Résultats pour "Das System" dans Informatique et technologie

Artificial intelligence is transforming how we learn—but using it effectively requires more than curiosity. The AI Learning System is a practical, no-hype guide that shows you how to turn AI into a powerful tool for structured, independent learning. Designed for students, professionals, and self-learners, this audiobook focuses on what truly matters: building better study systems, asking smarter questions, and using AI to deepen understanding—not replace it.

Winning Social Media in 2026 is your practical roadmap to growing an audience, creating engaging content, and building real income in the modern creator economy. Whether you're starting from zero or trying to revive a stagnant account, this guide breaks down the exact strategies creators need to succeed in today's AI-driven social platforms.

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. 

Bloomsbury presents The System written and read by James Ball. 'A fascinating exposé of the world behind your screen. Timely, often disturbing, and so important' Caroline Criado Perez, author of Invisible Women 'Takes us beyond Zuckerberg, Bezos et al to a murkier world where we discover how...

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.

A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking.

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.

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.

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.

The system design interview is one of the hardest challenges you'll face in the software engineering hiring process. This practical book gives you the insights, the skills, and the hands-on practice you need to ace the toughest system design interview questions and land the job and salary you want.

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.

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.

Big Tech is banking on you not reading this book. Literally. Intellectual property (IP) and patent law in the US and globally is overwhelmingly in favor of large corporations who have spent billions lobbying for preferential treatment. For decades, individual creators and inventors have...

When we avoid taking a decision, what happens to it? In The Unaccountability Machine, Dan Davies examines why markets, institutions and even governments systematically generate outcomes that everyone involved claims not to want. He casts new light on the writing of Stafford Beer, a legendary economist who argued in the 1950s that we should regard organisations as artificial intelligences, capable of taking decisions that are distinct from the intentions of their members.

This audiobook is narrated by an AI Voice. Turn One Developer Into a 16-Person AI Engineering Team 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...

There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.

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.

The NIST Cybersecurity Framework, intelligently designed to synchronize with top-tier industry practices, is a treasure trove for all cybersecurity enthusiasts, IT professionals, or organizational leaders determined to enhance their information systems security. This book, with its ability to translate complex concepts into accessible lessons, has the power to elevate beginners into adept cybersecurity practitioners.

What happens when machines can see, hear, learn, and make decisions in real time? How are artificial intelligence, robotics, autonomous systems, and edge computing transforming the world around us? From self-driving vehicles and intelligent robots to AI-powered assistants and smart cities, we are living through one of the most significant technological revolutions in human history. The systems being developed today are laying the foundation for a future where intelligent machines operate alongside humans, process information instantly, and solve increasingly complex challenges.

Agentic Artificial Intelligence Masterclass 2026 is a practical, beginner-friendly guide to understanding and using the next generation of AI systems. Inside, listeners will learn how AI agents work, how prompt engineering fits into agentic systems, how workflow automation can save time, and how artificial intelligence tools can be used to build smarter business, productivity, and digital systems. This audiobook explains AI agents in a clear, useful way without overwhelming technical language.