Computer und IT
Implementing Identity Management on GCP
"Identity Management on GCP" is a detailed step-by-step guide that helps readers through Identity Management within the Google Cloud Platform (GCP). Even though it is a comprehensive guide to GCP IAM, it provides precise definitions of the main concepts, practical recommendations, and best practices for identity management in cloud environments.The topics described in the book, with the help of clear explanations and examples, include connecting on-premise identity systems to GCP, managing admin and workforce identities, and securing applications running on GCP. It also considers issues of integrating IAM with the business environment and compliance, providing the readers with information on implementing IAM solutions that are effective and can be scaled easily.At the end of the book, the readers will have effectively gained knowledge on GCP IAM and can implement improved security measures and manage and optimize identity processes in their cloud environments effectively. Cloud security specialists, identity engineers, and IT administrators are the primary target audience of this book.YOU WILL:* Understand the core concepts and principles of Identity and Access Management (IAM) in Google Cloud Platform (GCP)* Learn to manage administrative and workforce identities effectively* Implement IAM solutions that align with business needs and regulatory compliance requirementsTHIS BOOK IS FOR: Cloud Security Specialists, Identity Engineers and Compliance Engineers, Site Reliability Engineers, Cloud Architects, Cloud Ops EngineersChapter 1: Introduction to Identity and Access Management on Google Cloud Platform.- Chapter 2: Managing Roles, Policies and Permissions.- Chapter 3: Advanced IAM Features.- Chapter 4: Service Accounts and Workload Identity.- Chapter 5: Securing APIs and Workloads.- Chapter 6: Automating IAM Policies.- Chapter 7: Auditing and Monitoring IAM Policies.- Chapter 8 : Managing Multi-Cloud and Hybrid IAM.- Chapter 9:Securing Sensitive Data with IAM.- Chapter 10: AI-Driven Identity and Access Management.
Business Valuation Across the Industry Life Cycle
This book examines the valuation of internet-enabled businesses across their industry life cycles, demonstrating the shifts in valuation multiples and drivers over time, providing a comprehensive framework to better understand and optimize business valuations. Internet Evolution as Natural Experiment: The internet’s rise – from innovation to necessity, driven by 5G and AI – offers a unique lens on valuation methodologies across industry life cycles.Methodological Approach: Unprecedented quantitative and qualitative research analyzing 1,767 companies globally across 21 industries and 15 years, covering 120 multiples, 216 drivers, and 100 million data points.Valuation Framework: It proposes a groundbreaking framework linking valuation multiples and drivers to industry life cycles, illustrating the shift from revenue- to profitability-based multiples and from growth-centric to growth-and-profitability drivers as companies mature.Practical Implications: It concludes with recommendations for stakeholders on monitoring valuation multiples and drivers for value-maximizing strategies across virtually all mature and emerging technologies.Introduction And Research Objective.- The Research Context And Challenge - The Internet As A Natural Experiment For The Study Of Finance.- Literature Review: Research Hypotheses And Methodology.- Definition And Characterization Of The Research Sample: The Considered Companies And Their Business Models.- Acquisition And Processing Of The Data For The Study.- Descriptive Statistics.- Testing The Hypothesis And The Model (Inferential Statistics).- Conclusions: Original Contributions And Future Research.- References Thesis.
Programmieren lernen
Grundlagen für Studium und Beruf - praxisnah und sprachunabhängig.Sie möchten programmieren lernen, wissen aber nicht, mit welcher Sprache Sie beginnen sollen? Dieses Buch bietet Ihnen einen leicht verständlichen Einstieg in die Welt der Programmierung – ganz ohne Vorkenntnisse. Statt sich auf eine bestimmte Programmiersprache zu beschränken, vermittelt es Ihnen die grundlegenden Konzepte, die in jeder modernen Sprache von Bedeutung sind.Sie lernen Schritt für Schritt die Funktionsweise von Variablen, Schleifen, Verzweigungen, Arrays, Datentypen sowie die Prinzipien der objektorientierten Programmierung mit Klassen und Vererbung kennen. Anhand von einfachen Codebeispielen werden die Inhalte anschaulich erläutert und lassen sich mühelos jede Sprache übertragen.Unabhängig davon, für welche Sprache Sie sich entscheiden, legen Sie mit diesem Buch ein solides Fundament, um Ihre Programmierkenntnisse in der Praxis einzusetzen. Aus dem Inhalt: Grundlagen aller modernen Programmiersprachen Daten abbilden: Variablen, Datentypen, Arrays und Collections Berechnungen und logische Operatoren Programmfluss kontrollieren: Schleifen, Verzweigungen und Funktionen Objektorientierte Programmierung: Klassen, Objekte und Vererbung Entwicklungsumgebung und Fehlersuche Programmieren in der Praxis Entscheidungshilfe für die erste Programmiersprache Übungen mit Lösungen im Anhang Leseprobe (PDF-Link) Über den Autor:Nach fast zwei Jahrzehnten als Programmierer betreut Andreas Hofmann als Scrum Master Softwareteams in der agilen Softwareentwicklung.
3D-Druck - Praxisbuch für Einsteiger (4. Auflg.)
