber in sich. Wer Large Language Models wie ChatGPT, Claude oder Gemini treffsicher und effizient einsetzen will, braucht mehr als nur gute Fragen. Dieses kompakte Buch erklärt, wie Sprachmodelle »denken«, wie Prompts aufgebaut sein sollten – und wie sich mit Strategie, praktischem Know-how und den passenden Tools deutlich bessere Ergebnisse erzielen lassen. Ob Sie neu einsteigen oder Ihr Prompting verbessern möchten: Hier finden Sie fundiertes Wissen, klare Anleitungen und zahlreiche Praxistipps. Verstehen, wie Sprachmodelle funktionieren und wie man mit ihnen kommuniziert Best Practices für wirksame Prompts – praxisnah, präzise und auf den Anwendungsfall zugeschnitten Tools, Workflows und Chatbot-Features für produktiveres Arbeiten Praxisbeispiele aus der IT: von Code über Dokumentation bis Architektur Fortgeschrittene Techniken: Systemprompts, benutzerdefinierte GPTs, Meta-Prompting Rechtliches: Datenschutz, Urheber- und Nutzungsrechte im Blick behalten Mit umfangreichen Cheatsheets
Artificial Intelligence and IoT in Online Education Systems
Design the future of digital education with this essential book that provides a comprehensive guide to leveraging AI and IoT to create dynamic, inclusive virtual learning environments and effectively implement advanced online proctoring solutions. The rapid development of online learning environments and virtual classrooms, coupled with the need for scalable, personalized education systems, has positioned AI as a key enabler of modern education. The advent of these technologies promises to reshape how we deliver, monitor, assess, and evaluate online learning. This book explores these critical intersections of technology and education, emphasizing the potential of AI and IoT not only to optimize outcomes but also to create more dynamic, responsive, and inclusive virtual learning environments. Focusing on problems that can be solved through computer vision, video and audio streaming, class imbalance data, audio-to-text processes, multi-modal and bi-modal aspects, hand-written strokes, text similarity, biomedical ethics, and advancements in machine and deep learning algorithms, this book comprehensively explores the effectiveness of these technologies in online proctoring. This essential guide will equip educators, technologists, administrators, and policymakers with the knowledge and perspective necessary to leverage these technologies effectively. Readers will find the book: Explores various AI tools and techniques adopted for online proctoring examination systems;Covers critical analytical aspects of AI-assisted systems;Describes a variety of experiments leading to uni- and multi-modal systems and IoT-based architecture using computer vision, machine learning, and deep learning algorithms;Discusses the quality assurance and psychological aspects to preserve ethics during examinations. Audience Educational researchers and policymakers, as well as computer scientists working in AI, machine learning, data science, deep learning, computer vision, and statistics. Ramanujam E., PhD is an Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology Silchar, Assam, India. He has contributed significantly to human activity recognition, especially online education and examinations, spam detection, and feature engineering across various domains. His areas of expertise include artificial intelligence, machine learning, deep learning, and ambient intelligence. Chandan Chakraborty, PhD is a Professor in the Department of Computer Science and Engineering at the National Institute of Technical Teachers’ Training and Research, Kolkata, West Bengal, India. He has more than 100 peer-reviewed publications in top journals and holds several patents. He specializes in artificial intelligence, machine learning, deep learning, and biomedical engineering.
Computernetzwerke (9. Auflg.)
Das Standardwerk für Einsteiger:innen und (künftige) Administrator:innen von Computersystemen und -netzwerken Vermittelt das nötige Know-how, um Netzwerke – ob in großen Umgebungen oder zu Hause – von Grund auf zu verstehen und zu betreiben Fundiert, kompakt und verständlich erklärt Mit vertiefenden Exkursen, Beispielszenarien und Fehleranalysen Mit Übungen und Repetitorien Dieses erfolgreiche Standardwerk in der mittlerweile 9. Auflage bietet Ihnen einen fundierten Einstieg in die Grundlagen moderner Computernetzwerke. Nach der Lektüre werden Sie wissen, wie Netzwerke tatsächlich funktionieren, und Sie werden Ihre neu erworbenen Kenntnisse direkt in der Praxis anwenden können. Das Konzept des Buches basiert auf der jahrelangen Erfahrung der Autoren in der Entwicklung und dem Betrieb von Netzwerken. Das Buch vermittelt das nötige Grundwissen, um sich in diesem komplexen Gebiet zurechtzufinden, Fehler zu analysieren und auf dieser Basis ein eigenes Computernetzwerk aufzubauen und zu verwalten. Im Vordergrund steht daher nicht das So sondern das Wie. Diese Neuauflage wurde durchgehend aktualisiert und formal überarbeitet. AUS DEM INHALT // Grundlagen der Netzwerktechnik Geräte und Medien, Glasfaser, Signale OSI-Modell, Netzwerkschichten, Zugriffsverfahren, Sicherheit ARP, VLAN, VPN, virtuelle Geräte, SDN LAN, MAN, WAN, Internet Routing, Uni-, Broadund Multicast Szenarien, Planung, WLAN NAT, PAT, DHCP, TCP/IP, DNS IPv4 und IPv6 Ports, Sockets, Router, Firewall, Verschlüsselung, Netzzugang, Ethernet
Optimierung und Applikation des Lenkungs-Feedbacks in der Fahrsimulation unter Anwendung von künstlicher Intelligenz
In Fahrsimulatoren kommen zur generischen Erzeugung des Lenkradmoments voranging physikalische Modelle zum Einsatz, die nur mit großem Aufwand parametriert werden können und zudem eine hohe Rechenleistung benötigen. Mit Hilfe der hybriden Modellierung werden die Vorteile von physikalischer und Black-Box-Modellierung vereint, so dass künftig Lenksysteme von virtuellen oder existenten Fahrzeugen schnell und einfach erstellt werden können. Vor allem im für das Lenkgefühl relevanten On-Center-Bereich kann ein latenzarmes hybrides Open-Loop-Lenkungsmodell ein authentisches Lenkgefühl für Fahrsimulatoren mit Force-Feedback-System generieren.
