Computer und IT
Data Science mit Big Data
Bietet einen umfassenden Überblick zum Umgang mit großen Datenmengen. Erläutert verständlich die zentralen Big-Data- Konzepte und zeigt deren Möglichkeiten und Grenzen auf. Illustriert die Datenspeicherung mit skalierbaren NoSQL-Systemen und zeigt die verteilte Verarbeitung mit Batch-, Micro-Batch- und modernen Streaming-Verfahren. Beschreibt anwendungsorientiert, wie moderne Datenplattformen entwickelt und durch Künstliche Intelligenz erweitert werden können. Ihr exklusiver Vorteil: E-Book inklusive beim Kauf des gedruckten Buches Mit diesem Buch erhalten Sie einen praxisnahen und technologieunabhängigen Einstieg in den Umgang mit großen Datenmengen. Zahlreiche Beispiele werden mit gängigen Open-Source-Werkzeugen und modernen Container-Technologien (Docker) umgesetzt, sodass Sie Ihr neu erworbenes Wissen gleich ausprobieren können und der Umgang mit kommerziellen Produkten ebenfalls problemlos möglich wird. Das Buch startet mit den Herausforderungen, die sich durch die verteilte Verarbeitung von Daten ergeben, sobald diese nicht mehr auf einen Rechnerknoten passen. Sie lernen, wie Sie Big-Data-Analytics mit Verarbeitungsparadigmen wie Batch-, Micro-Batch- und Stream-Verarbeitung praktisch umsetzen können; ebenso wird auf die Vor- und Nachteile von NoSQL-Datenbanken eingegangen. Einblicke zur Visualisierung von Analyseergebnissen, in zufallsbasierte Big-Data-Algorithmen sowie in Referenz-Architekturen für den Aufbau skalierbarer Big-Data-Systeme runden das Buch ab. Dieses Lehrbuch und Nachschlagewerk ist ein verlässlicher Begleiter für Studium, Ausbildung und berufliche Praxis. AUS DEM INHALT // Einstieg ins Thema Verteilte Systeme Big-Data-Management Data Warehouse, Data Lake(house), Data Mesh NoSQL Verarbeitungsparadigmen Systemarchitekturen Algorithmen und Datenanalyse Visualisierung Systementwicklung, -test und –betrieb KI-Anwendungen Ausblick
E-Autos (Rheinwerk Verlag)
Der Ratgeber zum E-Auto-KaufDie Vorteile von E-Autos liegen auf der Hand: komfortables Fahren, günstiges Laden an der eigenen Wallbox, saubere Mobilität ohne das Verbrennen fossiler Rohstoffe. Aber was ist mit dem Reichweitenproblem, den unübersichtlichen Ladeabos und dem hohen Kaufpreis? In diesem Ratgeber bespricht Jörg Rippel alles, was Sie vor dem Kauf und auf den ersten Fahrten wissen müssen. Vom ersten Laden an der Autobahn bis zum Batteriemanagement, von der Ökobilanz bis zur effizienten Fahrweise im Alltag dreht sich alles um Ihre ganz persönliche Mobilitätswende. Technik verstehen Die Technik eines E-Autos ist sicher und ausgereift, funktioniert aber ganz anders als beim Verbrenner. Was Sie über die Batterie, Antriebstechnik und das Thermomanagement wissen müssen, finden Sie in diesem Technikratgeber. Effizient und sparsam unterwegs Ihr neues Auto ist schon effizient, daher lohnt sich eine clevere Fahrweise umso mehr. Schon kleine Änderungen in der Fahrweise senken den Verbrauch spürbar und sparen Energie und damit bares Geld. Zahlreiche Tipps und Hinweise zeigen Ihnen, wie Sie Ihr E-Auto im Alltag am besten nutzen und batterieschonend unterwegs sind. Das richtige Auto für Sie Wie findet man das richtige Modell? Lohnt sich eine PV-Anlage für mehr Autarkie oder brauchen Sie die große Reichweite eines Hybrids? Eine Marktübersicht nach Fahrzeugklassen, Checklisten für den Kauf eines neuen oder gebrauchten E-Autos, ein Vergleich der Ladekarten und -apps helfen Ihnen, eine fundierte Kaufentscheidung zu treffen. Aus dem Inhalt: Mythen und Fakten zu E-Autos Laden leicht gemacht: die ersten Schritte Von der Verbrennung zum Elektromotor Batterie und Antrieb Ladetechnik- und Infrastruktur Marktüberblick und Kaufberatung Sparsam fahren Ladekarten, Netze und Roaming Ökobilanz und erneuerbare Energie Checkliste für den Kauf eines E-Autos Zum Autor:Jörg Rippel ist aus- und fortgebildet in Elektronik, Funktechnik und Informatik. Nach rund zwanzig Jahren Berufserfahrung, zuletzt in der Luft- und Raumfahrt, widmet er sich dem Schreiben von Sachbüchern zu technischen Themen.
Computer Memories 2
Memory, the second function of a computer, has gradually become more complex in order to meet growing needs in terms of capacity, speed, security and energy efficiency. It takes the form of a component or system, such as a memory subassembly or a mass storage device. For several decades, there has been a strong trend towards integrating memory directly into the processor under the term embedded memory, of which cache memory is a typical example. Understanding its internal mechanisms and interfacing is essential for mastering the operation of a computer and programming it efficiently. Computer Memories 2 focuses on the static storage cell and its associated component, known as static random-access memory. The first part presents the main temporal characteristics of a generic random-access memory, as well as its electrical and mechanical properties, including aspects related to encapsulation. The second part focuses on the study of the first category of random-access semiconductor memory: asynchronous static memory, commonly referred to by the acronym SRAM (static random-access memory). The book details its temporal, electrical and mechanical characteristics, providing an in-depth understanding of its operation and technical specifications. Philippe Darche is Lecturer in Computer Science at the University Institute of Technology (IUT) of Paris – Rives de Seine and Researcher in the Distributed Algorithms and Systems (DeLyS) team at LIP6, Sorbonne University, France. He is also the author of fifteen books on computer architecture.
