Über uns

À propos de nous

Open Access

Karriere

Carrière

Aboverträge Kündigen

Résiliation d’abonnement

Vertrag widerrufen

Résiliation de contrat 

Datenschutz

Protection des données

Impressum

Mentions légales

Barrierefreiheit

Accessibilité

Zahlung und Lieferung

Paiement et livraison

Libra

Was ist Libra?

C'est quoi Libra ?

Kostenlos testen

Tester gratuitement

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Aktienrecht

Droit des sociétés anonymes

Persönlichkeitsrecht

Droit de la personnalité

Publikationen

Publications

Literatur

Digitales Angebot

Bücher

Livres

Buchreihen

Collections

Onlinemodule LEXIA

Modules en ligne LEXIA

recht.ch

Studienliteratur

Littérature pour les études

Swisslex

Dienstleistungen

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Open Access Policy

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Unser Magazin

Notre magazine

Vision und Mission

Vision et mission

Partner

Partenaires

Unternehmenskultur

Culture d'entreprise

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Sortiment & Suche

Catalogue & Recherche

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Fachkatalog Recht

Catalogue de droit

Richards M: Handbuch moderner
Softwarearchitektur

Handbuch moderner Softwarearchitektur

Architekturstile, Patterns und Best Practices

Routledge Studies in Central and Eastern European Business and Economics

Strategies for Digital Transformation, Adoption and Organisational Change

Cloud Computing in Manufacturing

Building Generative AI Solutions for Industry with AWS is a comprehensive guide for developers, and data scientists aiming to harness the power of Generative AI across a range of industrial domains using Amazon Web Services. This hands-on book provides readers with the knowledge and practical skills to design, secure, govern, and deploy GenAI solutions effectively in real-world environments.

The book begins with an introduction to the fundamentals of Generative AI and the AI/ML services offered by AWS. Readers will explore industry use cases and learn how to kick-start their journey building GenAI applications on the AWS cloud. It focuses on security and governance, covering essential practices for data privacy, access control, encryption, compliance, and ethical AI deployment. Each chapter then dives deep into specific industry applications—automotive, manufacturing, healthcare, financial services, and media &amp; entertainment. From autonomous driving and predictive maintenance to fraud detection and content creation, readers will learn how GenAI is transforming operations and unlocking new opportunities in these fields. The book also addresses cost management strategies for GenAI on AWS, offering guidance on optimizing resources and budgeting efficiently.

Concluding with future possibilities and implementation best practices, this book equips professionals with the tools and insights to build scalable, secure, and compliant GenAI systems tailored to their domain.

What you will learn:

Understand the fundamentals of Generative AI and AWS AI/ML services.

How to build and deploy secure, compliant GenAI applications on AWS.

Explore real-life GenAI use cases across industries like automotive, healthcare, and finance.

Gain insights into managing GenAI costs and optimizing AWS resources.




Who this book is for:

Software developers, machine learning engineers, data scientists, and cloud architects who want to build real-life Generative AI solutions using AWS.

Improve operational Efficiency and Scalability with AWS

Building Generative AI Solutions for Industries with AWS

nuggets

Technische Innovationen wie das Internet der Dinge, Cloud Computing und Big Data revolutionieren nicht nur die Produktion und die Nutzung von Gütern. Sie verändern auch das Marketing, denn sie ermöglichen eine nie dagewesene Vernetzung, Datenanalyse und Interaktivität.
Das zeigt sich eindrucksvoll am Beispiel Digitaler Zwillinge, die - als virtuelles Abbild eines Produkts - die reale mit der digitalen Welt verbinden. Unternehmen geben sie die Möglichkeit, smarte, individualisierte Produkte und Services zu gestalten, die sich individuell auf die Nutzerbedürfnisse einstellen. Digitale Zwillinge sind der Schlüssel, um innovative Produkte effizient zu entwickeln, zu überwachen, zu steuern und zu optimieren. Zudem können sie auch bei der Prognose von Kundenverhalten helfen.
Kerstin Pezoldt erklärt in diesem nugget-Band kompakt und präzise was Digital Twins im Produktlebenszyklus leisten und welche Rolle sie bei der Vermarktung von Konsumgütern spielen, etwa bei PKWs und Smartphones aber auch bei Haushaltsgeräten und nicht zuletzt bei sog. Smart-Home-Lösungen.