Mit diesem Buch entdecken Sie die nahezu unbegrenzten Möglichkeiten des 3D-Drucks – egal, ob Sie einen eigenen 3D-Drucker besitzen, öffentlich zugängliche Geräte nutzen oder auf Online-Druckservices zurückgreifen. Sie werden Schritt für Schritt an die Technik herangeführt und lernen, wie Sie Ihre eigenen 3D-Objekte gestalten und Druckprojekte realisieren.15 kreative Projekte – direkt zum Nachmachen Das Herzstück des Buchs ist der umfangreiche Praxisteil: 15 vollständige 3D-Druck-Projekte zeigen Ihnen konkret, wie Sie eigene Ideen umsetzen können. Dabei lernen Sie verschiedene Modellierungstechniken, den Umgang mit unterschiedlichen Filamenten sowie Methoden zur Nachbearbeitung und Veredelung kennen.Modelle selbst gestalten oder herunterladen Sie lernen, wie Sie mit kostenloser Software wie Fusion, Blender oder SketchUp eigene Modelle entwerfen und reale Objekte 3D-scannen. Darüber hinaus erhalten Sie viele Tipps, wie und wo Sie fertige Vorlagen finden. Alle im Buch vorgestellten 3D-Modelle stehen zusätzlich auf der Webseite zum Buch zum kostenlosen Download bereit. Aus dem Inhalt: Aufbau und Funktionsweise des 3D-Druckers Schmelzschicht-Druckverfahren im Detail (FDM/FFF) Öffentliche Drucker verwenden 3D-Druckservices Einführung in die 3D-Modellierung 3D-Scan (Infrarot, Fotogrammetrie) Slicer-Programme und Druckparameter 3D-Druck mit und ohne Druckbettheizung Verschiedene Filamente verwenden: PLA, PLA Compound, ABS und mehr Objekte veredeln Troubleshooting und nützliche Tipps Rechtliche Fragen Über den Autor: Thomas Kaffka hat als Softwareingenieur sowie Projektleiter in Softwarehäusern und Wirtschaftsprüfungs- und Beratungsgesellschaften gearbeitet. Er ist ein echter Maker und beschäftigt sich mit verschiedenen Themen wie etwa dem Bau von LEGO®-Robotern, künstlicher Intelligenzforschung sowie dem 3D-Druck.
Design for Reliability und Lebensdauerabsicherung
Die zuverlässige, robuste Gestaltung und Absicherung von mechanischen, mechatronischen und elektronischen Systemen wird in diesem Lehrbuch besprochen. Dabei wird dem Leser anhand eines dem entwicklungsorientiertem V-Diagramm zu jedem Handlungsschritt entsprechende Methoden in einer ausreichenden Tiefe vorgestellt, mit dessen er in die Lage versetzt wird, praxisorientierte Fragestellungen zu beantworten. Schwerpunkte sind dabei wie die kundenspezifischen Anforderungen in die Lastableitung (Mission Profile) systematisch einzubinden sind, bis hin zu Wirkmechanismen. Hierfür werden entsprechend aktuelle Methoden wie Data-Mining, künstliche Intelligenz oder Statistische Versuchsplanung anwendungsnah vorgestellt. Entsprechend den potentiellen Ausfallmechanismen werden passenden Umweltprüfungen auf Basis beschleunigender Testverfahren mit Praxisbeispielen aufgezeigt und durch die Bauteil- und Prozessfreigabe bis hin zur Verarbeitung und der Interpretation von Felddaten abgerundet. Zieldieses Buches ist es, den Einstieg oder den Umstieg in das Themenfeld der Zuverlässigkeitsgestaltung elektronischer Systeme handhabbar sowie praxisorientiert zu ermöglichen.Einführung und Motivation.- Besonderheiten im Entwicklungsablauf elektronischer Systeme.- Grundlagen und Methoden der Zuverlässigkeitstechnik.- Data-Science im Entwicklungsbereich.- Anforderungen und Mission Profile.- Denkbare Szenarien zur Vorgehensweise.- Beschleunigungsgesetze.- Beschleunigte Testverfahren.- Umweltsimulation.- Elektromagnetische Verträglichkeit und Elektrostatische Entladung.- Screening.- Methoden zur Freigabe und Überwachung in der Praxis.
GitHub Copilot Certification Study Guide
A hands-on guide to preparing for the GitHub Copilot certification exam The GitHub Copilot Certification Study Guide is a complete resource for accurate coverage of the challenging GitHub Copilot certification exam. This Sybex Study Guide covers all of the exam’s domain competencies. You’ll prepare smarter and faster with Sybex thanks to efficient and accurate content including, assessment tests that validate test readiness, objective maps, real-world examples and scenarios, practical exercises, and challenging chapter review questions. Retain what you’ve learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get prepared for the GitHub Copilot certification exam with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you’ll be ready for: Responsible AIGitHub Copilot® plans and featuresHow GitHub Copilot works and handles dataPrompt crafting and Prompt engineeringDeveloper use cases for AITesting with GitHub CopilotPrivacy fundamentals and context exclusions ABOUT THE GitHub COPILOT CERTIFICATION EXAM The GitHub Copilot certification exam is designed for individuals in the field of software development who are proficient in using GitHub, including software developers, administrators, and project managers. This certification is intended for individuals who have a foundational understanding of GitHub Copilot as a product and its available features, along with hands-on experience in optimizing software development workflows using GitHub Copilot. Interactive learning environment Take your exam prep to the next level with Sybex’s superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: Interactive test bank with a practice exam to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you’re ready to take the certification exam.100 electronic flashcards to reinforce learning and last-minute prep before the examComprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared The fastest, most effective way to prepare for the GitHub Copilot certification exam and hone your skills with the popular AI-powered programming tool In the GitHub Copilot Certification Study Guide, tech entrepreneur and Pluralsight trainer, Tom Taulli, delivers a concise and accurate walkthrough of the AI-powered programming tool. Perfect for everyone preparing to take the new GitHub Copilot Certification exam, as well as programmers who regularly use the tool in their day-to-day work, this Study Guide helps you optimize your software development workflows, understand the structure of the test, and learn the material covered by it. This book explains every topic covered by the GitHub Copilot Certification exam, including: Responsible AIGitHub Copilot plans and featuresThe inner workings of GitHub Copilot and how it handles dataPrompt crafting and prompt engineeringDeveloper use casesTesting workflows with GitHub CopilotPrivacy fundamentals and context exclusions From step-by-step tutorials of the GitHub Copilot installation process to proven exam-taking techniques from the experts at Sybex, the GitHub Copilot Certification Guide explores everything you need to understand to succeed on the test and improve your on-the-job coding performance. It offers: Job-ready strategies and techniques for avoiding common generative AI-enhanced programming pitfalls and making use of its many benefitsUp-to-date descriptions of the most useful features and functions of GitHub Copilot, including Copilot EditsComplimentary access to a practice Assessment Test, a Practice Exam, 100 digital flashcards, and a glossary of key terms on the Sybex online learning environment Generative AI tools, like GitHub Copilot, have transformed the software engineering and programming landscapes. If you're preparing for the certification exam, or you wish to expand your AI coding skillset, grab a copy of the GitHub Copilot Certification Study Guide today. ABOUT THE AUTHOR TOM TAULLI is an author, speaker, Pluralsight trainer, and startup advisor. He is the author of AI-Assisted Programming: Better Planning, Coding, Testing, and Deployment, as well as other AI-focused technology books.
