<div class="raw-html-embed"> <a href="https://staempflirecht.ch/schweizerische-zivilprozessordnung-art-1352-zpo-sowie-art-400408-zpo/ean-9783727222108">
 Jetzt bestellen
</a>
: Schweizerische Zivilprozessordnung (Art. 1–352 ZPO sowie Art. 400–408 ZPO)</div>

Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

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

Publikationen

Publications

Literatur

Onlinemodule LEXIA

Modules en ligne LEXIA

Bücher

Livres

Buchreihen

Collections

Datenbanken

recht.ch

Studienliteratur

Littérature pour les études

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

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Unsere Funktionen

Nos fonctions

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Konieczny B: Data Engineering Design
Patterns

Data Engineering Design Patterns

Recipes for Solving the Most Common Data Engineering Problems

Strengthen AI-enabled cyber resilience and deliver informed, data-led security decisions across your organization.

Artificial Intelligence in Cybersecurity gives senior cybersecurity professionals the proven tools to navigate escalating AI-driven threats and reinforce defensive capability. As attacks grow more complex, this book shows how to apply AI strategically to protect critical assets, strengthen oversight and improve ROI from your security investments.

Written by cybersecurity expert Lisa Ventura MBE, this executive guide explains how AI can elevate detection, prevention and response.

You'll learn how to:
- Deploy AI to enhance threat intelligence, anomaly detection and behavioural analysis
- Build AI-enabled intrusion and endpoint security strategies that deliver measurable results
- Integrate predictive analytics to anticipate attacks and optimize resource allocation
- Use strategic models, checklists and proven frameworks to increase organizational resilience

With actionable tools and insights into emerging AI trends, this book enables security leaders to stay ahead of sophisticated adversaries and deliver stronger cyber outcomes.

Themes include: AI security strategy, threat intelligence, predictive analytics, governance, cyber resilience

Use AI to Protect Your Organization

Artificial Intelligence in Cybersecurity

This engaging guide is designed to demystify artificial intelligence (AI) in the business world, no advanced maths degrees or robotic companions are necessary. It tackles everything from traditional AI to the exciting realm of Generative AI, clearly distinguishing between what is genuinely beneficial and what is merely hype, all while demonstrating how to leverage AI to address real-world business challenges.The first half of the book serves as an essential playbook for businesses eager to understand AI's potential. It cuts through the jargon, illuminating what AI can achieve and showcasing how organisations are already harnessing it to save time, enhance efficiency, and secure a competitive advantage.The second half introduces the concept of the "AI Native"-a future where AI is seamlessly integrated into business operations and daily life. This transformation opens thrilling opportunities, including new markets and creative work methods. It also prompts critical questions, like what happens when AI falters? The book carefully balances optimism with caution, offering insights that inspire thoughtful reflection.Whether you're leading a team, launching a startup, or gearing up for a technology-driven career, this book equips readers to make informed decisions about AI. It is an essential resource for executives, entrepreneurs, and graduate students alike, stripping away the buzzwords to deliver actionable insights.

Charting the Next AI Frontier

Becoming AI Native

This updated edition provides an essential how-to guide on the application of structural equation modeling (SEM) techniques with the AMOS software, focusing on the practical applications of both simple and advanced topics.Written in an easy-to-understand conversational style, the book covers everything from data collection and screening to confirmatory factor analysis, structural model analysis, mediation, moderation, and more advanced topics such as mixture modeling, censored date, and non-recursive models. Through step-by-step instructions, screen shots, and suggested guidelines for reporting, Collier cuts through abstract definitional perspectives to give insight on how to actually run analysis. Unlike other SEM books, the examples used will often start in SPSS and then transition to AMOS so that the reader can have full confidence in running the analysis from beginning to end. Best practices are also included on topics like how to determine if your SEM model is formative or reflective, making it not just an explanation of SEM topics, but a guide for researchers on how to develop a strong methodology while studying their respective phenomenon of interest. With a focus on practical applications of both basic and advanced topics, and with detailed work-through examples throughout, this book is ideal for experienced researchers and beginners across the behavioral and social sciences.