Python für KI- und Daten-Projekte
ERSTE SCHRITTE MIT PYTHONJohannes Schildgen holt Sie genau da ab, wo Sie stehen: egal, ob Sie ganz neu in der Welt der Programmierung sind oder schon Grundkenntnisse vorweisen können. Steigen Sie direkt mit Praxisbeispielen ein, die echte Probleme aus Ihrem Arbeitsalltag lösen.DATENANALYSE UND -VISUALISIERUNGMithilfe von Jupyter Notebooks und Visual Studio Code schreiben Sie Skripte, mit denen Sie vorhandene Daten aufbereiten und lästige Routineaufgaben automatisieren können. Mithilfe von Web-Scraping lernen Sie auch, eigene Datenkorpora zu erstellen, mit denen Sie weiter arbeiten können MACHINE LEARNING UND KIBinden Sie KI effektiv in Ihre Arbeit ein und lernen Sie, wie Sie ChatGPT und Co. wirklich nutzbringend verwenden können. Mathematische Spezialkenntnisse über die Funktionsweise von KI benötigen Sie übrigens nicht – die Beispiele bleiben problemlösungsorientiert und praxisnah.DATENANALYSE FÜR EINSTEIGER – MIT PYTHON UND KIPython programmieren lernen, ohne sich mit »Hello World« aufzuhalten! In diesem Buch finden Sie praxisnahes Python- und KI-Wissen, das Sie auf Ihre Daten und alltäglichen Probleme anwenden können. Python ist die perfekte Lösung für die Datenanalyse. Der Autor lässt Sie keine lästigen Fingerübungen absolvieren, sondern zeigt Praxisfälle, die Sie für Ihre Zwecke adaptieren können. Anhand konkreter Beispiele lernen Sie die Programmierung mit Python und bekommen hilfreiche Tools für Uni, Wissenschaft und Büro an die Hand. KI einsetzen, Daten analysieren, Routineaufgaben automatisierenMit wichtigen Werkzeugen wie Jupyter Notebooks, pandas und MatplotlibFür Daten aus Excel, Datenbanken, Web-Scraping, XML und vielen mehr Aus dem Inhalt: Loslegen mit Python – ein erstes ScriptArbeiten mit DateienDatenanalyse und -visualisierungMachine Learning und KIDatenbankenAPIs nutzenWeb-Projekte erstellen
Predictive Methods in Next-Generation Computing
Predictive Methods in Next-Generation Computing is essential for anyone looking to understand how next-generation computing technologies are driving predictive models to create smarter, safer, and more sustainable solutions across diverse fields. Computing technologies are significantly evolving in all sectors, aiming to provide an automated, energy-efficient solution for various real-world problems with an advanced predictive model. This book explores computing technologies in various domains and provides novel strategies and designs for a smart, secure, and sustained environment for the future. Predictive Methods in Next-Generation Computing provides a realistic overview of various computer technologies that have made drastic advances in the field of smart applications, resulting in smart agriculture, healthcare, traffic management, and sustainability. The book comprehensively covers predictive models using artificial intelligence, machine learning, and Internet of Things and considers these applications for various smart applications to create a safe, smart environment for everyone. The chapters include real-world case studies, giving readers a glimpse into the benefits of integrating technology into predictive analytics to make the practice more automated, energy-efficient, safe, and profitable. R. Sathiyaraj, PhD is an assistant professor in the Department of Computer Science and Engineering at GITAM University. He has authored two books, served as lead editor for two books, and published five patents and over 20 articles in refereed journals and international conferences. His research interests include machine learning, big data analytics, and intelligent systems. Rajesh Kumar Dhanaraj, PhD is a professor atSymbiosis International University. He has contributed over 45 books on various technologies, 21 patents, and over 90 articles in various refereed journals and international conferences. His research interests include machine learning, cyber-physical systems, and wireless Sensor networks. K. Arun Kumar, PhD is an assistant professor in the Department of Computer Science and Engineering at GITAM University. He has contributed over 15 articles to various reputed journals. His research focuses on wireless networks, data mining, deep learning, and big data. Rutvij H. Jhaveri, PhD is an Associate Professor in the Department of Computer Science and Engineering at Pandit Deendayal Energy University. He has published more than 200 papers in a wide variety of areas in computer scienceand coedited four books. His research interests include software-defined networking, cybersecurity, and smart ecosystems. A. Mohamed Abbas, PhD works in the IT Department at the University of Technology and Applied Sciences, Sultanate of Oman. He has published 23 research articles in reputed international journals and presented 16 papers in international Conferences. Additionally, he has registered four patents, one of which was granted. His research is focused on artificial intelligence, big data, Internet of Things, and machine learning.