Microsoft Windows Server 2025 - Das Handbuch
Das Standardwerk zur neuen Version: praxisnah und kompetent - Sie finden alle wichtigen Themen in einem Buch: Planung, Migration, Administration, Konfiguration und Verwaltung - Profitieren Sie von zahlreichen praxisnahen Beispielen und Workshops - Mit hilfreichen Schritt-für-Schritt-Anleitungen Diese komplett überarbeitete und aktualisierte Auflage des Klassikers zu Windows Server gibt Ihnen einen tiefgehenden Einblick in den praktischen Einsatz von Windows Server 2025. Das Buch richtet sich sowohl an Neueinsteiger*innen in Microsoft-Servertechnologien als auch an Umsteiger*innen von Vorgängerversionen. Planung und Migration, Konzepte und Werkzeuge der Administration sowie die wichtigsten Konfigurations- und Verwaltungsfragen werden praxisnah behandelt. Alle wichtigen Funktionen werden ausführlich vorgestellt, ebenso die effiziente Zusammenarbeit mit Windows 10/11-Clients. Es erwarten Sie über 1000 Seiten praxisnahes und kompetentes Insiderwissen mit vielen hilfreichen Anleitungen und Profitipps. Aus dem Inhalt:Alle Neuerungen von Windows Server 2025 und Änderungen im Vergleich zu Windows Server 2022 Lizenzierung und Installation Verwalten von Datenträgern und Speicherpools, Hochverfügbarkeit, Datensicherung und -wiederherstellung Secured Core Server, Secure DNS und weitere Sicherheitsneuerungen in der Praxis Lokale Rechenzentren an Microsoft Azure anbinden Betreiben und Erweitern von Active Directory Verwaltung mit dem Windows Admin Center Hochverfügbarkeit und Lastenausgleich Windows Server Update Services (WSUS) Diagnose und Überwachung für System, Prozesse und Dienste Viele neue PowerShell-Befehle für die Verwaltung von Windows Server 2025 Windows Server Container, Docker und Hyper-V-Container Virtualisierung mit Hyper-V Fehlerbehebung und Troubleshooting
Data Product Management in the AI Age
“_An outstanding companion for any data professional seeking to deepen their expertise and grow in the field of Data Product Management_.” (Eduardo Juremeira, Data Engineering Manager, Adyen)“_This book is a valuable resource for data professionals, offering clear concepts and practical tools_.” (Luis Oliveira, Analytics Engineering Tech Manager, Nubank)A PRACTICAL GUIDE TO MASTERING DATA PRODUCT MANAGEMENT—BRIDGING STRATEGY, ARCHITECTURE, AND EXECUTION FOR THE AI ERA.We have firmly entered the age of artificial intelligence (AI). Data, the backbone of this technology, is more crucial than ever. If the algorithm is the brain, data is the content that feeds it. This book argues that to succeed in this era, organizations should adopt a holistic approach to data—one that uses product management principles to inform how data is sourced, designed, managed, maintained, optimized, and leveraged.This book is divided into two sections, moving from fundamentals to practical applications. In the first part, you’ll learn about the concepts that underlie product theory, the data architecture journey, and the essential knowledge needed to manage data products. The second part focuses on putting everything into practice, with particular attention to designing solutions, ongoing maintenance, and optimization.Additionally, the book introduces the Golden Data Platform and the Data Product Management Canvas, important tools and frameworks coined by author Jessika Milhomem. These resources will help you begin transforming your organization’s data strategy, empowering you to stay ahead of the competition and thrive in the AI age.WHAT YOU WILL LEARN* Explore the evolution of data architecture and strategies* Understand the fundamentals of data product management* Differentiate between Data Product and Data as a Product* Know what the Golden Data Platform is and how to use it* Utilize the Data Product Management Canvas effectively* Reorient your data strategy with product management principles* Examine the concepts of products and data architecture evolution in relation to leadership* Evaluate how to solve data architecture without bias by technology* Design and implement Data as a Product and Data Products through a project* Maintain and enhance Data Products once launchedWHO THIS BOOK IS FORData leaders and managers responsible for designing and delivering data products, as well as product managers who want to collaborate more effectively with data teams. Analytics engineers, data engineers, data scientists, and machine learning engineers will find practical guidance for building impactful data solutions. Developers and data professionals aiming to move into leadership or product roles will also find valuable insights throughout.Part I: Fundamentals for Data Product Management.- Chapter 1: Data Product Management Introduction.- Chapter 2: Data Analytical Architecture - Traditional Architecture.- Chapter 3 : Data Analytical Architecture - Big Data Architecture.- Chapter 4: Consolidating the Analytics Journey Knowledge.- Part II: Data Product Management in Practice.- Chapter 5: Golden Data Platform to Manage Data as a Product.- Chapter 6: Data Product Management.- Chapter 7: Designing the Product of Data - Understanding Phase.- Chapter 8: Designing the Product of Data - Exploring Phase.- Chapter 9: Designing the Data Product - Materializing Phase.- Chapter 10: Ownership process - Recurrent Cycle - Ongoing.