Basic to Advanced Techniques

Applied Structural Equation Modeling Using AMOS

Businesses that want to stay competitive know that AI has become a crucial technology--and so do their employees looking to grow their careers. Earning Microsoft's AI-900: Azure AI Fundamentals certification proves your proficiency with foundational AI concepts. This study guide equips you with the knowledge needed to pass the AI-900 exam, whether you're an IT professional, a data analyst, or a student looking to break into the AI field. Packed with clear explanations, real-world examples, exam tips, and practice questions, this comprehensive handbook is your go-to resource for mastering the Azure AI platform and advancing your career. You'll explore key exam topics, including machine learning, computer vision, and generative AI, while gaining practical insights into leveraging Azure's powerful AI tools.

In-Depth Exam Prep and Practice

Azure AI Fundamentals (AI-900) Study Guide

A big picture analysis of quantitative factor investing combined with practical tools and strategies, including the latest machine learning techniques In The Quantamental Revolution: Factor Investing in the Age of Machine Learning, veteran quantitative investor and strategist, Milind Sharma, delivers a comprehensive discussion of factor investing, risk premia, smart betas, multi-factor models and the deployment of ML ensembles towards monetizing alpha in the hedge fund world. Sharma draws on 30 years of industry and academic experience to bring us up to date on the cutting edge of quantitative factor investing. You'll learn about the basics of Fama-French and obtain a practical blueprint for taming the factor zoo. This book provides a comprehensive factor investing framework designed to improve your investment process informed by an insightful industry perspective and backed up by 1st hand eye witness stories as narrated by the author. The Quantamental Revolution also includes: <ul> <li>A mature and sweeping perspective, simultaneously incorporating industry (insider) insights and academic rigor, not provided by any other reference</li> <li>Novel research backed by live performance leveraging a huge factor library</li> <li>A practical reinvention of buy-side equities using a spanning set of factors and ML enhanced smart betas</li> </ul> Perfect for early-career quantitative investors and analysts, traders, and market data professionals, The Quantamental Revolution is also an essential read for portfolio managers interested in improving their investment processes. The engaging anecdotal vignettes coupled with academic rigor provide the reader with an authentic front row seat to the evolution of Quantamental investing on Wall Street over the past three decades.

Factor Investing in the Age of Machine Learning

The Quantamental Revolution

Concepts and Practice for the Digital Age

AI Marketing Essentials

Business analytics is all about leveraging data analysis and analytical modeling methods to achieve business objectives. This is the book for upper division and graduate business students with interest in data science, for data science students with interest in business, and for everyone with interest in both. A comprehensive collection of over 50 methods and cases is presented in an intuitive style, generously illustrated, and backed up by an approachable level of mathematical rigor appropriate to a range of proficiency levels. A robust set of online resources, including software tools, coding examples, datasets, primers, exercise banks, and more for both students and instructors, makes the book the ideal learning resource for aspiring data-savvy business practitioners.

Business analytics is all about leveraging data analysis and analytical modeling methods to achieve business objectives. This is the book for upper division and graduate business students with interest in data science, for data science students with interest in business, and for everyone with interest in both. A comprehensive collection of over 50 methods and cases is presented in an intuitive style, generously illustrated, and backed up by an approachable level of mathematical rigor appropriate to a range of proficiency levels. A robust set of online resources, including software tools, coding examples, datasets, primers, exercise banks, and more for both students and instructors, makes the book the ideal learning resource for aspiring data-savvy business practitioners.

Methods and Cases for Data-Driven Decisions

Business Analytics

Smart and Sustainable Operations and Supply Chain Management

The gig economy has changed the way firms behave in relation to their human resources, which has impacted every individual in society. This book analyzes Industry 5.0 and the human capital revolution with the rise of the gig economy. Operations and supply chain management are no exception to the influence. This book closes an existing gap in available literature with the novel ideas it brings.Smart and Sustainable Gig Economy in the Industry 5.0 Era: Engineering and Management Aspects analyzes smart and sustainable supply chain management concepts along with green systems, and smart applications all from a gig economy perspective. Smart applications of Industry 4.0 are merged with a triple-bottom-line approach, and their applicability to a gig economy is discussed along with other hot areas such as AI, and Machine Learning alongside the Industry 5.0 revolution. Case studies, real-world examples, models, and applications are included.This book presents state-of-the-art knowledge on smart and sustainable supply chain management in a gig economy suitable for researchers, professionals, and UG/PG individuals.