Growth Engineering
BUILD SOFTWARE THAT REAL-WORLD CUSTOMERS LOVE TO USE WITH PROVEN, GROWTH-FIRST ENGINEERING STRATEGIES In Growth Engineering: How to Build Systems That Drive Product Success in an AI-Driven World, software engineer, Rita Okonkwo, offers a modern, practical guide for anyone building products that need to thrive in real-world marketplaces. Okonkwo explains how to use clean architectures, thoughtful instrumentation, and Drawing from hands-on experience designing growth systems in large-scale environments, Okonkwo explains how to use clean architectures, thoughtful instrumentation, and experimentation frameworks to drive meaningful, sustainable product growth. She demonstrates how to build software that gains traction, fuels engagement, and supports continuous iteration using proven strategies—feature flighting, data-driven experimentation, logging, metrics, controlled rollouts, scalable data pipelines, real-time analytics, and more. Through practical examples and case studies, she shows how to break down complex systems, ship improvements quickly, and make confident product decisions grounded in data. Packed with actionable techniques for engineers and product leaders who want to create a growth-first engineering culture, Growth Engineering is a must-read for software engineers, product managers, developers, entrepreneurs, and founders—anyone committed to creating commercially successful software that customers love. Build software that users actually use with proven growth-oriented software development strategies In Growth Engineering: How to Build Systems That Drive Product Success in an AI-Driven World, experienced software engineer with the Microsoft Experiences + Devices Growth team, Rita Okonkwo, delivers a strategic guide for anyone interested in building tech products that scale organically through smart technical choices. You'll learn how clean architecture, thoughtful instrumentation, and experimentation frameworks directly influence growth outcomes. With a focus on practical systems and real-world decision-making, this book shows how to build software that gains traction, drives engagement, and supports continuous iteration. You'll learn all about key growth engineering strategies like feature flighting, data-driven experimentation, logging, and metrics tracking. You'll find real-world case studies that break down design systems that support rapid iteration, and data-based product decision-making. Inside the book: Why growth engineering matters and how engineers can get directly involved in itExperimentation strategies, including controlled rollouts and effective A/B testing techniquesHow to build scalable data pipelines and integrate real-time analyticsWays to create a growth-first engineering culture, generating faster iterations without sacrificing quality Perfect for software engineers, product managers, and developers interested in building products that users love, Growth Engineering: How to Build Systems That Drive Product Success in an AI-Driven World is a must-read for entrepreneurs, founders, and other technology business leaders ready to discover how to consistently create commercially successful software. RITA OKONKWO is a software engineer specializing in growth systems. She works in Microsoft’s Experiences + Devices organization, where she focuses on experimentation, intelligence, and scalable growth infrastructure. She combines academic insight with real-world engineering experience to bridge the gap between technical systems and product strategy.
Designing Inclusive Classrooms
Equip yourself with the essential conceptual frameworks and actionable strategies needed to address digital disparities and leverage cutting-edge technologies like AI and virtual reality for creating truly equitable and socially just learning environments. Recently, both the education and technology fields have acknowledged a rising awareness that traditional teaching practices, curricula, and institutional policies can frequently uphold inequalities. These disparities have a greater impact on students belonging to marginalized communities, such as low-income backgrounds, students with disabilities, and racial and ethnic minorities. The global transition to digital and online learning has worsened this problem, highlighting disparities in access and inclusivity. This book will serve as a comprehensive reference for understanding how to create equitable and socially just learning environments by leveraging emerging technologies. The book will cover a wide range of topics, from foundational theories of equity and justice in education to practical applications of cutting-edge technologies such as artificial intelligence, virtual reality, and digital learning platforms. It will provide both a conceptual framework and actionable strategies for designing classrooms that meet the diverse needs of students while promoting fairness, inclusivity, and engagement. In addition to practical guidance, the book will critically examine the challenges and ethical considerations of using technology in the pursuit of equity and social justice. This book will serve as an invaluable resource across the fields of education and technology to create a more equitable future. Designing Inclusive Classrooms Recently, both the education and technology fields have acknowledged a rising awareness that traditional teaching practices, curricula, and institutional policies can frequently uphold inequalities. These disparities have a greater impact on students belonging to marginalized communities, such as low-income backgrounds, students with disabilities, and racial and ethnic minorities. The global transition to digital and online learning has worsened this problem, highlighting disparities in access and inclusivity. This book will serve as a comprehensive reference for understanding how to create equitable and socially just learning environments by leveraging emerging technologies. The book will cover a wide range of topics, from foundational theories of equity and justice in education to practical applications of cutting-edge technologies such as artificial intelligence, virtual reality, and digital learning platforms. It will provide both a conceptual framework and actionable strategies for designing classrooms that meet the diverse needs of students while promoting fairness, inclusivity, and engagement. In addition to practical guidance, the book will critically examine the challenges and ethical considerations of using technology in the pursuit of equity and social justice. This book will serve as an invaluable resource across the fields of education and technology to create a more equitable future. Ashwin Fernandes, PhD is the Executive Director of Amesa Engineering. He founded India’s first nationwide private sector evaluation framework called QS I-GAUGE. He has met with senior leaders and is often invited to speak at conferences and events on university rankings, ratings, education, and higher education. Raul Villamarin Rodriguez, PhD is a Professor and the Vice President of Woxsen University. He has made significant research contributions with more than 800 publications to his credit. His research focuses on artificial intelligence, machine learning, and cognitive psychology. Thangam A., PhD is an Assistant Professor in the Department of English at the Dr. M.G.R. Educational and Research Institute. She has three journal publications to her credit. Sunethra P.K. Thennakoon, PhD is a Professor of Geography and the Director of the International Center for Multidisciplinary Studies at the University of Sri Jayewardenepura. She has more than 70 publications in international journals and conferences. Her research interests include strategic and organizational management and entrepreneurship. Xiaochen Zhang, PhD is Chief Responsible AI Officer and Executive Director at AI 2030 and Global Head of Innovation and Go-to-Market at Amazon Web Services with more than 20 years of experience. He is the founder and CEO of FinTech4Good and an investor at Gaingels, focusing on FinTech and AI ventures. He is a frequent speaker on responsible AI, blockchain, digital finance, policy, climate innovation, and impact investing. Hemachandran Kannan, PhD is the Associate Dean and Director of the AI Research Center at Woxsen University. He has more than 130 publications to his credit, including articles in international journals and conferences. His research interests include artificial intelligence, machine learning, VLSI design, and embedded systems.