Mastering Text Analytics
This book is a comprehensive guide to mastering Natural Language Processing (NLP), a rapidly growing field in AI-powered text and data analytics. It equips you with tools and techniques to extract valuable insights from both structured and unstructured data, enabling you to uncover insights beyond the reach of traditional data analysis methods and stay competitive in this evolving domain.The book starts with foundational concepts, such as collecting and extracting data for NLP projects, before progressing to advanced topics like applications of transfer learning in NLP and Large Language Models (LLMs). Each chapter emphasizes real-world applications and includes practical case studies to ensure the knowledge is immediately applicable. Throughout the book, readers will find Python code demonstrations, hands-on projects, and detailed explanations of key concepts. Special features include business use cases from industries like healthcare and customer service, practice exercises to reinforce learning, and explorations of emerging NLP technologies. These elements make the book not only informative but also highly engaging and interactive.By the end of the book, the reader will have a solid foundation in Generative AI techniques to apply them to complex challenges. Whether you’re a budding data scientist or a seasoned professional, this guide will help you harness the power of AI-driven text and data analytics effectively.What you will learn:* Understand NLP with easy-to-follow explanations, examples, and Python implementations.* Explore techniques such as transformers, word embeddings, and pragmatic analysis in real-world contexts.* Work with real-world datasets and apply pre-processing, tokenization, and text extraction using NLP libraries.* How to build complete NLP pipelines from data collection to model implementation, including sentiment analysis and chatbots.* Learn state-of-the-art methods like deep learning techniques in NLP, large language models (LLMs), and zero-shot learning in NLP.Who this book is for:This book is tailored for data scientists, machine learning engineers, AI practitioners, and software developers seeking to learn NLP techniques and apply them to solve problems.Chapter 1. Natural Language Processing: An Introduction.- Chapter 2. Collecting and Extracting the Data for NLP Projects.- Chapter 3. NLP Data Preprocessing Tasks Involving Strings & Python Regular Expressions.- Chapter 4. NLP Data Preprocessing Tasks with nltk.- Chapter 5. Lexical Analysis.- Chapter 6. Syntactic and Semantic Techniques in NLP.- Chapter 7. Advanced Pragmatic Techniques and Specialized Topics in NLP.- Chapter 8. Transformers, Generative AI, & LangChain.- Chapter 9. Advancing with LangChain & OpenAI.- Chapter 10. Case Study on Symantec Analysis.
Cybersecurity Law
Comprehensive textbook covering the latest developments in the field of cybersecurity law Cybersecurity Law offers an authoritative guide to the key statutes, regulations, and court rulings that pertain to cybersecurity, reflecting the latest legal developments for this constantly evolving subject since the previous edition was released in 2022. This comprehensive text deals with all aspects of cybersecurity law, including data security and enforcement actions, anti-hacking laws, surveillance and privacy laws, and national and international cybersecurity law. In this new edition, readers will find insights on revisions to regulations and guidance concerning cybersecurity from federal agencies, such as 2023 SEC cybersecurity regulations for all publicly traded companies, and the Cyber Incident Reporting for Critical Infrastructure Act and its impact on the obligations of companies across the United States. Other recent developments discussed in this book include litigation from customers against companies after data breaches and the resulting legal articulation of companies’ duties to secure personal information, the increased focus from lawmakers and regulators on the Internet of Things (IoT), and the FDA’s guidelines for medical device cyber security. Readers of Cybersecurity Law will also find new information on: Litigation cases where courts ruled on whether plaintiffs stated viable causes of action in data breach cases, including the Eleventh Circuit’s opinion in Ramirez v. Paradies Shops Fourth Amendment opinions involving geofence warrants and keyword search warrants Courts’ applications of the Supreme Court’s first Computer Fraud and Abuse Act opinion, Van Buren v. United States NIST’s 2024 revisions to its popular Cybersecurity Framework Version 2 of the Cybersecurity Maturity Model Certification Cybersecurity Law is an ideal textbook for undergraduate and graduate level courses in cybersecurity, cyber operations, management-oriented information technology (IT), and computer science. It is also a useful reference for IT professionals, government personnel, business managers, auditors, cybersecurity insurance agents, and academics in these fields. Jeff Kosseff, JD, MPP, is a cybersecurity and privacy lawyer. He frequently speaks and writes about cybersecurity and was a journalist covering technology and politics at The Oregonian, a finalist for the Pulitzer Prize, and a recipient of the George Polk Award for national reporting.
Recht für Online-Marketing und KI
Dieses Handbuch bietet eine umfassende Rechtsberatung zu allen aktuellen Fragen rund um Online-Marketing und KI-Einsatz. Der Jurist Dr. Thomas Schwenke bringt die relevanten Rechtsfragen verständlich auf den Punkt und gibt konkrete, umsetzbare Handlungsempfehlungen. Sie lernen rechtliche Risiken einzuschätzen und Rechtsverstöße zu vermeiden. Juristische Kenntnisse werden nicht vorausgesetzt.KI in der Praxis: Alles rund um KI – von der Nutzung KI-generierter Inhalte über Deepfakes bis zur KI-VerordnungUrheberrecht im Marketing: User-generated Content, Memes, Creative-Commons-Lizenzen, StockbildarchiveDirektmarketing: Double-Opt-in, Newsletter-Tracking und die Zusammenarbeit mit Versanddienstleistern rechtssicher gestaltenDatenschutz und Barrierefreiheit: Die DSGVO und das Barrierefreiheitsstärkungsgesetz (BFSG) praktisch umsetzenGewinnspiele, Influencer-Verträge und Co: Ratschläge für alle Fragen des Joballtags – von rechtlich korrekten Werbeaussagen und Gewinnspielen bis zu KI-Richtlinien für MitarbeitendeHaftung, Abmahnung und eigene Ansprüche: Wann Sie für Mitarbeitende haften, was bei Abmahnungen zu tun ist und wie Sie Ihre Interessen durchsetzenChecklisten und Mustertexte: Übersichtslisten, sofort einsetzbare Textvorschläge und anschauliche Fallbeispiele unterstützen Sie bei der korrekten UmsetzungLeseprobe (pdf-Link)Über den Autor:Dr. Thomas Schwenke, LL.M., Dipl.FinWirt (FH), ist ein renommierter Rechtsanwalt und Datenschutzauditor. Er unterstützt weltweit Unternehmen bei der Bewältigung rechtlicher Herausforderungen im Datenschutz, Online-Marketing und beim Einsatz von KI. Er ist Co-Host des Podcasts „Rechtsbelehrung“ und ein geschätzter Experte in der Rechtsbranche. Er ist als Gründer von Datenschutz-Generator.de und durch seine gefragten Vorträge bekannt. Thomas Schwenke versteht es, komplexe Rechtsthemen verständlich zu erklären und praxisnahe Lösungen aufzuzeigen.