Artificial Intelligence Technologies for Smart and Sustainable Urban Transportation
Explores the future of transportation and provides a comprehensive guide to leveraging cutting-edge digital technologies and AI-powered platforms for creating smart, energy-efficient, and sustainable urban transportation systems. As urbanization accelerates globally, transportation has become a major contributor to environmental degradation and climate change. Rising greenhouse gas (GHG) emissions—including carbon dioxide (CO2), methane, ozone, nitrous oxide, and chlorofluorocarbons—pose a serious threat to air quality and environmental sustainability. To counteract these challenges, nations advocate smart, eco-friendly urban mobility solutions. This book presents the latest advancements and transformative trends in urban transportation, emphasizing emerging digital technologies that foster sustainability. The integration of artificial intelligence, 5G and 6G, cybersecurity, the Internet of Things, blockchain, edge computing, and cloud-native infrastructures enhances intelligent and energy-efficient transportation systems. Experts and environmental advocates champion innovative software platforms and solutions essential for modernizing mobility. This book examines the foundational technologies driving this transformation and explores AI-powered platforms and management solutions shaping the future of urban transportation, making it an essential resource for beginners and seasoned professionals alike. Uncovers the innovative features of artificial intelligence in urban transportation, illustrating how integrated platforms enhance operational efficiency and sustainability at both macro and micro levels; Delves into the most common AI techniques and algorithms used in modern urban mobility systems; Focuses on how the evolution of AI paradigms supports real-time decision-making, transforming urban transportation planning and management; Examines the integration of trust management and advanced cybersecurity measures within AI-powered transportation systems; Provides a collection of case studies and detailed analyses of AI-based integrated platforms, offering theoretical perspectives and practical examples of technological advancements and their challenges. Pethuru Raj, PhD is the Chief Architect in the Edge AI division of Reliance Jio Platforms Ltd. He has published more than thirty research papers in peer-reviewed journals, authored and edited forty-two books, and contributed fifty-four book chapters. He focuses on emerging technologies such as the Internet of Things, artificial intelligence model optimization, big and streaming data analytics, and blockchain. Sudesh Yadav, PhD is an Assistant Professor in the Govt. College, Ateli, Distt-Mahendergarh, Haryana, India. She has published and reviewed many research papers in refereed international journals and conferences. Her areas of interest include artificial intelligence, IoT, digital image processing, soft computing and pattern recognition, and natural language processing. Manas Kumar Mishra, PhD is a Professor at the IMS Engineering College, Ghaziabad, Uttar Pradesh, India. He has published more than 80 book chapters and research articles in international journals of repute. His research interests include distributed systems, mobile computing, artificial intelligence, and wireless sensor networks. Satya Prakash Yadav, PhD is an Associate Professor in the Department of Computer Science and Engineering at the Madan Mohan Malaviya University of Technology, Gorakhpur, U.P., India with more than 17 years of experience. He has published four books, two patents, and many research papers in international journals. His research focuses on image processing, information retrieval, digital image processing, feature extraction, information retrieval, C++, C#, and Java. Victor Hugo C. de Albuquerque, PhD is a Professor and Senior Researcher in the Department of Teleinformatics Engineering at the Federal University of Ceará, Brazil. He is a member of the Brazilian Society of Biomedical Engineering. He has experience in biomedical science and engineering, with a focus on applied computing, intelligent systems, visualization and interaction, artificial intelligence, and image processing and analysis.
Microsoft Power BI (2. Auflg.)
