Ergebnis für "Das System" in Computer & Technologie

You open your CRM and find three versions of the same client. Your file system has a folder called "Final FINAL v3." Your spreadsheet has columns that no one on your team can explain — including the person who made them. And somewhere in the back of your mind, a voice is saying: I should probably be using AI by now. Here is what that voice isn't telling you: so should everyone else. And almost no one's business is ready for it. Not because the technology is too advanced.

As artificial intelligence and automated systems increasingly shape our courts, hospitals, workplaces, and financial institutions, a fundamental question emerges: Who remains accountable when machines decide? Ethics in Autonomous Systems offers a rigorous yet accessible exploration of moral responsibility in a world governed by algorithms. Rather than treating automation as neutral or inevitable, this book challenges listeners to examine the ethical architecture beneath every line of code and every data-driven decision.

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data...

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

Welcome to "Predictive Power: Navigating the Landscape of AI Systems and Decision-Making." In this book, we embark on a journey into the fascinating world of artificial intelligence (AI) systems and their profound impact on decision-making processes across various domains. From business and healthcare to finance and beyond, AI technologies are revolutionizing and transforming how we analyze data, predict outcomes, and make informed choices.

Bridges the gap between AI and neuroscience by telling the story of how the brain came to be. 'I found this book amazing' Daniel Kahneman, Winner of the Nobel Prize in Economics and bestselling author of Thinking Fast & Slow The entirety of the human brain’s 4-billion-year story can be...

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. 

Artificial intelligence is moving fast—from experimental prototypes to real systems powering software, automation, and decision-making. Yet most AI projects never reach production. Fragile data pipelines, unstable models, and poorly designed architectures often prevent promising ideas from becoming real-world solutions. At the same time, a new generation of intelligent systems is emerging.

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.

Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. As the models become increasingly capable, we have witnessed a new design pattern emerge: AI agents. By combining tools, knowledge, memory, and learning with advanced foundation models, we can now sequence multiple model inferences together to solve ambiguous and difficult problems. From coding agents to research agents to analyst agents and more, we've already seen agents accelerate teams and organizations.

Broken Money explores the history of money through the lens of technology. Politics can affect things temporarily and locally, but technology is what drives things forward globally and permanently. The book's goal is for the listener to walk away with a deep understanding of money and monetary history, both in terms of theoretical foundations and in terms of practical implications.

Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.

In February 2026, sixteen autonomous AI agents built a complete C compiler in just 14 days. They wrote 100,000 lines of production code, compiled the Linux kernel and PostgreSQL, and managed their own Git workflows without human intervention. This wasn't a research experiment. It was proof that AI agent swarms can deliver enterprise-grade software faster than traditional development teams.

Vertrauen in Künstliche Intelligenz ist nicht nur eine regulatorische Anforderung, sondern auch eine Frage der Unternehmensethik, des kulturellen Bewusstseins und verantwortungsvollen Designs. Dieses Buch verfolgt einen integrierten Ansatz und zeigt, wie vertrauenswürdige KI-Systeme über Algorithmen, Server und Datenbanken hinausgehen und auch Aussehen, Natur und Menschen berücksichtigen.

Written by an expert who has created systems ranging from DNA scanners to children's toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use. This expanded second edition includes new chapters on IoT and networked sensors, motors and movement, debugging, data handling strategies, and more.

AI doesn't need to be overwhelming, technical, or full of hype. You don't need to learn coding. You don't need to chase every new tool. And you definitely don't need another book filled with buzzwords and theory.

(ISC)2 Certified Information Systems Security Professional (CISSP) Official Study Guide, 9th Edition has been completely updated based on the latest 2021 CISSP Exam Outline. This bestselling Sybex study guide covers 100% of the exam objectives. You'll prepare for the exam smarter and faster with Sybex thanks to expert content, knowledge from our real-world experience, advice on mastering this adaptive exam, access to the Sybex online interactive learning environment, and much more. Reinforce what you've learned with key topic exam essentials and chapter review questions.

What if you could accomplish more in 2 focused hours than most people do in an entire workday? "The 2 Hour Productivity Hacks with GPT-5.4 Agentic AI" reveals how to transform advanced artificial intelligence into your personal team of autonomous assistants. This practical guide shows you exactly how to build AI agents that research, write, plan, and execute tasks while you focus on high-level strategy and creative work. This is not another generic AI book filled with theory.

Unlock the secrets of AI-powered income with AI Income Generator—the essential guide for anyone ready to turn artificial intelligence into real, sustainable revenue. Whether you’re a total beginner or a side hustle veteran, this audiobook walks you step-by-step through launching profitable online businesses using today’s most accessible AI tools—no coding required. Discover how to use ChatGPT, Canva, and automation platforms to create digital products, land freelance gigs, and build passive income streams that work while you sleep.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.