Definition, Funktionsweise und Nutzungsoptionen

Digitale Zwillinge im Marketing

In Networked Business, Paul Grefen returns with the third edition of his tried and tested BOAT framework for advanced e-business, covering the spectrum from business models via organization structures and digital system architectures to information technology.Today's successful organizations are complex; they are part of dynamic business networks built on digital channels, going far beyond traditional e-commerce. This book provides invaluable insights of modern digitally enabled networked business, going much further than the usual analysis of traditional e-business texts. It is heavily expanded and updated with the latest developments of digitally connected business, including new topics like value-oriented business, business optimization loops, (generative) artificial intelligence, and technology hype cycles.This essential text provides a compact roadmap to networked business for engineering, information systems or business students as well as professionals in the field.

Charting Digitally Enabled Business Collaboration

Networked Business

Prinzipien der Softwareentwicklung mit GenAI, Chat und Agenten

Vibe Coding

This book offers a complete yet approachable guide to software-defined vehicles (SDVs), explaining how modern cars are evolving from fixed-function, hardware-centric machines into continuously updatable software, data, and service platforms. It shows what that transformation means for engineers, architects, product leaders, researchers, and educators, beginning with SDV fundamentals and tracing the industry’s shift from legacy ECU-heavy designs to domain, zonal, and centralized architectures.

From there, the book explores the technologies that make SDVs possible: automotive silicon, operating systems and middleware—from AUTOSAR and RTOS to Linux and Android Automotive—in-vehicle networking, V2X communication, cloud and edge platforms, digital twins, CI/CD workflows, OTA update pipelines, and the growing role of AI in perception, analytics, personalization, and fleet-scale learning.

It also examines the disciplines required to make SDVs viable in production, including functional safety, SOTIF, cybersecurity, software update governance, and global regulatory compliance. Beyond engineering, the book shows how telemetry, connected services, subscriptions, data-driven offerings, and platform ecosystems are reshaping the automotive business model and creating new paths to monetization.

Real-world OEM and Tier-1 examples, worked exercises, design checklists, and "Critic’s Notes" ground each topic in practical trade-offs, while the closing chapters map emerging career and skills pathways across engineering, research, and business.

You Will:

Understand the full SDV stack—from E/E architectures and automotive silicon to middleware, networking/V2X, cloud/edge platforms, AI/data pipelines, and OTA update systems



Evaluate the trade-offs behind zonal and centralized architectures, digital-first development, safety-security co-engineering, and compliance with ISO 26262, ISO 21448, ISO/SAE 21434, UNECE WP.29, and ISO 24089



Analyze how SDV platforms create value through connected services, telemetry, digital twins, subscriptions, data-driven business models, and the emerging roles and skills required across engineering, research, and business




This book is for:

Embedded, software, systems, middleware, cloud/DevOps, safety, and cybersecurity engineers; E/E and platform architects; automotive product and program managers; and graduate students, researchers, and educators seeking a system-level view of software-defined vehicles.

From Silicon Architecture to Platform Monetization

Software-Defined Vehicles

Unlock the power of Oracle Database 23ai, 26ai and Autonomous Database Serverless (ADB-S) with this comprehensive guide to the latest innovations in performance, security, automation, and AI-driven optimization. As enterprises embrace intelligent and autonomous data platforms, understanding these capabilities is essential for data architects, developers, and DBAs.

Explore cutting-edge features such as vector data types and AI-powered vector search, revolutionizing data retrieval in modern AI applications. Learn how schema privileges and the DB_DEVELOPER_ROLE simplify access control in multi-tenant environments. Dive into advanced auditing, SQL Firewall, and data integrity constraints to strengthen security and compliance.

Discover AI-driven advancements like machine learning-based query execution, customer retention prediction, and AI-powered query tuning. Additional chapters cover innovations in JSON, XML, JSON-Relational Duality Views, new indexing techniques, SQL property graphs, materialized views, partitioning, lock-free transactions, JavaScript stored procedures, blockchain tables, and automated bigfile tablespace shrinking.

What sets this book apart is its practical focus—each chapter includes real-world case studies and executable scripts, enabling professionals to implement these features effectively in enterprise environments. Whether you're optimizing performance or aligning IT with business goals, this guide is your key to building scalable, secure, and AI-powered solutions with Oracle 23AI and ADB-S.