Making AI Work for People
Build AI applications that inspire trust in your users and solve real-world problems Making AI Work for People: A Framework for Designing and Building Impactful AI-Powered Applications empowers software engineers, product managers, and app designers to create AI-enabled applications that inspire trust, solve hard problems, and prioritize human needs. Written by Asmaa Ibrahim, Senior AI Consultant at Google and leader of the Gemini in Firebase product launch, this book shows you how to use rapid technological advancement to build successful products that your users can’t get enough of. At the heart of the book is the PRESS framework, a systematic approach ensuring AI products embody five essential principles: People-first design, Responsible in the core, Explainability and interpretability, Safety via benchmarking, and Sustainability and long-term impact. The book demonstrates how to identify AI integration opportunities, design human-centered solutions, measure success with business-focused KPIs, and scale from MVP to production-grade systems while managing costs and infrastructure challenges. This comprehensive guide is essential for software engineers integrating AI into product development, product managers leading AI initiatives, and app designers creating human-AI interfaces. It’s a must-read for executives and technical team managers seeking systematic approaches to responsible AI development that drive measurable business outcomes while maintaining trust, accessibility, and ethical integrity throughout the product lifecycle. Design AI applications that inspire trust, solve real problems, and put people first Making AI Work for People: A Framework for Designing and Building Impactful AI-Powered Applications by Asmaa Ibrahim offers software engineers, product managers, and app designers a comprehensive framework for creating AI-powered applications that truly serve humanity. Ibrahim, Product Lead at Aleph Alpha, experienced ML team leader, AI-driven transformation expert, and leader of the team that created Gemini in Firebase, addresses the critical challenge facing today's tech professionals: how to harness AI's transformative potential while guaranteeing applications remain ethical, accessible, and aligned with human values. This book explores cutting-edge innovation and provides the PRESS framework for designing human-first solutions that enhance – rather than replace – human capabilities. The PRESS framework is a systematic approach that guarantees AI-powered products are designed with five essential principles in mind: People-first design, Responsible in the core, Explainability and interpretability, Safety via benchmarking, and Sustainability and long-term impact. The author offers real-world case studies, proven development methodologies, and insights from successful AI implementations across the telecom, retail and other sectors, showing you how to navigate the complex landscape of AI integration while remaining laser-focused on user needs, trust, and ethics. The book covers everything from identifying opportunities for AI integration and measuring success with human-centered KPIs to scaling applications from MVP to production-grade systems. Making AI Work for People also includes: A comprehensive PRESS framework that guides every stage of AI product development from conception to deploymentPractical strategies for human-AI collaboration that amplify rather than replace human strengths and capabilities in real-world applicationsA proven evaluation flywheel to guarantee that AI applications meet real user needsReal-world case studies from telecom and retail demonstrating successful human-first AI implementationsEssential guidance for scaling AI applications while managing costs, infrastructure challenges, and long-term maintenance requirements This book is essential for software engineers integrating AI into product development, product managers leading AI initiatives, and app designers creating human-AI interfaces who want to build applications that inspire trust and deliver genuine value through the PRESS framework. It's also a must-read for executives and managers of technical teams seeking crucial insights into systematic, responsible AI development practices that drive measurable business outcomes. ASMAA IBRAHIM is a Senior AI Consultant at Google where she led the Gemini in Firebase product launch. She has more than 15 years’ experience in tech, including 9 years dedicated to AI-driven digital transformation efforts. She’s an expert in software engineering, UX collaboration, and business leadership.
The AI Cybersecurity Handbook
The essential framework for integrating artificial intelligence into modern cybersecurity strategy In The AI Cybersecurity Handbook, Caroline Wong—recognized cybersecurity strategist, IANS Faculty Member, and Director at Teradata—defines the new strategic frontier where artificial intelligence and information security converge. Drawing on two decades of executive and technical leadership across governance, risk, compliance, and software security, Wong examines how AI is reshaping both attack and defense. She provides a practical yet forward-looking blueprint for implementing adaptive, AI-driven defenses; mitigating data and model risk; and embedding responsible AI principles into enterprise cybersecurity programs. Through detailed analysis and real-world examples, Wong reveals how threat actors are exploiting AI to accelerate and disguise attacks—and how leading organizations can counter with intelligent detection, predictive analytics, and autonomous response capabilities. Written for security executives, technical leaders, and business decision-makers, The AI Cybersecurity Handbook delivers a cohesive strategy for harnessing AI responsibly, strengthening resilience, and anticipating the next generation of cyber threats. An up-to-date exploration of how AI is transforming cybersecurity and how to implement AI in your organization’s cyber defenses to meet today’s evolving threat landscape In The AI Cybersecurity Handbook, author Caroline Wong examines AI’s impact on both offensive and defensive cybersecurity strategies. Wong explains how artificial intelligence has transformed the way cyberattacks are carried out and how technology professionals prepare for and defend against them. On the offensive side, the author explores how AI is being used to automate, accelerate, and personalize attacks against targets. She shows you how these technologies make cyberattacks cheaper to carry out, harder to detect, and easier to automate at scale--broadening the impact beyond initial targets to include partners, third parties, and critical connected systems. For defenders, this book demonstrates how to use AI to evolve past traditional, rules-based cybersecurity defense to an adaptive model that evolves in real-time to counteract emergent risks and novel attack vectors. These new systems rely on continuously updated data inputs and form resilient bulwarks against formidable threats. Inside the book: Hands-on strategies for minimizing operational barriers to AI implementation to enable new capabilities for defenders and allow for the use of powerful tools, like smart data enrichment, AI-powered query engines, and self-initiating security actionsUp-to-date discussions of how to use AI to accelerate your cybersecurity responses while improving their accuracy, including anomaly detection, threat identification, and dynamic mitigation processesExpert advice for building resilient AI-enabled cybersecurity without compromising on AI ethics Perfect for cybersecurity professionals, IT managers, developers and business leaders looking for actionable guidance on the integration of AI into their IT security practices, The AI Cybersecurity Handbook offers accessible strategies well-suited to people with varying levels of technical expertise. It’s a must-read book for everyone with a stake in safeguarding digital assets. CAROLINE WONG is a recognized cybersecurity strategist with nearly 20 years of experience in GRC, product security, and executive leadership. She serves as Director at Teradata and Faculty with IANS Research, advising Fortune 500 organizations on governance, risk, and resilience. Caroline is the author of Security Metrics: A Beginner’s Guide—inducted into the Cybersecurity Canon Hall of Fame (2022)—and hosts three industry podcasts: Humans of InfoSec, The AI Security Edge, and Wake Up. Her career spans leadership roles at eBay, Zynga, Symantec, Cigital, and Cobalt.