Engineering and Management Aspects

Smart and Sustainable Gig Economy in the Industrial 5.0 Era

In our hyper-connected world, where every interaction generates valuable data, artificial intelligence (AI) is having a profound impact on marketing, marketing research, and customer data analytics.This book sheds light on the untapped potential of AI-driven analytics in market research so that businesses can better understand and interact with their customers. The transformation of marketing and market research over recent decades has only accelerated thanks to breathtaking AI developments that are reshaping data analytics and insights generation while enabling more effective foresight and actionability.These technologies are moving the field beyond solicited customer opinion, traditionally gathered through surveys and focus groups, allowing marketers to leverage unstructured big data for a whole new type of customer feedback: the unsolicited opinion. Acting as a guide to what's possible, the book explores the redefinition of insight in the age of AI and stresses the need for every true insight to inspire action. It dives into techniques for analysis and the AI science behind the analytics, automated brand recommendations, and content creation, introducing AI-specific research and data analysis tools. The birth of synthetic data is discussed, with advantages including privacy compliance, cost-effectiveness, and the ability to generate diverse datasets on demand. The book also covers critical ethical issues, such as data privacy, algorithmic bias, transparency, and the potential for AI to be used manipulatively, and raises important questions around knowledge, creativity, and the future of the field of marketing research.This book's clear-eyed guidance and thoughtful reflections will benefit anyone involved in marketing, market research, digital advertising, and business strategy, including CX practitioners, business leaders tasked with delivering growth, data scientists, marketing agency executives and consultants, and advanced business and marketing students.

Marketing Research Reconfigured

AI Powered Insight

An Executive Guide to Balancing AI Innovation and Safety

The AI Precipice

An easy-to-follow guide to demystifying Agentic AI, the next step in the evolution of artificial intelligence Agentic AI is the next big leap in artificial intelligence. Agentic systems don't just respond to commands. They set goals, make decisions, and take initiative without direct human interaction. Sound like a lot to wrap your head around? Fortunately Agentic AI For Dummies is here to help you gain understanding of this advancing technology. Written by the author of ChatGPT For Dummies and Generative AI For Dummies, this easy-to-understand tech guide helps you take your first steps into Agentic AI. Get insight into the technologies driving Agentic AI, a road map for shifting from legacy systems to Agentic systems, and a tour of real-world use cases for Agentic AI. This books arms you with an understanding to make better decisions about how and when to use Agentic AI technologies. Inside the book: <ul> <li>Discussions of the technological foundations of agentic AI</li> <li>Explorations of the wide variety of applications of the AI agents, including in scientific research, innovation, business operations, healthcare, and more</li> <li>Insightful examinations of the ethical considerations and hurdles you'll need to navigate when it's time to deploy agentic AI in your company</li> </ul> Perfect for business owners, entrepreneurs, managers, executives, professionals and team leaders in the private sector, Agentic AI For Dummies is a hands-on toolkit and strategy guide for using autonomous AI solutions to solve hard problems in your organization.

Agentic AI For Dummies

Easy and effective strategies for using AI chatbots Turn your business into a 24/7 customer service powerhouse with AI chatbots that work around the clock! Perfect for anyone drowning in customer emails or missing sales opportunities while they sleep, AI Chatbots For Dummies explains how to build intelligent chatbots from scratch - no coding required. You'll discover how major companies use chatbots to boost efficiency and customer satisfaction and learn to create your own automated assistants for customer service, lead generation, and marketing campaigns that practically run themselves. Inside ... <ul><li>Build no-code solutions</li><li>Create 24/7 customer support</li><li>Accelerate lead generation</li><li>Convert leads into customers</li><li>Reduce overhead and workload</li><li>Improve customer satisfaction</li><li>Scale your company</li><li>Integrate the newest tools</li></ul>

AI ChatBots For Dummies

Data Engineering Design Patterns

Weitere Titel zum Thema