Quantitative Prognosen in der externen Unternehmensrechnung
Barwertkalküle erfordern Prognosen künftiger Zahlungsströme oder Gewinne, haben sich zur vorherrschenden Bewertungsmethodik entwickelt und kommen immer häufiger zur Anwendung. In dieser Arbeit werden ausgewählte quantitative Prognoseverfahren aufgezeigt, empirisch evaluiert und daraus Empfehlungen für die Anwendung innerhalb der Rechnungslegung sowie für die Unternehmensbewertung abgeleitet. Betrachtet werden etablierte sowie neuere Methoden aus dem Bereich des maschinellen Lernens. Darüber hinaus werden die Prognosefelder der handelsrechtlichen und internationalen Rechnungslegung sowie die Auswirkungen von Rechnungslegungspolitik evaluiert. Die Untersuchungen liefern wichtige Erkenntnisse für die Unternehmensanalyse auf Basis von Daten der Finanzberichterstattung und die Ermittlung von Unternehmenswerten. Der Autor empfiehlt zudem methodische Vorgaben für Prognosen in der externen Unternehmensrechnung. Quantitative Prognosen in der Rechnungslegung.- Zukunftsorientierung der Rechnungslegung.- Methodik und Datenbasis.- Cashflow- und Erfolgsprognosen.- Rechnungslegungspolitik als begrenzender Faktor quantitativer Modellierungen.- Modellgestützte Erfolgsprognosen für die Unternehmensbewertung.- Schlussbetrachtung und Fazit.
Künstliche Intelligenz und politischer Extremismus
Dieses essential bietet einen Überblick über die Nutzung von KI durch Extremist*innen. Es werden Beispiele für die Nutzung von KI durch Extremist*innen angeführt. Zudem wird diskutiert, wie diese dadurch gezielt etwa Propaganda, Hass und Hetze verbreiten. Ferner werden Chancen und Möglichkeiten für (Sicherheits-)Behörden und andere Institutionen für den Umgang mit der Nutzung von KI durch Extremist*innen sowohl in der Bekämpfung von Extremismus als auch der Prävention thematisiert. Relevant ist der Band somit für Vertreter*innen von (Sicherheits-)Behörden, für Mitarbeitende bei Trägern der Extremismusprävention, für Wissenschaftler*innen, aber auch etwa für die IT-Branche. Begriffsklärungen und Einordnung.- Wofür Extremist*innen KI nutzen (können).- Gründe für die Nutzung von KI durch Extremist*innen.- Die Nutzung von KI gegen Extremismus.- Herausforderungen für die Nutzung von KI gegen Extremismus.- Wie KI die Entwicklung weiter beeinflussen wird.
Android 16 - Der schnelle Smartphone-Einstieg
für Pixel, Sony Xperia, Motorola & alle weiteren Geräte mit purem AndroidMit diesem smarten Praxisbuch gelingt Ihnen der sichere Einstieg in Ihr Smartphone. Lernen Sie Ihr Handy mit dem puren Android 16-Betriebssystem kennen und beherrschen! Anschauliche Anleitungen, Beispiele und Bilder zeigen Ihnen gut nachvollziehbar, wie Sie Ihr mobiles Gerät optimal handhaben – von der Ersteinrichtung und Personalisierung über die große Funktionsvielfalt bis zu den wichtigsten Anwendungen.Nutzen Sie darüber hinaus die übersichtlichen Spicker-Darstellungen: Damit können Sie jene Bedienungs-schritte, die man am häufigsten braucht, aber immer wieder vergisst, auf einen Blick finden und umsetzen. Freuen Sie sich auf viele hilfreiche Tipps und legen Sie ganz einfach los!Aus dem Inhalt:- Alle Bedienelemente Ihres Android 16-Smartphones auf einen Blick● Ersteinrichtung sowie Erstellung und Verwaltung Ihres Google-Kontos● KI-Funktionen, Datenschutz, Sicherheit und Berechtigungskontrolle● Die Benutzeroberfläche Ihres Smartphones personalisieren● Apps herunterladen, nutzen und Updates durchführen● Kontakte anlegen, verwalten und Anrufe tätigen● Nachrichten austauschen via SMS/RCS, E-Mail & WhatsApp● Fotos sowie Videos aufnehmen und verwalten● Uhr, Kalender, Maps und andere praktische Apps nutzen● Verbindungen herstellen und im Internet surfen● Datenübertragung, Back-Ups und Tipps zum UmzugInklusive der neuen Features des Herbst-Updates 2025
Science MashUp: Games und schulische Bildung
Spielen in der Schule? Spielen und schulische Bildung schlossen sich lange Zeit aus: Spiel fand in der Freizeit statt, Schule bereitete auf den Arbeitsprozess vor. Doch die Integration von digitalen Spielen in den schulischen Bildungsbereich hat in den letzten Jahren zunehmend an Bedeutung gewonnen.Der Band _Science MashUp: Games und schulische Bildung_ versammelt die Beiträge zur gleichnamigen Tagung im April 2024 in Leipzig. Die Perspektiven von Lehrkräften, Eltern und Schülern stehen dabei im Fokus von drei Themenbereichen: 1. Standpunkte: Games in der Schule, 2. Best Practices: Games im Unterricht, 3. Spiele, Technik und Wissen: Digitale Bildungskultur im Wandel.Grußwort.- Einleitung.- Standpunkte: Games in der Schule.- Best Practice: Games im Unterricht.- Spiele, Wissen und Technik: Digitale Bildungskultur im Wandel.- Podiuumsdiskussion.