What You Will Learn

Explore Oracle 23AI's latest features through real-world use cases

Implement AI/ML-driven optimizations for smarter, autonomous database performance

Gain hands-on experience with executable scripts and practical coding examples

Strengthen security and compliance using advanced auditing, SQL Firewall, and blockchain tables

Master high-performance techniques for query tuning, in-memory processing, and scalability

Revolutionize data access with AI-powered vector search in modern AI workloads

Simplify user access in multi-tenant environments using schema privileges and DB_DEVELOPER_ROLE

Model and query complex data using JSON-Relational Duality Views and SQL property graphs




Who this Book is For

Database architects, data engineers, Oracle developers, and IT professionals seeking to leverage Oracle 23AI’s latest features for real-world applications

Exploring New Features with Hands-On Case Studies

Oracle 23ai & ADBS in Action

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 von Grund auf: Entwickler schreiben nicht mehr nur Code, sondern arbeiten mit der KI zusammen. Durch Prompting in natürlicher Sprache teilen sie der KI Anforderungen und Absichten mit und das Sprachmodell erzeugt den Code - mit enormer Geschwindigkeit, aber auch potenziellen Qualitätsrisiken. Addy Osmani zeigt, wie KI-Coding-Assistenten wie GitHub Copilot und OpenAI Codex die Art und Weise, wie wir Software entwickeln, neu prägen: von der Automatisierung alltäglicher Programmieraufgaben bis hin zu Architektur und Designentscheidungen.

Dieser Leitfaden bietet Entwicklerinnen, technischen Leitern und Unternehmen praktische Strategien, um KI effektiv in ihre Arbeitsabläufe zu integrieren. Sie erfahren, wie Sie klare Ziele und Vorgaben für die KI formulieren, KI-generierten Code kritisch prüfen und einzelne Komponenten zu einem kohärenten Ganzen zusammenfügen. Ob Sie KI-Tools bereits einsetzen oder sich auf die Zukunft der Softwareentwicklung vorbereiten - dieses Buch bietet Ihnen fundierte Einsichten und praktische Beispiele, um auf den neuesten Stand zu kommen.

- Verstehen Sie, wie KI-gestütztes Entwickeln die Programmierung verändert.

- Eignen Sie sich Techniken an, um KI-generierten Code zu verbessern, zu validieren und zu debuggen.

- Erkunden Sie das Potenzial agentischer Coding-Umgebungen und KI-gesteuerter Software-Workflows.

- Sichern Sie Ihre berufliche Zukunft, indem Sie die Möglichkeiten der KI ausloten.

Produktiv programmieren mit KI

Vibe Coding professionell

Get the eBook free when you register your print book at Manning. You just built something amazing in Python and you’re ready to share it with the world! But does shipping it to the web mean…learning JavaScript? With the Streamlit framework, you can build interactive web apps entirely in Python incredibly fast. By providing a collection of pre-built UI components and streamlined configurations, Streamlit turns your ideas for data tools and AI workflows into usable applications without any tedious HTML, CSS, and JavaScript. Build Python Web Apps with Streamlit follows a proven learn-by-building approach. Each chapter introduces a new hands-on project. You’ll create data dashboards, interactive checklists, and even an AI chatbot optimized with RAG and agentic patterns. You’ll also learn from intentional mistakes and real-world debugging challenges that teach you how Streamlit actually works. As you go, each project helps you master software engineering skills you might not have learned as a Python programmer—gathering requirements, persistence and database integration, user authentication, deployment, and troubleshooting. • Build interactive web apps without HTML/CSS/JavaScript • Understand Streamlit’s execution model • Work with databases and persistent data • Create and deploy production-grade architectures • Implement user authentication and authorization • Build AI-powered applications with LLMs • Develop dashboards, and visualizations • Implement security best practices About the technology With the Streamlit framework, you can build interactive web apps entirely in Python incredibly fast. By providing a collection of pre-built UI components and streamlined configurations, Streamlit turns your ideas for data tools and AI workflows into usable applications without any tedious HTML, CSS, and JavaScript. About the book Build Python Web Apps with Streamlit follows a proven learn-by-building approach. Each chapter introduces a new hands-on project. You’ll create data dashboards, interactive checklists, and even an AI chatbot optimized with RAG and agentic patterns. As you go, you’ll practice debugging, deployment, database integration and other software engineering skills. What's inside • Understand Streamlit’s execution model • Work with databases and persistent data • Implement user authentication and authorization • Build AI-powered applications About the reader For Python programmers. No web app or AI skills required. About the author Aneev Kochakadan is a software engineer at OpenAI, with prior experience at Stripe and Google. He has designed and built systems ranging from online transactional services to data pipelines and business intelligence tools. Table of Contents Part 1 1 Introduction to Streamlit 2 Getting started with Streamlit 3 Taking an app from concept to code 4 Streamlit’s execution model 5 Sharing your apps with the world Part 2 6 A dashboard fit for a CEO 7 The CEO strikes back: Supercharging the dashboard 8 Building a CRUD app with Streamlit Part 3 9 Creating an AI-powered application 10 RAG and agentic apps with LangGraph and Streamlit Part 4 11 Testing Streamlit apps 12 Packaging and deploying Streamlit apps Appendixes A Installing Python and Streamlit