Artificial Intelligence and Biodiversity
Harness the power of the digital frontier to save our planet with this essential guide, which demonstrates how deep learning, genetic engineering, and AI-based robotics can be integrated to track biodiversity, restore genetic diversity, and rebuild fragile ecosystems with unprecedented precision. From satellite imagery to genetic sequencing, AI is helping researchers track biodiversity, predict ecosystem changes, and monitor endangered species with unprecedented precision. This book delves into the exciting ways that artificial intelligence (AI), particularly deep learning, is being used to analyze complex ecological data. It offers an in-depth look at how these AI-driven technologies are transforming how we approach biodiversity conservation on a global scale, examining the role of genetic engineering, guided by AI, in restoring genetic diversity and helping species adapt to rapidly changing environments. Additionally, the book highlights how AI is revolutionizing ecosystem restoration, using AI-based robotics and reinforcement learning to restore habitats such as forests, wetlands, and coral reefs. It looks at real-world applications where AI systems are actively being used to rebuild damaged ecosystems, suggesting new ways to restore balance to nature. Through a combination of practical case studies and theoretical insights, this guide serves as an essential resource for anyone interested in the future of conservation, whether you are an AI specialist, an environmental scientist, or simply someone passionate about protecting the planet. By blending the latest in AI research with real-world biodiversity challenges, this book paints a picture of a future where technology and nature work hand in hand to safeguard life on Earth. Umesh Kumar Lilhore, PhD is a Professor in the Department of Computer Science and Engineering at Galgotias University. He has authored ten books, more than 100 research articles in journals, and filed 50 patents across India and the UK. His research interests include artificial intelligence, machine learning, and software engineering. Sarita Simaiya, PhD is a Professor of Computer Science and Engineering at Galgotias University with more than 17 years of teaching and research experience. She has published more than 140 articles in international journals and conferences. Her research focuses on machine learning, Internet of Things, and AI. Surjeet Dalal, PhD is a Professor and researcher with more than 20 years of experience in teaching and research in Computer Science and Engineering. He has published more than 140 articles in international journals and conferences. His research interests include artificial intelligence and cloud computing. Martin Margala, PhD is the Director of the School of Computing at the University of Louisiana at Lafayette with more than 25 years of experience in teaching and research. He has more than 400 publications to his credit, including in international journal articles and conference proceedings. He specializes in exascale computing, ultra-high frequency design, and design for reliability.
Retrospektiven in der Praxis
Know-how, um Retrospektiven kreativer und erfolgreicher zu gestalten •Kompaktes Referenzwerk mit neuen Impulsen für die Vorbereitung, Durchführung und Nachbereitung von Retrospektiven •Leicht verständlich geschrieben mit vielen motivierenden Beispielen und Tipps aus der Praxis •Ein Werkzeugkoffer für Moderatoren, Facilitatoren und Change Agents Retrospektiven sind eine der tragenden Säulen eines erfolgreichen Change-Prozesses und eines der wichtigsten Werkzeuge, um die notwendigen kulturellen Veränderungen in Teams und in der Organisation zu initiieren und zu begleiten. Sie können überall dort eingesetzt werden, wo ein kontinuierlicher Verbesserungsprozess etabliert werden soll. Praxisnah und mit vielen Beispielen beschreibt der Autor, wie Retrospektiven vorbereitet, moderiert und ergebnisorientiert durchgeführt werden. Er geht dabei auch auf verteilte, lösungsorientierte und systemische Retrospektiven ein und zeigt typische Probleme und Fallstricke auf. Die 2. Auflage vertieft die Arbeit mit verteilten Teams, was beim Setting von Online-Gesprächen und -Meetings zu beachten ist sowie Change Management mit Retrospektiven und wurde um das Thema »Psychologische Sicherheit« ergänzt.
Retrospektiven in der Praxis
Know-how, um Retrospektiven kreativer und erfolgreicher zu gestalten •Kompaktes Referenzwerk mit neuen Impulsen für die Vorbereitung, Durchführung und Nachbereitung von Retrospektiven •Leicht verständlich geschrieben mit vielen motivierenden Beispielen und Tipps aus der Praxis •Ein Werkzeugkoffer für Moderatoren, Facilitatoren und Change Agents Retrospektiven sind eine der tragenden Säulen eines erfolgreichen Change-Prozesses und eines der wichtigsten Werkzeuge, um die notwendigen kulturellen Veränderungen in Teams und in der Organisation zu initiieren und zu begleiten. Sie können überall dort eingesetzt werden, wo ein kontinuierlicher Verbesserungsprozess etabliert werden soll. Praxisnah und mit vielen Beispielen beschreibt der Autor, wie Retrospektiven vorbereitet, moderiert und ergebnisorientiert durchgeführt werden. Er geht dabei auch auf verteilte, lösungsorientierte und systemische Retrospektiven ein und zeigt typische Probleme und Fallstricke auf. Die 2. Auflage vertieft die Arbeit mit verteilten Teams, was beim Setting von Online-Gesprächen und -Meetings zu beachten ist sowie Change Management mit Retrospektiven und wurde um das Thema »Psychologische Sicherheit« ergänzt.
Vibe Coding professionell
Die Softwareentwicklung von morgen beginnt heute• Mit KI-Kompetenz die eigene Karriere zukunftssicher gestalten: für Einsteiger und erfahrene Developer.• Für die gesamte Softwareentwicklung von Prototyping und Web-App-Entwicklung bis zu Qualitätssicherung und Sicherheitsfragen• Inklusive Vibe-Coders-Toolkit mit fortgeschrittenen Techniken und Best Practices KI verändert die Softwareentwicklung: Programmierer schreiben nicht mehr nur Code, sondern arbeiten mit der KI, indem sie ihr Intentionen und Ziele mitteilen – das ist Vibe Coding. Das Buch zeigt, wie KI-gestützte Tools wie GitHub Copilot und OpenAI Codex die Softwareentwicklung nachhaltig verändern: von der Automatisierung von Routineaufgaben bis zu KI-Input bei Architektur- und Designentscheidungen. Dieser Leitfaden bietet Entwicklern, technischen Leiterinnen und Unternehmen praktische Strategien, um KI effektiv in ihre Arbeitsabläufe zu integrieren. Sie erfahren, wie Sie KI-generierten Code optimieren, Prompt Engineering souverän beherrschen und fortgeschrittene Techniken wie Modelloptimierung und agentenbasierte Softwareentwicklung nutzen.