Intelligent Automation in Digital Transformation Strategy
Harness the full potential of Intelligent Automation (IA) to transform your businesses, stay competitive, and navigate the complexities of today’s digital landscape. This book is a comprehensive guide for business leaders, executives, and automation professionals, exploring how Intelligent Automation (IA) has evolved from traditional Robotic Process Automation (RPA) to become a powerful catalyst in Digital Transformation.Begin with the fundamentals of IA and its progression from simple, rule-based RPA to advanced IA, incorporating AI-driven technologies like Machine Learning, Generative AI, and Agentic AI. These emerging technologies empower organizations to tackle more complex processes, enabling intelligent decision-making and enhanced customer interactions prompting the necessity for robust governance and alignment with broader business objectives, which is a primary focus of this book.To combat that, you’ll review actionable frameworks and governance models designed to support the development and sustainability of IA programs at scale. The book provides a structured roadmap to establish an IA Center of Excellence (CoE), ensuring that automation efforts align with the organization’s Digital Transformation goals. By integrating governance processes, risk management, and best practices, you’ll be able to build IA initiatives that are resilient, compliant, and strategically impactful. Intelligent Automation for Digital Transformation demystifies the journey to becoming a digitally native organization.Who This Book is ForLeaders responsible for shaping their organization’s long-term strategy, digital innovation, and business process efficiency agenda. Executives in the financial services, healthcare, and other highly regulated industries where a risk management mindset and proper governance framework is key. Consultants and advisors within the business transformation and automation space who are ena-bling companies in their journey to become digitally native.PROLOGUE.- PART I: THE STRATEGIC IMPERATIVE OF INTELLIGENT AUTOMATION.- Chapter 1: Intelligent Automation as a Driver of Business Model Innovation.- Chapter 2: Transforming the Customer Experience with IA.- Chapter 3: IA as an Employee Empowerment Tool.- PART II: BUILDING A FOUNDATION FOR DIGITAL TRANSFORMATION SUCCESS.- Chapter 4: Developing a Strategic Roadmap for Intelligent Automation.- Chapter 5: The Role of an Intelligent Automation Framework in Digital Transformation.- Chapter 6: Fostering an Enterprise-Wide Automation Development Mindset.- Chapter 7: How Intelligent Automation_ is _Key to Driving Strategic Value.- PART III: CRAFTING A DIGITAL TRANSFORMATION STRATEGY.- Chapter 8: Aligning IA with Digital Transformation Principles.- Chapter 9: Sustaining Being Digitally Native.- PART IV: THE EMERGING FUTURE FOR IA AND DIGITAL TRANSFORMATION.- Chapter 10: Emerging Technologies That Are Driving the Path Forward.- Chapter 11: Intelligent Automation in the Age of Agentic AI.- Epilogue.- Glossary.- References.
Deep Learning in Textual Low-Data Regimes for Cybersecurity
In today's fast-paced cybersecurity landscape, professionals are increasingly challenged by the vast volumes of cyber threat data, making it difficult to identify and mitigate threats effectively. Traditional clustering methods help in broadly categorizing threats but fall short when it comes to the fine-grained analysis necessary for precise threat management. Supervised machine learning offers a potential solution, but the rapidly changing nature of cyber threats renders static models ineffective and the creation of new models too labor-intensive. This book addresses these challenges by introducing innovative low-data regime methods that enhance the machine learning process with minimal labeled data. The proposed approach spans four key stages:Data Acquisition: Leveraging active learning with advanced models like GPT-4 to optimize data labeling.Preprocessing: Utilizing GPT-2 and GPT-3 for data augmentation to enrich and diversify datasets.Model Selection: Developing a specialized cybersecurity language model and using multi-level transfer learning.Prediction: Introducing a novel adversarial example generation method, grounded in explainable AI, to improve model accuracy and resilience.Introduction.- Research Design.- Findings.- Discussion.- Conclusion.- Information Overload in Crisis Management: Bilingual Evaluation of Embedding Models for Clustering Social Media Posts in Emergencies.- ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios.- A Survey on Data Augmentation for Text Classification.- Data Augmentation in Natural Language Processing: A Novel Text Generation Approach for Long and Short Text Classifiers.- Design and Evaluation of Deep Learning Models for Real-Time Credibility Assessment in Twitter.- CySecBERT: A Domain-Adapted Language Model for the Cybersecurity Domain.- Multi-Level Fine-Tuning, Data Augmentation, and Few-Shot Learning for Specialized Cyber Threat Intelligence.- XAI-Attack: Utilizing Explainable AI to Find Incorrectly Learned Patterns for Black-Box Adversarial Example Creation.
Datenmodellierung in Data-Warehouse-Systemen
Dieses Buch bietet wertvolle Unterstützung beim Aufbau und bei der Modellierung eines Data Warehouse (DW). Es führt praxisnah durch alle Phasen eines DW-Projekts – von der Anforderungsanalyse über die Datenmodellierung und Architektur bis hin zur praktischen Umsetzung. Leserinnen und Leser gewinnen ein tiefes Verständnis für bewährte Modellierungstechniken, die einen entscheidenden Faktor für die Struktur und den Erfolg eines DW darstellen. Ein besonderer Schwerpunkt liegt dabei auf der Definition von Regelwerken zur effektiven Erstellung semantischer und logischer Datenmodelle. Zudem werden nicht nur theoretische Grundlagen vermittelt, sondern auch praktisches Wissen zur Umsetzung – abgerundet durch eine realistische Fallstudie.ZIELGRUPPE* Praktiker*innenEinleitung.- Aufbau und Komponenten klassischer DW-Architekturen.- Anforderungsanalyse.- Klassische relationale Datenmodelle.- Multidimensionale Datenmodelle.- Data Vault.- Konzepte und Techniken der Historisierung.- Fallstudie zur Gestaltung einer Data-Warehouse-Anwendung.- Zusammenfassung.- Glossar.- Literatur.
Modern REST API Development in Go
Modern REST API Development in Go is a hands-on guide to understanding and applying REST principles using Go’s powerful standard library. In an era where interconnected systems demand robust and performant APIs, Go offers the perfect combination of simplicity, performance, and tooling to build modern backend services. This book is centered around a complete, real-world REST API project and guides you through every stage of the development process, from building HTTP handlers to applying authentication and generating OpenAPI documentation. You’ll learn to structure your application, handle persistence with common libraries like GORM and Squirrel, apply observability patterns through logging and tracing, and ensure code quality through unit and integration tests. Each concept is grounded in REST theory and backed by idiomatic Go practices, enabling you to build APIs that are not only functional but production-ready. By the end of the book, you’ll be ready to design, build, and maintain REST APIs in Go.
CompTIA A+ CertMike: Prepare. Practice. Pass the Test! Get Certified!