Visuelle Datenanalyse leicht gemacht: Von den ersten Balkendiagrammen über Cluster und Trendlinien zu geografischen Analysen auf LandkartenErhalten Sie aussagefähige Prognosen durch vorausschauende ZukunftsanalysenErstellen und teilen Sie interaktive Dashboards und übersichtliche Infografiken Visualisieren Sie Ihre Daten schnell, intelligent und ausdrucksstark mit Power BI, um praktisch umsetzbare Ergebnisse zu erhalten. Alexander Loth und Peter Vogel zeigen Ihnen Schritt für Schritt, wie Sie ganz einfach visuelle Analysen erstellen und so selbst komplexe Datenstrukturen verstehen sowie gewonnene Erkenntnisse effektiv kommunizieren können. Das Buch richtet sich an die folgenden Zielgruppen: Alle, die Zugang zu Daten haben und diese verstehen möchtenFührungskräfte, die Entscheidungen auf Grundlage von Daten treffenAnalysten und Entwickler, die Visualisierungen und Dashboards erstellenangehende Data Scientists Zum Verständnis dieses Buches und dem Erwerb von Power BI-Kenntnissen sind weder besondere mathematische Fähigkeiten noch Programmiererfahrung nötig. Durch die Integration von Copilot wird der Einstieg sogar noch einfacher, da Sie viele Aufgaben durch einfache Anweisungen in natürlicher Sprache erledigen können. Es eignet sich daher auch für Einsteiger und Anwender, die sich dem Thema Datenvisualisierung und -analyse praxisbezogen nähern möchten, ohne ausschweifende theoretische Abhandlungen. Die grundlegenden Funktionen von Power BI werden Schritt für Schritt erläutert und Sie lernen, welche Visualisierungsmöglichkeiten wann sinnvoll sind. Die Autoren zeigen Fallbeispiele auf, die weit über eine »Standardanalyse« hinausreichen und gehen auf Funktionen ein, die selbst erfahrenen Nutzern oft nicht hinlänglich bekannt sind. Sie geben Ihnen außerdem wertvolle Hinweise und Tipps, die das Arbeiten mit Power BI merklich erleichtern. So können Sie zukünftig Ihre eigenen Daten bestmöglich visualisieren und analysieren. Aus dem Inhalt: Einführung und erste Schritte in Power BIDatenquellen in Power BI anlegenVisualisierungen erstellenAggregationen, Berechnungen und ParameterDimensionsübergreifende Berechnungen mit DAX-AusdrückenMit Karten zu weitreichenden ErkenntnissenTiefgehende Analysen mit Trends, Prognosen, Clustern und VerteilungAnalyse auf Autopilot: Berichte und DAX-Formeln mit Copilot erstellenInteraktive DashboardsPower BI als Teil von Microsoft Fabric: das große Ganze verstehenTeilen und Zusammenarbeiten in der Cloud Alexander Loth kommt aus der datenintensiven Kernforschung und arbeitet für Microsoft. Er hat unter anderem einen MBA von der Frankfurt School of Finance & Management und war als Data Scientist am CERN, sowie in der Software-Entwicklung bei SAP tätig. In den letzten Jahren hat er sich auf die Bereiche Digital Transformation, Big Data, Machine Learning und Business Analytics im Umfeld Finanzen und Crypto Assets spezialisiert und berät Unternehmen beim Aufbau von datenzentrischen Strategien. Alexander Loth wurde von der BNN als "der Daten-Verarbeiter" bezeichnet. Er gehört laut Brandwatch zu den einflussreichsten Autoren "rund um das Thema Digitale Transformation". Peter Vogel kommt aus der Experimentalphysik und ist seit 2017 als Berater für Digitalisierung und Daten tätigt. Hierbei unterstützt er Konzerne aus verschiedenen Branchen bei dem Aufbau ihrer Datenstrategie und der Nutzung moderner Analyse-Plattformen für Big Data und Visualisierung.
Cognitive Cyber Crimes in the Era of Artificial Intelligence
Protect your organization from next-generation threats with this comprehensive analysis of cognitive cybercrimes, addressing future legal, ethical, and policy challenges in the age of AI. Cognitive Cyber Crimes in the Era of Artificial Intelligence explores the emerging dimension of cybercrime where artificial intelligence, neuroscience, and cryptography intersect. It introduces the concept of neurocryptic forensics, a novel framework for investigating AI-driven psychological manipulations, deepfake-induced fraud, cognitive hacking, and brainwave-targeted cyber-attacks. As digital threats evolve, cybercriminals are shifting from traditional hacking methods to exploiting human cognition. This book provides a comprehensive analysis of cognitive cybercrime techniques and equips readers with methodologies to detect, prevent, and mitigate such threats. It serves as a guide for researchers, cybersecurity professionals, forensic analysts, policymakers, and AI developers who aim to secure both digital infrastructures and human perception against next-generation cyber threats. Rajesh Kumar Chakrawarti, PhD is a Professor and the Director at the Sushila Devi Bansal College of Technology in the Bansal Group of Institutes, Indore with more than 21 years of academic and industry experience. He has attended more than 100 conferences and published more than 100 research papers, book chapters, and abstracts in national and international journals and conferences. His research areas include compiler design, natural language processing, computational linguistics, machine translation, and word-sense disambiguation. Romil Rawat is a researcher at the Research Laboratory in Geomatics and Information Systems, part of the National Research Council in Rome and a Professor at Shri Vaishnav Vidyapeeth Vishwavidyalaya. He has published more than 15 research papers in international journals and conferences and more than ten books. His work focuses on the development of state-of-the-art machine learning algorithms aimed at detecting, predicting, and mitigating criminal activities across social networks. Kriti Bhaswar Singh, PhD is an Associate Professor in the Department of Commerce and Financial Studies in the School of Management Sciences at the Central University of Jharkhand with more than 20 years of teaching and corporate experience. He has published four books and 36 research papers and book chapters on various areas of finance in refereed journals and presented 23 papers in various conferences. His research focuses on the capital market, corporate finance, and valuations. A. Samson Arun Raj, PhD is an Assistant Professor and Internal Placement Coordinator in the Division of Computer Science and Engineering in the School of Computer Science and Technology at the Karunya Institute of Technology and Sciences. He has published more than 25 articles in international journals and conferences of repute. He is engaged in cutting-edge research for smart city development, focusing on drone networks and energy grid applications. Abhishek Singh, PhD is the Director of the Rajiv Academy for Technology and Management with more than 22 years of teaching experience. He has published more 22 research papers in international journals and presented an additional 30 at international conferences. His teachings focus on accounting and finance. Hitesh Rawat is a PhD Research scholar at Shri Vaishnav Vidyapeeth Vishwavidyalaya University with more that eight years of experience. He has chaired international conferences and hosted several research events, including national and international research schools, PhD colloquia, workshops, and training programs. His work focuses on business frameworks for secure communication and cybersecurity. Anjali Rawat is a PhD Research scholar at Shri Vaishnav Vidyapeeth Vishwavidyalaya University with more than eight years of experience. She has chaired international conferences and hosted several research events, including national and international research schools, PhD colloquia, workshops, and training programs. Her research focuses on cyberthreats in online social networks.