Google Cloud Certified Cloud Digital Leader Study Guide
A comprehensive and authoritative guide to succeeding on the Google Cloud Certified Cloud Digital Leader exam The Google Cloud Certified Cloud Digital Leader Study Guide is your hands-on resource for comprehensive coverage of the Cloud Digital Leader exam. This Sybex Study Guide covers 100% of the exam’s domain competencies. Prepare for the exam smarter and faster with Sybex thanks to efficient and robust content, including an assessment test that validates and measures exam readiness, objective map, real-world examples and scenarios, practical exercises, and challenging chapter review questions. Remember and retain what you’ve learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get prepared for the Cloud Digital Leader exam with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you’ll be ready for: Digital Transformation with Google CloudExploring Data Transformation with Google CloudInnovating with Google Cloud Artificial IntelligenceModernize Infrastructure and Applications with Google CloudTrust and Security with Google CloudScaling with Google Cloud Operations ABOUT THE GOOGLE CLOUD DIGITAL LEADER CERTIFICATION A Cloud Digital Leader can articulate the capabilities of Google Cloud core products and services and how they benefit organizations. They can also describe common business use cases and how cloud solutions support an enterprise. 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 A foundational introduction to Google Cloud core technologies to help you ace the exam and prepare for a brand-new career In Google Cloud Certified Cloud Digital Leader Study Guide, Google AI Leader, Jon Flynn, delivers an easy-to-follow and authoritative guide to succeeding on the Cloud Digital Leader Exam and on your first day as a Google Cloud professional. In the book, you’ll find all the material you need to prepare for this valuable exam, as well as the info that you’ll require to collaborate with Google Cloud professionals at your job, whether you’re in a business, finance, sales, or marketing role. You’ll learn to articulate the capabilities of Google Cloud core products and services and how they might benefit your organization, as well as explain common business use cases of various cloud solutions. The book includes: Efficient and effective learning strategies for every objective on the Cloud Digital Leader exam, including digital transformation, data innovation, infrastructure and application modernization, security, and operationsJob-ready techniques to help you hit the ground running on your first day in your new career as a Google Cloud professionalComplimentary access to the online Sybex learning environment, complete with a pre-book assessment quiz, online test bank and practice test, electronic flashcards, and a searchable glossary The perfect resource for anyone preparing for the foundational Cloud Digital Leader exam, Google Cloud Certified Cloud Digital Study Guide is the ideal book for anyone who collaborates with Google Cloud professionals and those preparing for a new career using Google Cloud core technologies. ABOUT THE AUTHOR JON FLYNN is Head of AI Sales at Google where he leads an AI sales team that focuses on go-to-market (GTM) strategies and digital transformation in finance, construction, tech, media, telecom, gaming, retail, and other industries. He’s an expert in content production, distribution, storytelling, and global entertainment.
Ihr Smart Home mit Home Assistant (2. Auflg.)
Home Assistant strukturiert einrichten und individuelle Heimautomation sicher umsetzen Sowohl für Einsteiger als auch technisch versierte Anwender, die ihr Smart Home herstellerunabhängig und flexibel steuern möchtenSystematischer Einstieg von Installation und Konfiguration bis zur stabilen GeräteintegrationAutomationen mit Szenen und Blueprints entwickeln sowie eigene YAML-Skripte erstellenEigene Smart-Home-Geräte mit ESPHome einbinden und gezielt erweiternSicherheit, Backups und langfristig stabile Systemarchitektur Home Assistant einrichten und anpassen In diesem Quickstart-Guide erhalten Sie das nötige Wissen, um Home Assistant in Betrieb zu nehmen und Ihr Smart Home an Ihre persönlichen Bedürfnisse anzupassen. Hierbei liegt ein besonderer Schwerpunkt auf Sicherheit, Flexibilität und Stabilität. Ein kurzer Rundgang durch die Benutzeroberfläche macht Sie mit allen wichtigen Funktionen vertraut. Automation für Einsteiger und FortgeschritteneSie erhalten eine leicht verständliche Einführung in die Automation mit Szenen und Blueprints. Vielseitig einsetzbare Beispiele wie smarte App-Benachrichtigungen oder die Verarbeitung von Wetterdaten dienen als Ausgangspunkt für individuelle Automationen. Technisch versierte Nutzer erfahren, wie sie Skripte von Grund auf selbst erstellen und eigene Smart-Home-Geräte mit ESPHome einbinden. Aus der Praxis für die PraxisSie profitieren von der jahrelangen Erfahrung des Autors. Praktische Tipps und unverzichtbare Must-have-Einstellungen helfen Ihnen, typische Stolperfallen zu vermeiden und Ihre Heimautomation ganz nach Ihren Vorstellungen umzusetzen.Aus dem Inhalt: Installation und EinrichtungBenutzeroberfläche kennenlernenWichtige Einstellungen und individuelle KonfigurationSicherheit und BackupsNeue Geräte hinzufügenEntscheidungshilfe: ZigBee, Z-Wave, Matter, Thread oder WLANZonen, Bereiche, Etagen und LabelsAutomation mit Szenen und VorlagenSkripte und YAML-CodeEigene Smart-Home-Geräte mit ESPHomeCompanion App für Mobilgeräte Oliver Kluth beschäftigt sich seit 2018 täglich mit Home Assistant und teilt seine gemachten Erfahrungen und hierauf aufbauende Tipps unter smarterkram.de und auf YouTube. Als Familienvater liegt sein Fokus darauf, das eigene Smart Home in den bestmöglichen Einklang mit dem Familienleben zu bringen, ohne hierbei auf Komfort verzichten zu müssen.