Prepare faster and smarter with CertMike Get Certified! for passing the CompTIA A+ Core 1 certification exam! In CompTIA® A+® CertMike: Prepare. Practice. Pass the Test! Get Certified! Core 1 Exam 220-1201, Second Edition, experienced IT expert and tech educator Mike Chapple delivers a focused, no-nonsense guide for anyone preparing for the CompTIA A+ Core 1 exam. Take advantage of the proven CertMike approach to: Prepare—As your personal study coach, CertMike guides you through all the exam objectives, helping you gain an understanding of how they apply to on-the-job tasks!Practice—Each chapter includes two multiple choice practice questions. Work through the detailed explanations to evaluate each answer option and understand the reason for the best answer.Pass the Test—On exam day, take the critical knowledge you’ve learned into the test. You’ll feel ready and confident to pass the exam and earn your certification! This book skips the fluff and helps you validate you have the knowledge and skills to install, configure, and maintain computer equipment, mobile devices, and software for end users. You’ll also demonstrate your competency in networking basics and essential cybersecurity methods and properly and safely diagnose, resolve, and document common hardware and software issues. Interactive learning environment Take your exam prep to the next level with Sybex’s superior interactive online study tools. To access our interactive learning environment, simply visit www.wiley.com/go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: Interactive test bank with a practice exam to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you’re ready to take the certification exam.Audio recordings of the book’s CertMike Exam Essentials to help you review for the exam. Skip the fluff and quickly master the essentials with this accurate CompTIA A+ certification test prep In the second edition of CompTIA A+ CertMike: Prepare. Practice. Pass the Test! Get Certified! Core 1 Exam 220-1201, tech educator and expert Mike Chapple delivers a hands-on guide to efficiently and effectively preparing for the CompTIA A+ Core 1 exam. The book contains concise discussions of the mobile devices, networking technologies, hardware components, virtualization and cloud computing services, and troubleshooting techniques you'll need for the updated test and on a day-to-day basis at your job. Chapple covers all relevant technological advances in mobile, cloud, networking, and security that have taken place since publication of the first edition of this book. He also walks you through the material you need to know to succeed on the newly created 220-1201 exam. You'll use the proven CertMike approach to: Prepare—CertMike is your personal study coach, guiding you through all the exam objectives and helping you gain an understanding of how they apply to on-the-job tasks!Practice—Each chapter includes two multiple choice practice questions. Work through the detailed explanations to evaluate each answer option and understand the reason for the best answer!Pass—On exam day, use the critical knowledge you've learned when you're ready to take the test. You'll feel ready and confident to pass the exam and earn your certification! Laser-focused on starting and accelerating your IT technician career and ensuring your success on the A+ certification Core 1 exam, the book skips the fluff and familiarizes you with IT basics you'll use on the test and every day in your work. It also offers complimentary access to helpful online study tools, like a bonus practice exam and audio recordings of the CertMike Exam Essentials. The second edition of CompTIA A+ CertMike is perfect for anyone preparing for their A+ certification who wants to reduce test anxiety, boost their confidence, and get up to speed quickly and efficiently. It's also a great resource for hardware and PC technicians who want to reinforce foundational skills and upgrade their professional knowledge. ABOUT THE AUTHOR Mike Chapple, PhD, CISSP, CISM, CIPP/US, CIPM, CCSP, is Teaching Professor of Information Technology, Analytics, and Operations at Notre Dame’s Mendoza College of Business. He is the bestselling author of over 50 technical books. He is also the Faculty Director of the University’s Business/Computer Science program.
CompTIA A+ CertMike: Prepare. Practice. Pass the Test! Get Certified!
Prepare faster and smarter with CertMike Get Certified! for passing the CompTIA A+ Core 2 certification exam! In CompTIA® A+® CertMike: Prepare. Practice. Pass the Test! Get Certified! Core 2 Exam 220-1202, Second Edition, experienced IT expert and tech educator Mike Chapple delivers a focused, no-nonsense guide for anyone preparing for the CompTIA A+ Core 2 exam. Take advantage of the proven CertMike approach to: Prepare—As your personal study coach, CertMike guides you through all the exam objectives, helping you gain an understanding of how they apply to on-the-job tasks!Practice—Each chapter includes two multiple choice practice questions. Work through the detailed explanations to evaluate each answer option and understand the reason for the best answer.Pass the Test—On exam day, take the critical knowledge you’ve learned into the test. You’ll feel ready and confident to pass the exam and earn your certification! This book skips the fluff and helps you validate you have the knowledge and skills to install, configure, and maintain computer equipment, mobile devices, and software for end users. You’ll also demonstrate your competency in networking basics and essential cybersecurity methods and properly and safely diagnose, resolve, and document common hardware and software issues. Interactive learning environment Take your exam prep to the next level with Sybex’s superior interactive online study tools. To access our interactive learning environment, simply visit www.wiley.com/go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: Interactive test bank with a practice exam to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you’re ready to take the certification exam.Audio recordings of the book’s CertMike Exam Essentials to help you review for the exam. Skip the fluff and quickly master the essentials with this accurate CompTIA A+ certification test prep In the second edition of CompTIA A+ CertMike: Prepare. Practice. Pass the Test! Get Certified! Core 2 Exam 220-1202, tech educator and expert Mike Chapple delivers a hands-on guide to efficiently and effectively preparing for the CompTIA A+ Core 2 exam. The book contains concise discussions of the operating systems, security practices, software troubleshooting techniques, and operational procedures you'll need for the updated test and on a day-to-day basis at your job. Chapple covers all relevant technological advances in mobile, cloud, networking, and security that have taken place since publication of the first edition of this book. He also walks you through the material you need to know to succeed on the newly created 220-1202 exam. You'll use the proven CertMike approach to: Prepare—CertMike is your personal study coach, guiding you through all the exam objectives and helping you gain an understanding of how they apply to on-the-job tasks!Practice—Each chapter includes two multiple choice practice questions. Work through the detailed explanations to evaluate each answer option and understand the reason for the best answer!Pass—On exam day, use the critical knowledge you've learned when you're ready to take the test. You'll feel ready and confident to pass the exam and earn your certification! Laser-focused on starting and accelerating your IT technician career and ensuring your success on the A+ certification Core 2 exam, the book skips the fluff and familiarizes you with IT basics you'll use on the test and every day in your work. It also offers complimentary access to helpful online study tools, like a bonus practice exam and audio recordings of the CertMike Exam Essentials. The second edition of CompTIA A+ CertMike is perfect for anyone preparing for their A+ certification who wants to reduce test anxiety, boost their confidence, and get up to speed quickly and efficiently. It's also a great resource for hardware and PC technicians who want to reinforce foundational skills and upgrade their professional knowledge. ABOUT THE AUTHOR Mike Chapple, PhD, CISSP, CISM, CIPP/US, CIPM, CCSP, is Teaching Professor of Information Technology, Analytics, and Operations at Notre Dame’s Mendoza College of Business. He is the bestselling author of over 50 technical books. He is also the Faculty Director of the University’s Business/Computer Science program.