Projekt Phoenix - Die Graphic Novel, Band 2
Band 2 des DevOps-Wirtschaftsromans als Graphic Novel¶•Unterhaltsam und spannend: der Bestseller »Projekt Phoenix« jetzt im visuellen Format¶•Illustriert von Comic-Artist Mike Collins, der fast alle berühmten Comicfiguren wie X-Men, Batman, Spider-Man oder Superman gezeichnet hat¶•Wie geht es mit »Parts Unlimited« weiter? Das Überleben des Unternehmens steht immer noch auf dem Spiel. Bill muss sich mit schmerzhaften Wahrheiten über technische Schulden, organisatorische Dynamiken und mit den »Drei Wegen« auseinandersetzen¶•Erscheint in drei Bänden¶Die Krise bei Parts Unlimited ist noch lange nicht vorbei: Schaffen Bill und sein Team es rechtzeitig, ihre Umstrukturierungen abzuschließen? Und was werden sie dabei lernen? Band 2 der Adaption des beliebten IT-Romans setzt den spannenden Schlagabtausch zu IT-Management, DevOps und der digitalen Transformation aus Band 1 fort. Durch lebendige Illustrationen und packende Dramatik werden wichtige Lektionen über Flow, Feedback und kontinuierliche Verbesserung vermittelt, die alle ansprechen, die Veränderungen in ihrem Unternehmen bewirken wollen.
AI Agents at work
AI Agents are coming, and it may happen faster than you think. This book explains what AI Agents are, what the risks are, and what opportunities they bring. We show you how to prepare yourself and your organization for the arrival of AI Agents. We, Maurits and Joris, first met in 2008 at Stanford University, where we were both working on our PhDs in AI. In recent years, we have once again immersed ourselves in AI Agents—reading, experimenting, and building our own. And yes, the hype is big. But behind the hype lies a future that will fundamentally change how we think about work. And of course, this book itself is also a collaboration with several AI Agents. In this book, you'll learn: How AI Agents really work (without the buzzwords) Which risks you need to manage (hallucinations, privacy, regulation) How your organization can develop AI maturity Successful real-world cases and future scenarios
Advanced Forecasting with Python
Advanced Forecasting with Python, Second Edition, is a comprehensive and practical guide to mastering modern forecasting techniques using Python. Designed for data scientists, analysts, and machine learning practitioners, this updated edition bridges the gap between classical forecasting models and cutting-edge, AI-powered techniques that are reshaping the field. The book begins with foundational models like AR, MA, ARIMA, and SARIMA, offering intuitive and mathematical explanations alongside hands-on Python implementations. It then expands into multivariate models (VAR, VARMAX), supervised machine learning (Random Forests, XGBoost, LightGBM, CatBoost), and deep learning architectures such as LSTMs, NBEATS, and Transformers. Each chapter not only teaches the theory and code but also tracks model performance using MLflow, enabling efficient benchmarking and experimentation management. The second edition stands out for its extensive new content. Readers will now explore Orbit by Uber, AutoGluon by AWS, Prophet by Meta, Microsoft Azure AutoML, Google GCP AutoML, and TimeGPT by Nixtla, equipping them with the latest tools from top cloud providers. These additions make sure that readers stay current in an ever-evolving landscape. Moreover, the new chapters highlight practical deployment strategies and trade-offs between performance, explainability, and scalability. Whether you are just beginning your forecasting journey or seeking to enhance your expertise with state-of-the-art tools and cloud-based solutions, this book offers a rich, hands-on learning experience. With step-by-step Python examples, detailed model insights, and modern forecasting workflows, it is an indispensable resource for staying ahead in the realm of predictive analytics. You Will: Build robust forecasting solutions using PythonGain both intuitive and mathematical insights into traditional and cutting-edge forecasting models Master model evaluation through cross-validation, backtesting, and MLflow-based trackingLeverage cloud-based platforms and Model-as-a-Service tools for scalable forecasting deployments Who this book is for: This book is ideal for data scientists, analysts, and ML practitioners working on real-world forecasting problems. It suits both intermediate learners and experienced professionals looking to master state-of-the-art forecasting techniques. PART I: Machine Learning for Forecasting.- Chapter 1: Models for Forecasting.- Chapter 2: Model Evaluation for Forecasting.- Chapter 3: Model Management and Benchmarking using MLflow.- PART II: Univariate Time Series Models.- Chapter 4: The AR model.- Chapter 5: The MA model.- Chapter 6: The ARMA model.- Chapter 7: The ARIMA model.- Chapter 8: The SARIMA model.- PART III: Multivariate Time Series Models.- Chapter 9: The SARIMAX model.- Chapter 10: The VAR model.- Chapter 11: The VARMAX model.- PART IV: Supervised Models.- Chapter 12: The Linear Regression.- Chapter 13: The Decision Tree Model.- Chapter 14: The kNN model.- Chapter 15: The Random Forest.- Chapter 16: Gradient Boosting with XGBoost, LightGBM, and CatBoost.- Chapter 17: Bayesian Models with pyBATS.- PART V: Neural Networks.- Chapter 18: Neural Networks.- Chapter 19: RNNs using SimpleRNN and GRU.- Chapter 20: LSTM RNNs.- PART VI: Black Box and Cloud Based Models.- Chapter 21: The NBEATS model with Darts.- Chapter 22: The Transformer model with Darts.- Chapter 23: The NeuralProphet model.- Chapter 24: The DeepAR model and AWS Sagemaker AI.- Chapter 25: Uber's Orbit Model.- Chapter 26: AutoML with Microsoft Azure.- Chapter 27: AutoML with Vertex AI on Google Cloud Platform.- Chapter 28: Nixtla Suite and TimeGPT.- Chapter 29: Model Selection.