Die Adaptive Lernpräferenzdiagnostik - Ein neuer Blick auf KI-gestütztes Lernen, bei dem der Mensch im Mittelpunkt steht
Dieses Buch beleuchtet, warum viele digitale Lernsysteme trotz fortschrittlicher Technologien die Logik traditioneller Bildung reproduzieren und damit ihr Potenzial nicht vollständig entfalten. Es eröffnet neue Perspektiven auf Lernen im Zeitalter von Künstlicher Intelligenz und zeigt, weshalb ein tieferes Verständnis menschlicher Lernprozesse entscheidend ist. Mit der Neuentwicklung der Adaptive Lernpräferenzdiagnostik (ALPD) stellt der Autor einen konzeptionellen Rahmen vor, der EdTech-Organisationen, Bildungsträgern und Entwicklern hilft, Lernsysteme verantwortungsvoll, wirksam und zukunftsfähig zu gestalten.
Human-AI Collaboration in Production Management
The advent of artificial intelligence (AI) and machine learning (ML) has significantly transformed production management in industrial manufacturing by enabling data-driven decision-making. While human decision-making is valued for its adaptability and contextual understanding, AI-driven systems offer the advantage of faster, data-driven decisions. The concept of hybrid intelligence combines these two poles by utilizing the potential of AI without neglecting the necessary integration of human expertise. However, a structured method for determining the appropriate degree of automation – defining the division of tasks between humans and AI for each decision – is still lacking. Thus, this thesis develops a framework to determine the optimal level of Human-AI collaboration for production management use cases. This framework enables organizations to leverage AI effectively across various scenarios, complementing human expertise to enhance operational efficiency and decision-making processes. By offering a systematic method, the framework helps avoid suboptimal AI/ML deployments and supports organizations in harnessing hybrid intelligence for innovative and future-ready production management.
Psychiatry and Technology
Modernize your psychiatric practice with this comprehensive guide, which explores the transformative power of AI-powered therapy, virtual reality exposure therapy, and digital health technologies to create more accessible, personalized, and effective mental health interventions. Historically, psychiatry has relied on traditional face-to-face interactions, manual assessments, and pharmacological treatments. However, the advent of digital health technologies has begun to transform these conventional methods, offering new tools and approaches that promise to enhance the effectiveness, accessibility, and personalization of mental health care. From AI-powered therapy bots to virtual reality exposure therapy, this book will delve into the innovative ways technology is reshaping the field of psychiatry. With insightful discussions, case studies, and expert insights, this book will serve as a comprehensive guide to understanding the transformative power of technology in mental health care. Raghavendra M. Devadas, PhD is an Assistant Professor at the Manipal Institute of Technology at the Manipal Academy of Higher Education. He has edited two books, filed two patents, and received two grants. His areas of interest include machine learning, software engineering, fuzzy logic, and databases. Vani Hiremani, PhD is an Assistant Professor at the Symbiosis Institute of Technology with more than 15 years of experience. Her work spans high-impact publications, patents, and books in AI-driven applications. Her research specializes in computer vision, deep learning, AI, and machine learning. Preethi, PhD is as an Assistant Professor in the Department of Information Technology at the Manipal Institute of Technology with more than 17 years of teaching experience. She has more than 35 publications in international journals and conferences of repute. Her research interests include computer architecture, IoT, cybersecurity, and image processing. Praveen Gujjar, PhD is an Associate Professor and Area Head of Business Analytics in the CMS Business School at Jain University with more than 16 years of teaching experience. He has authored numerous publications in reputed journals, holds 86 patents, and has secured major research grants from multiple entities. He specializes in data visualization, predictive analytics, and prescriptive analytics. Sapna R., PhD is an Assistant Professor in the Manipal Institute of Technology. She has published more than 60 research articles in international journals and conferences of repute. Her areas of interest include machine learning, semantic web, image processing, and IoT. Manoj Shettar, PhD is an Associate Professor in the Department of Psychiatry at the Sri Dharmasthala Manjunatheshwara College of Medical Sciences and Hospital and a compassionate psychiatrist with more than eight years of clinical, teaching, and research experience. He is actively involved in undergraduate and postgraduate teaching, with a strong emphasis on diagnosis, therapy, and patient management.
Microsoft Office - Der leichte Start in Word, Excel und PowerPoint
Microsoft Office – Der leichte Start in Word, Excel und PowerPoint Ob im Alltag, im Beruf, im Studium oder für Ihr Hobby: Entdecken Sie die Möglichkeiten von Word, Excel und PowerPoint! Dieses Buch führt Einsteiger Schritt für Schritt in die Programme von Microsoft Office ein – Vorkenntnisse sind dabei nicht erforderlich. Lernen Sie, wie Sie mit dem Textverarbeitungsprogramm Word u. a. Briefe schreiben und Ihre Texte um Bilder und Tabellen ergänzen. Excel ist der Spezialist für Tabellen: Erstellen Sie im Handumdrehen Adresslisten oder gestalten Sie Ihre persönliche Finanzübersicht. Teil 3 zeigt Ihnen, wie Sie mit PowerPoint und seinen grafischen Fähigkeiten z. B. Fotoalben und individuelle Geburtstagsgrüße als effektvolle Bildschirmpräsentation kreieren, in denen auch Animationen nicht fehlen. Die Autorinnen kennen durch ihre langjährige Erfahrung als Dozentinnen die typischen Fragen von Anfängern und wissen, wie komplexe Sachverhalte einfach zu erklären sind. Wie in einem Kurs leiten sie ihre Leser durch die unzähligen Möglichkeiten von Word, Excel und PowerPoint und geben Tipps, die Ihre Arbeit erleichtern. Für die Versionen Microsoft 365 sowie Office 2024 und 2021 Aus dem Inhalt: Word: Dokumente erstellen, speichern und drucken Texte eingeben und formatieren Rechtschreib- und Grammatikprüfung nutzen Aufzählungen und Nummerierungen hinzufügen Bilder und Tabellen einfügen Das Seitenlayout einrichten Excel: Aufbau von Excel-Arbeitsmappen und Tabellen Text, Zahlen und Datum in Tabellen eingeben Inhalte übersichtlich gestalten und drucken Summen und einfache Formeln berechnen Adressen- und Geburtstagslisten gestalten Ihre persönliche Finanzübersicht erstellen PowerPoint: Folien mit Text und Bildelementen gestalten Vorlagen nutzen und anpassen Ein Fotoalbum als Präsentation erstellen Folienübergänge einsetzen Elemente mit Animationseffekten versehen Die fertige Präsentation vorführen – u. v. m.