Revenue Management in the Age of Artificial Intelligence
Today, Revenue Management is a key practice in the air transport, tourism and hotel industries. Originally known as Yield Management, Revenue Management has gradually evolved into an integral revenue optimization strategy for businesses characterized by capacity constraints and fluctuating demand. Revenue Management in the Age of Artificial Intelligence explores, through numerous case studies and concrete examples, the principles, models and applications of Revenue Management, while addressing the ethical challenges and prospects offered by digital technology and artificial intelligence. This book is aimed at professionals, students, researchers and anyone wishing to understand the dynamics of price management in a constantly changing economic environment. It highlights the importance of transparency and fairness in maintaining consumer confidence, while demonstrating that Revenue Management is much more than a simple pricing technique: it is an essential strategic tool for many service companies. Sourou Meatchi is Senior Lecturer in Management Sciences at the University of Angers, within the ESTHUA National Institute of Tourism, France. As a member of the Economics and Management Research Laboratory (GRANEM), his scientific research focuses on Revenue Management, the digital transformation of VSEs and SMEs, and the economics of tourism in emerging countries.
Deep Dive Python
Take your programming skills to the next level by expanding real-world Python applications in open-source code. This book is an essential guide for experienced developers looking to enhance their Python proficiency.Using code examples from popular open-source projects you’ll master Python concepts and see how they are applied in production-level code. By understanding code from established projects, you’ll develop a deeper appreciation for Python’s capabilities and learn best practices that have been battle-tested in the real world. You’ll gain the confidence to tackle complex projects, optimize your code, and implement advanced Python features effectively.You’ll also examine typing, generators, iterators, the itertools module, multithreading, multiprocessing, and asyncio. This will equip you to build production-ready Python programs and libraries. Whether you’re building large-scale applications, contributing to open-source projects, or solving intricate programming challenges, _Deep Dive Python_ will provide you with the knowledge and practical experience to excel in your Python development journey.WHAT YOU WILL LEARN* Master Python's core data structures and how to use them effectively.* Implement decorators, descriptors, metaclasses, and abstract base classes in your code* Enhance your code with functional programming techniques using the functools module* Improve iteration with generators, iterators, and the itertools module* Select the best Python concurrent programming models to use for optimal performance* Apply best practices for code organization, packaging, and creating maintainable Python projects WHO THIS BOOK IS FORExperienced Python developers who want to expand their programming skilsChapter 1: Lists.- Chapter 2: Tuples.- Chapter 3: Set and Dictionary.- Chapter 4: Logging.- Chapter 5: Exceptions.- Chapter 6: Functions and Functools.- Chapter 7: Classes and Object Oriented Programming.- Chapter 8: Dunder Methods.- Chapter 9: Decorators.- Chapter 10: Metaclasses.- Chapter 11: Typing.- Chapter 12: Generators and iterators.- Chapter 13: Itertools.- Chapter 14: Multithreading.- Chapter 15: Multiprocessing.- Chapter 16: Asyncio.- Chapter 17: Data Serialization and Persistence.- Chapter 18: Context Managers and Contextlib.- Chapter 19: Abstract Base Classes.- Chapter 20: Packaging.- Chapter 21: Dependency Management.
Sustainable Resource Management in Next-Generation Computational Constrained Networks
The book provides essential insights into cutting-edge networking technologies that not only enhance performance and efficiency but also address critical sustainability challenges in an increasingly connected world. The landscape of networking and computational technologies is rapidly evolving, driven by the increasing demand for efficient and sustainable resource management. The advent of next-generation technologies such as 5G and 6G has marked a significant leap in enabling high-capacity, low-latency communication and massive connectivity. These advancements are crucial for supporting the growing number of connected devices and complex applications they run, particularly in environments with limited processing, memory, and energy capabilities. Sustainable Resource Management in Next-Generation Computational Constrained Networks provides insight into the advancements of recent cutting-edge networking technologies that cater to society’s needs more efficiently, meeting the expectations of sustainable resource management in computationally constrained networks. By exploring the practical applications of various next-generation technologies, the book addresses critical challenges such as scalability, interoperability, energy efficiency, and security. This knowledge equips professionals with the tools to enhance network performance, optimize resource management, and develop innovative solutions for sustainable and efficient computational networks, ultimately contributing to the advancement of technology and societal well-being. Readers will find this book: Provides thorough reviews on a wide range of cutting-edge network technologies contributing to resource management in computationally constrained networks;Explores the role of various network technologies for the development of sustainable applications;Details architectural viewpoints of integrating emerging network technologies with real-world applications to manage network resources efficiently;Highlights challenges in integrating the latest network technologies with sustainable real-world applications;Discusses real-world case studies of various network technologies in leveraging sustainable resource management for the fulfillment of different industrial and societal needs. Audience Software engineers, electronic engineers, and policymakers in the networking and security domain. Subhasis Dash, PhD is an assistant professor in the School of Computer Engineering at the Kalinga Institute of Industrial Technology with over 22 years of teaching experience. His research interests include wireless sensor networks, distributed computing, and operating systems. Manas Ranjan Lenka, PhD is an assistant professor in the School of Computer Engineering, at the Kalinga Institute of Industrial Technology with over 18 years of experience. His current research focuses on wireless sensor networks, mobile wireless networks, Internet of Things, and blockchain. S. Balamurugan, PhD is the Director of Intelligent Research Consultancy Services and serves as a consultant for many other companies and start-ups. He has published over 70 books, 300 articles in national and international journals and conferences, and 300 patents. His research interests include artificial intelligence, machine learning, soft computing algorithms, and robotics and automation. Ambika Prasad Tripathy is a senior technical leader with Cisco’s Network Security Business Unit with over 17 years of experience. He has worked in the network industry to standardize Yang-based subscription mechanisms and their applications. He specializes in Sigtran, 3G, 4G core networks, switching and routing, telemetry, and datacenter, network, and cloud security. Amarendra Mohanty is a senior engineer at the Intel Corporation in India with over 17 years of research experience. He has worked for a number of leading companies in the computer science field, including Intel, VMWare, TCS, and Aricent. His specializations include network security, network virtualization, data center networking, routing and switching, and 3G wireless networks in the development and QA fields.