Performance Intelligence
Dieses Buch zeigt, wie Unternehmen durch die gezielte Verbindung von Künstlicher Intelligenz und Daten ihre Performance systematisch steuern und optimieren, um dadurch Wettbewerbsvorteile entlang der gesamten Wertschöpfungskette erzielen zu können. Unternehmen stehen heute unter erheblichem Kostendruck und müssen nachhaltig Effizienzpotenziale realisieren. Gleichzeitig steigt die Komplexität in globalen Märkten, wodurch digitale Entscheidungsunterstützung weiter an Relevanz gewinnt. In diesem Kontext spielen Künstliche Intelligenz und die Verfügbarkeit geeigneter Daten eine zentrale Rolle. Eine integrierte Strategie für KI und Daten ist hierbei ein wichtiger Erfolgsfaktor. Die Autor:innen bieten mit Beiträgen rund um Performance Intelligence einen praxisorientierten Rahmen und zeigen auf, dass Künstliche Intelligenz in Verbindung mit Daten in vielfältiger Weise und in allen Bereichen im Unternehmen Mehrwert stiftet. Das Werk gliedert sich in drei Teile: Der konzeptionelle Rahmen liefert hierbei eine fundierte Einführung in die grundlegenden Konzepte, Strategien und Betriebsmodelle für den Einsatz von KI im Performance Management. Im zweiten Teil stehen praxisnahe Anwendungsfälle aus zentralen Unternehmensfunktionen im Fokus – von Strategie und Controlling über Einkauf, Produktion und Vertrieb bis hin zu Finance und Supply Chain. Der abschließende Teil widmet sich organisatorischen Konzepten von KI-Transformationen und zeigt auf, wie Unternehmen durch gezielte Umsetzung und Verankerung langfristigen Erfolg sicherstellen können. Der Inhalt Konzeptioneller Rahmen – KI und DatenstrategieFunktionale KI-Anwendungsfälle und Erfolgsgeschichten entlang der WertschöpfungsketteOrganisatorische Umsetzung und Ausblick 1 Wie KI und Daten Performance Management und Optimierung verändern.- 2 KI- und Datenstrategie.- 3 KI- & Daten-Betriebsmodell: Organisation, Governance und Kultur als Schlüssel zum Erfolg.- 4 Von Compliance zur zukunftsorientierten KI-Adaption – Wie Unternehmen regulatorische Sicherheit gewährleisten und KI erfolgreich implementieren.- 5 Kernkomponenten der Künstlichen Intelligenz: Algorithmen, Daten und Infrastruktur.- 6 Integriertes Change-Management – Der Mensch im Fokus der KI-Technologie.- 7 KI als Gamechanger moderner Strategie- und Innovationsarbeit.- 8 Risikomanagement transformiert: Nutzung von künstlicher Intelligenz für Innovation und zukünftige Trends.- 9 Next Generation Performance Management - KI als Schlüssel zum Erfolg im Controlling.- 10 Einkauf – Optimierung entlang des Einkaufsprozesses mit KI und Daten.- 11 KI als Treiber für die nachhaltige Optimierung von Profitabilitäts- und Kostenstrukturen in der Produktion.- 12 Vertrieb & Pricing: Der Vertriebs-Funnel als Kompass für KI-gestützte Anwendungsfälle.- 13 KI als Wegbereiter zu Effizienz und Komplexitätsbeherrschung im Supply Chain Management.- 14 Finance und KI: Zwischen Effizienz und Herausforderung.- 15 Einbettung in die Unternehmenskultur.- 16 Entwicklung eines Target Operating Models für die erfolgreiche Wertschöpfung durch KI.- 17 Gesamtfazit: Ausarbeitung einer konkreten Roadmap als zentrale Basis für die Transformation.