Creational Design Patterns in Java
Discover a focused and practical introduction to creational design patterns in Java. This book is designed to help busy Java developers quickly understand the importance of high-quality software design, showing how creational patterns contribute to building flexible, maintainable, and scalable applications. You will explore five key patterns: Simple Factory, Factory Method, Singleton, Builder, and Prototype—along with an insightful discussion on Dependency Injection. Each pattern is explained with real-world scenarios, practical examples, and complete Java implementations using the latest language version. It also includes Q&A sessions throughout the book to help reinforce understanding and prepare you for technical interviews. This pocket guide is concise and beginner-friendly. It offers a modern approach for busy Java developers seeking to master creational design patterns without feeling overwhelmed. What You Will Learn: Understand the core concepts and benefits of design patterns.Explore real-world applications of creational design patterns.Implement each pattern hands-on using the latest version of Java.Compare traditional patterns with their alternatives, analyzing pros and cons.Prepare for technical interviews through interactive Q&A sessions. Who This Book is for: Java developers with OOP experience who are new to design patterns and want to strengthen their software design skills.
AI Agents for Secure and Software-Defined Networking
This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough—this book reveals how AI agents bring autonomy, intelligence, and adaptability to meet these challenges. The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques—including reinforcement learning, graph neural networks, and explainable AI—can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems—essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure. What you will learn: Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recovery Who this book is for: This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense.
Künstliche Intelligenz für Dummies
So verlieren Sie Ihre natürliche Scheu vor der Künstlichen Intelligenz Künstliche Intelligenz begegnet uns immer mehr im täglichen Leben. Egal ob intelligente Autos, Roboter, Chatbots oder Systeme, die uns im Schach und Go besiegen, KI wird immer wichtiger. Ralf Otte beschreibt präzise und dennoch so einfach wie möglich diejenigen Algorithmen, die all das ermöglicht haben, erläutert Beispielanwendungen aus Industrie und Gesellschaft und zeigt darüber hinaus klare Grenzen für die Künstliche Intelligenz der nächsten Jahre auf. In dem Buch werden auch die mathematischen Grundlagen der KI besprochen, sie sind jedoch nicht zwingend notwendig, um die Kernaussagen des Buches zu verstehen. Sie erfahren Was der Unterschied zwischen Schwacher und Starker KI istWie Large Language Models funktionierenWie Maschinen denken und lernenWie die Zukunft der KI aussieht Dr. Ralf Otte ist Professor für Automatisierungstechnik und Künstliche Intelligenz an der Technischen Hochschule Ulm. Seit über 30 Jahren arbeitet er im Bereich der KI und ist Autor von zahlreichen KI-Büchern, unter anderem Allgemeinbildung Künstliche Intelligenz für Dummies.
Digitaler Zwilling zur Virtualisierung von Arbeitsprozessen am Powertrain-in-the-Loop-Prüfstand
Die zunehmende Verlagerung komplexer Fahrzeugerprobungen auf Hardware-in-the-Loop-Prüfstände reduziert Fahrzeugentwicklungszeiten und -kosten, geht jedoch mit einer gestiegenen Komplexität der Echtzeitsimulation einher. Jannes Schilling untersucht daher, wie digitale Zwillinge zur Virtualisierung von Arbeitsprozessen an Antriebsstrangprüfständen beitragen und dadurch die Effizienz der Erprobung steigern können. Dafür wird ein iterativer Prozess vorgestellt, bei dem basierend auf einem initialen digitalen Zwilling schrittweise operative digitale Zwillinge aufgebaut werden. Diese operativen Zwillinge ermöglichen es, Erprobungen virtuell vorzubereiten und zu analysieren, bevor sie auf den realen Prüfstand übertragen werden. Die Anwendung des Prozesses anhand der Entwicklung eines hochdynamischen Fahrermodells zeigt, dass sich sowohl die Messdatenqualität verbessert als auch die Prüfstandsdurchlaufzeiten verkürzen. Dabei werden moderne Methoden wie Reinforcement Learning eingesetzt, um Fahrer- und Fahrzeugverhalten realistisch zu modellieren und die Potenziale digitaler Zwillinge zu bewerten.
Developer Relations Activity Patterns
Developer relations (DevRel) go beyond just blog posts, conference talks, and clever tweets. It is a discipline grounded in intention, empathy, and consistent actions. This book outlines foundational strategies employed by successful DevRel teams in just 39 focused patterns. Using a tactical approach to effectively engage in developer relations, eachpattern is based on real-world experience and designed for scalability. By using a pattern form to describe the various activities of developer relations in detail, the book clearly lays out the intention, shows how to create empathy with your audience, and provides a clear guide on how to execute it. Within this book, you'll discover how to extend your reach, enhance meaningful interactions, and align your initiatives with both developer communities and company strategy without compromising your values or experiencing burnout. Whether you're a solo advocate, managing a small startup team, or leading DevRel on a larger scale, Developer Relations Activity Patterns is your practical playbook for refining strategy and amplifying your impact. You will: Gain a greater understanding of what developer relations means and the range of activities under its remitLearn the tools, approaches, and new tactics for developer community engagementUnderstand how and when to apply each tactic, based on your aims and objectives This Book Is For: Developer Relations teams, including group leaders, direct reports, senior executives in the developer community, and company product managers looking to understand and establish a DevRel function in their organization.