Build Python Web Apps with Streamlit

This book explores the wide range of no-cost (and in some cases, low-cost) software and cloud-based tools available to budget-minded small business owners, solo entrepreneurs, and even students. While major players dominate the marketplace, many of their premium-priced products have strong, practical alternatives that are either free or significantly less expensive. For those trying to stretch limited resources, these tools can make the difference between getting by and moving forward.The book starts with an office productivity tool known as OfficeLibre and goes on to explain notetaking and compression software. You will then learn about desktop publishing, illustration, 3D modeling, and photo editing software. As we progress further, you will learn more about audio-video capture and editing software along with KDenlive, a powerful free video editor. You will also learn about available project planning and time tracking software, and much more. By the end of the book, you will have also gained knowledge about security programs, as well as how to use Linux on Windows and MacOS. 
 The third edition of Pro Freeware and Open Source Solutions for Business has been thoroughly revised and updated to reflect today’s software landscape. You will find curated overviews of the most useful freeware and open-source titles for office productivity, note-taking, accounting, PDF management, project planning, and more. Each entry highlights what the tool does, the platforms it supports, and what commercial software it can replace — making it easy for you to evaluate options and make informed decisions.
 
 This edition includes up-to-date coverage of free (or low-cost) artificial intelligence tools that are reshaping the way businesses operate. From content generation and customer communication to research and marketing, AI-driven platforms such as ChatGPT, Microsoft Copilot, and others are now within reach of the smallest organizations. The book explains how these tools can be used to streamline everyday tasks, enhance productivity, and reduce reliance on expensive commercial software.
 
 With the challenging economic times we find ourselves in, this book may be more important than ever to help small business owners eliminate and reduce costs, and keep more money in their business. .
 &nbsp; 
 You Will Learn to:
 <ul><li>Identify and evaluate freeware and open-source software that can replace costly commercial titles</li><li>Understand the fundamentals of generative AI and how to craft effective prompts</li><li>Combine free/open-source tools with AI solutions to lower costs while increasing efficiency</li><li>Gain familiarity with essential tools for office productivity, accounting, PDF management, project planning, and more</li></ul> 
 New in This Edition
 
 Expanded to cover today’s most impactful AI tools and AI-powered options to help businesses stay competitive in a rapidly changing marketplace
 
 Contains detailed explanations and use cases for a variety of new tools like Notion, Akaunting, PDFSam, Floreant POS, uniCenta POS, EngageBay, Method Draw, Pinta, Photopea, G'MIC, HandBrake, Avidemux, Freedcamp, and many more
 
 Entries from the previous edition are revised and updated to reflect the latest version of the software and any relevant changes are included in the workflows

Money-Saving Options for Small Enterprises

Pro Freeware and Open Source Solutions for Business

Engineering Applications of AI for Demand Forecasting explores how Artificial Intelligence enhances prediction accuracy across modern engineering systems. As industries move toward Industry 4.0, the book highlights the role of AI in processing large, dynamic datasets for smarter decision-making. This book brings together contemporary research that demonstrates AI's ability to enhance precision, efficiency, and adaptability in diverse forecasting environments. By covering cybersecurity analytics, anomaly detection, logistics forecasting, sustainable supply chain management, and predictive maintenance, it demonstrates AI's versatility in complex environments. The book also showcases AI applications in renewable energy forecasting, peak load prediction, smart meter analytics, and prosumer-driven demand modeling. Combining theory with practical case studies, it serves as a valuable resource for engineers, researchers, practitioners, and students.

Engineering Applications of AI for Demand Forecasting

To build the future, we need new ways of supporting software teams. This book will give you a secret weapon: the psychology that creates resilience for developers, sustainable practices for software teams, and innovation for organizations. You'll learn from rigorous empirical evidence gathered from top engineering organizations and thousands of developers around the world, revealing powerful principles software teams can use to guard against failure and drive cultures of collaboration and problem-solving.Making incredible software doesn't have to be a death march-this book presents a humane alternative for software teams looking to use the transformative power of behavioral science to understand what drives technology businesses forward. The Psychology of Software Teams provides a model for developers and leaders who want to bring the human back to tech and take a science-based approach to unlocking the "black box" of software engineering.This book is for the developers and builders of the future. Bringing science and heart together, The Psychology of Software Teams will teach you how to untangle your thinking from pervasive myths about software work and harness the superpowers of psychology to create more joyful, innovative, and thriving environments for software.

The Psychology of Software Teams

Handbuch moderner Softwarearchitektur

Autres titres sur ce thème