Designforschung und KI
Künstliche Intelligenz ist weit mehr als eine simple Technologie – sie prägt Bilder, Narrative und unsere ästhetisch-symbolische Kultur. Dieser Band zeigt erstmals systematisch, wie Designforschung auf die Dynamiken generativer Systeme reagiert und sich gleichzeitig positioniert: kritisch, experimentell und interdisziplinär. Von visueller Kommunikation über Interfacegestaltung bis hin zu spekulativen Entwürfen untersuchen die Beiträge, wie KI Bedeutung erzeugt, Gestaltungsnormen transformiert und gesellschaftliche Machtverhältnisse neu ordnet. Im Zentrum steht das Konzept des Techno-Imaginären: KI als kulturelles Dispositiv jenseits technischer Funktionalität. Ein unverzichtbares Buch für alle, die Gestaltung, Medien und Technologie im Zeitalter algorithmischer Systeme neu denken wollen. Einleitung.- Designforschung und KI.- Visual Communication as an Experimental Ground of the Visual.- Anthropomorphe Interfaces.- Der Latent Space als kulturelles Archiv.- Augmented Creativity.- Künstliche Intelligenz in der Designlehre.- Partizipative Designpraktiken für verkörperte Künstliche Intelligenz.- Manual and Artificial Intelligence.- KI als Designmedium?.- Archives Digitally Reloaded.- Taboo. Überbrückung von Design, KI und der Politik der Materialist durch Leigh Bowers Vermächtnis.- Gute Zeiten für schlechtes Design.
Resiliente krisenrelevante Versorgungsnetze
Seit Beginn der SARS-Covid-Pandemie veranschaulichten Krisen und Katastrophen die Anfälligkeit der Versorgungsnetze von Gesellschaft und Wirtschaft. Pandemien erfordern die schnelle Versorgung mit medizinischer Schutzausrüstung, Testverfahren und Impfstoffen. Durch den Klimawandel bedingte Naturkatastrophen und Extremwetter, wie Überflutungen, langandauernde Vegetationsbrände oder sinkende Pegel der Wasserwege, verursachen materielle und finanzielle Schäden, aber auch schlimmstenfalls den Ausfall von Transportwegen. Menschliches Versagen, politische Konflikte oder Kriege führen zu Verzögerungen in den Distributionskanälen und zur Verknappung von krisenrelevanten Gütern. Das Projekt ResKriVer (Resiliente krisenrelevante Versorgungsnetze) hat Auswirkungen von für Deutschland antizipierbaren Krisen- und Katastrophensituation untersucht und Lösungsansätze entwickelt, um die Resilienz von Wirtschaft und Gesellschaft zu steigern. Projektfokus waren: Analyse und Simulation von Lieferketten krisenrelevanter GüterVerbesserung der Versorgung mit BlutkonservenUnterstützung von Krisenstäben bei der LagebilderhebungVerbesserung der Kommunikation mit der BevölkerungEntlastung von Kliniken durch telemedizinische Überwachung von Risikopatienten Neben der Analyse der Bedarfe, der Untersuchung der Umsetzbarkeit, der Realisierung von Prototypen und Demonstratoren wurde ein Ökosystem von digitalen Services entwickelt, die zukünftige Umsetzungen von resilienten Vorsorgemaßnahmen vereinfachen. Das Buch stellt die Ergebnisse in allgemeinverständlicher Form vor. Einleitung.- Rechtliche Rahmenbedingungen der Datenerhebung.- Erhebbarkeit von Daten.- Use Case: Versorgungsnetze von KRITIS am Beispiel von Rettungsdiensten.- Kollaboratives Lieferketten-Risikomanagement.- Modellierung, Erfassung und Analyse von Lieferketten.- Simulationsbasierte Evaluierung von Versorgungssicherheit in Liefernetzwerken.- Bedeutung von Lieferketten im Krisenmanagement.-Ressourcenmangel über Gebietskörperschaften hinweg ausgleichen.- Entwicklung und Evaluierung eines Notfallkonzepts zur Sicherstellung der Versorgung der Bevölkerung mit Blutprodukten im Fall von Pandemien und Katastrophen.- Social Media Monitoring in Krisensituationen.- KI-Technologie zur Unterstützung des Drohneneinsatzes bei Feuerwehren.- Prognose der Ausbreitung von Vegetationsbränden.- Informationsplattformarchitektur für resiliente krisenrelevante Versorgungsnetze.- Terminologie-Editor.- Templatebasierte Modellierung von Lieferketten.- Design Futuring trifft Akzeptanzforschung: Eine interdisziplinäre Brücke zu einer zukunftsgestaltenden Haltung.
AI and ML Techniques in IoT-based Communication
An insightful and up-to-date discussion of how to use contemporary IoT and AI technology to advance sustainable development initiatives In AI and ML Techniques in IoT-based Communication: A Path to Sustainable Development Goals, a team of distinguished editors presents an astute discussion of the importance of connected devices and intelligent algorithms in the generation of innovative solutions to global challenges. The book explains how to exploit the synergy between Internet of Things (IoT) and artificial intelligence (AI) technologies to further the United Nations’ Sustainable Development Goals (SDGs). Readers will learn how to enable smarter, data-driven approaches to difficult global problems, including climate change, inadequate health care delivery, and energy inefficiency. Expert contributors explore emerging trends, potential pitfalls, and likely future developments in IoT, AI, and machine learning (ML) in sustainable development. Additional topics include: A thorough introduction to IoT communication protocols and standards relevant to sustainable development Comprehensive explorations of artificial intelligence and machine learning techniques for enhancing IoT-based communication Practical discussions of water resource and energy management, sustainable agriculture, and sustainable transportation and logistics Complete treatments of AI-driven communication optimization for sustainability Perfect for academics, researchers, industry practitioners, and policymakers with an interest in IoT, AI, ML, and their applications to sustainable development, AI and ML Techniques in IoT-based Communication will also benefit professionals working at non-profit and non-governmental organizations focused on advancing sustainable development initiatives. Sumita Mishra, PhD, is an Assistant Professor in the Electronics and Communication Engineering Department at the Amity School of Engineering and Technology, Amity University Uttar Pradesh, Lucknow Campus, India. Nishu Gupta, PhD, is a Senior Scientist in the Future Communication Networks research unit at the VTT Technical Research Centre of Finland Ltd., Oulu, Finland. Polat Goktas, PhD, is an Assistant Professor at the Faculty of Engineering and Natural Sciences, Sabancı University, Turkey.
Design and Deploy Microsoft Azure Sentinel for IoMT
Microsoft Sentinel for Internet of Medical Things (IoMT) provides advanced threat detection, investigation, and automated response for connected medical devices, guaranteeing real-time protection in healthcare environments. The book guides you to deploy, and optimize Microsoft Sentinel specifically for IoMT environments, guaranteeing the protection of critical medical systems and patient data. The book starts with introducing the fundamental concepts of Sentinel, its role in securing IoMT, and the latest advancements in healthcare cybersecurity. Architecting and Deploying Microsoft Sentinel focuses on designing a Sentinel workspace tailored for IoMT, integrating medical device logs, and applying Zero Trust principles to secure connected healthcare environments. Engineering Microsoft Sentinel for Security Operations explores how security engineers can configure analytics, automate threat response, and optimize Security Operations Center (SOC) workflows to mitigate IoMT-specific threats, such as ransomware attacks on medical devices or unauthorized access to patient records. Finally, Threat Detection, Investigation, and Response provides practical techniques for security analysts, including crafting detection rules for IoMT anomalies, investigating incidents involving medical devices, and leveraging Kusto Query Language (KQL) to proactively hunt for threats in healthcare networks. By the end of this book, you will be equipped to design, implement, and operate a comprehensive security framework for IoMT environments using Microsoft Sentinel. What You Will Learn: Design and deploy a Microsoft Sentinel workspace tailored specifically for IoMT, including integrating medical device logs.Implementing Zero Trust security principles to safeguard connected healthcare systems.Gain practical skills in creating custom detection rules for IoMT devices, investigating security incidents involving medical systemsUnderstanding compliance with key healthcare regulations (such as HIPAA, GDPR, and FDA) Who This Book Is For: Azure Administrators, Network & security administrator. Chapter 1: Get Started with Microsoft Sentinel and IoMT.- Chapter 2: Architecting and Deploying Microsoft Sentinel.- Chapter 3: Engineering Microsoft Sentinel for Security Operations.- Chapter 4: Threat Detection, Investigation, and Response.
Designing Accessible Websites and Applications
Building websites with accessibility in mind is imperative for today’s developers. Accessibility encompasses everything from keyboard navigation and screen reader compatibility to color contrast and error handling, ensuring an inclusive experience for individuals with disabilities affecting vision, hearing, mobility, or cognitive functions. Designing Accessible Websites and Applications guides you through the entire process of creating accessible websites, covering topics like semantic HTML, ARIA roles, implementing keyboard navigation, and designing for users with color blindness. For example, error states or buttons should not rely solely on the color red and success messages need more than just green checkmarks or buttons to be understood by everyone. Whether working on a website, a blog, or online store, applying these principles will help you design truly user-friendly and accessible websites. This book will teach you how to validate color contrast, structure HTML, write accessible JavaScript, and ensure accessible playback of video and audio content. It also provides insights into creating accessible forms and leveraging modern frameworks like React, Vue, and Angular. You Will: Learn how to use ARIA attributes to enhance navigation and interaction for users relying on screen readersDiscover how to use color effectively for used with impaired vision and color blindness, moving beyond color cues to communicate error and success states effectivelyGain insights into developing accessible web applications using modern front-end frameworks like React, Vue, and Angular, while adhering to accessibility principles This book is for: Web developers and designers, UI Developers, freelancers and business owners who need to build and design their own websites or app and need to adhere to accessibility best practices and regulations. Chapter 1: Semantic HTML.- Chapter 2: ARIA.- Chapter 3: Colors and Accessibility.- Chapter 4: Accessible Images.- Chapter 5: Accessible Videos and Audios.- Chapter 6: Accessible Forms.- Chapter 7: SPA Application and Modern Front-End Frameworks and Accessibility.
The Handbook of Artificial Intelligence and Journalism
A Global Overview of AI-Driven Journalism’s Impact on Media Practices As Artificial Intelligence reshapes the media landscape, The Handbook of Artificial Intelligence and Journalism provides the first comprehensive exploration of the intersection between AI technologies and journalism. This foundational volume brings together thirty-seven leading scholars from six continents to examine how AI is redefining the structures, practices, and epistemologies of journalism. Containing rigorous interdisciplinary scholarship and broad geographical coverage, The Hand-book of Artificial Intelligence and Journalism: Integrates theoretical foundations, empirical studies, and practical applications in a cohesive structureOffers insights into journalism practices across a wide range of geographical contexts and engages with approaches that transcends Western-dominated paradigms, incorporating perspectives from the Global SouthEmploys interdisciplinary frameworks to enhance the understanding of AI-driven journalismExamines the sociotechnical dynamics of AI, including its potential benefits and challenges for journalismPresents forward-looking reflections on the future of journalism research in the AI era The Handbook of Artificial Intelligence and Journalism is ideal for undergraduate, graduate, and doctoral students in journalism, communication, and media studies programs. It also serves as a vital reference for researchers, educators, media professionals, and policy advisors engaged in digital journalism, journalism research, media innovation, and public communication. Presents a comprehensive global overview of AI-driven journalism and its transformative impact on media practices As artificial intelligence (AI) continues to reshape the media landscape, The Handbook of Artificial Intelligence and Journalism provides the first comprehensive academic exploration of the intersection between AI technologies and journalism. Edited by Aynur Sarisakaloglu and Martin Löffelholz, this foundational volume brings together 37 leading scholars from six continents to examine how AI is redefining the structures, practices, and epistemologies of journalism. Organized around key thematic areas, the Handbook investigates the driving forces propelling the algorithmic transformation and unveils emerging trends in journalistic practice and journalism research, moving beyond Western-centric perspectives to incorporate diverse global experiences and knowledge production. Twenty-eight original chapters address systemic shifts such as evolving structures of media organizations, changing roles of actors, transformations in news production routines, and shifting patterns of news consumption. By integrating theoretical, empirical, and practical perspectives, the Handbook sets the stage for a new research agenda for understanding AI-driven journalism on a global scale. Containing rigorous interdisciplinary scholarship and broad geographical coverage, The Handbook of Artificial Intelligence and Journalism: Integrates theoretical foundations, empirical studies, and practical applications in a cohesive structureOffers insights into journalism practices across a wide range of geographical contexts and engages with approaches that transcends Western-dominated paradigms, incorporating perspectives from the Global SouthEmploys interdisciplinary frameworks to enhance the understanding of AI-driven journalismExamines the sociotechnical dynamics of AI, including its potential benefits and challenges for journalismPresents forward-looking reflections on the future of journalism research in the AI era The Handbook of Artificial Intelligence and Journalism is ideal for undergraduate, graduate, and doctoral students in journalism, communication, and media studies programs. It also serves as a vital reference for researchers, educators, media professionals, and policy advisors engaged in digital journalism, journalism research, media innovation, and public communication. Dr. habil. Aynur Sarısakaloǧlu is a researcher and lecturer at Technische Universität Ilmenau, Germany. Her research focuses on the transformation of journalism through Artificial Intelligence and automation systems, with a particular interest in sociotechnical developments and interdisciplinary frameworks in media and communication studies. Dr. Martin Löffelholz is Professor of Media Studies at Technische Universität Ilmenau, Germany, and former President of the Swiss German University in Indonesia. He has led numerous research projects and authored or edited 23 books and more than 400 scholarly contributions on communication and journalism.
Linux CLI
Du lernst die Linux Befehlszeile praxisnah und leicht verständlich von Grund auf kennen. Schritt für Schritt arbeitest du Übungen direkt mit mir durch, verwaltest Dateien, nutzt wichtige Tools und schreibst erste Skripte. Am Ende bewegst du dich sicher und schnell im Terminal und automatisierst erste Aufgaben. Du lernst hier die Linux Befehlszeile von Grund auf kennen. Der Einstieg ist leicht verständlich und praxisorientiert, jede Übung baut logisch auf der vorherigen auf. So bekommst du ein Gefühl dafür, wie das System arbeitet und wie du Aufgaben mit wenigen Befehlen schneller erledigst als mit einer grafischen Oberfläche. Alle Übungsdateien kannst du herunterladen. Du arbeitest sie direkt mit mir gemeinsam durch. So lernst du schneller und verstehst jede Aufgabe besser. Du bewegst dich sicher im Dateisystem, legst Dateien und Ordner an, bearbeitest Inhalte und verwaltest sie effizient. Du nutzt wichtige Werkzeuge wie nano und vim, kombinierst Befehle mit Pipes und Umleitungen und schreibst erste eigene Skripte für wiederkehrende Aufgaben. Dabei verstehst du nicht nur die Anwendung, sondern auch die Hintergründe. Egal ob du Linux auf deinem Rechner, in einer virtuellen Maschine oder über WSL verwendest. Am Ende wirst du dich sicher, schnell und souverän auf der Kommandozeile bewegen. Auch erste Automatisierungen mit Cron gehören dazu und zeigen dir, wie viel Zeit du dir damit sparen kannst. Die Befehlszeile bleibt ein zentrales Werkzeug. Sie gibt dir Kontrolle, Geschwindigkeit und ein tiefes Verständnis für dein System. Dieser Kurs führt dich Schritt für Schritt dorthin. Viel Erfolg beim Lernen und Entdecken