Название: High Performance SRE: Automation, error budgeting, RPAs, SLOs, and SLAs with site reliability engineering
Автор: Аnсhаl Аrоrа Мishrа
Издательство: BPB Publications
Год: 2024
Страниц: 230
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

This book is a must-read, providing insights into SRE principles for beginners and experienced professionals. Study the fundamentals and evolution of SRE, gaining a solid foundation for success in today's tech-centric world. Starting with the fundamentals, it expands into the evolution of SRE from traditional IT roles, laying a solid foundation for understanding its pivotal role in today's tech-driven world. The core of the book focuses on practical strategies and advanced techniques. Readers will learn about automating tasks, effective incident management, setting realistic service level objectives, and managing error budgets. These topics are crucial for maintaining system reliability while fostering innovation. Additionally, the book emphasizes performance optimization and scalability, ensuring that systems run smoothly and adapt and grow effectively. High performance SRE emphasizes more than just technical skills. It encourages teamwork, a blame-free culture, and continuous learning, empowering SRE professionals for operational excellence and organizational success. Artificial Intelligence (AI) is bringing in a new era of increased capabilities and efficiency in the rapidly developing field of site reliability engineering (SRE).

Название: Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI
Автор: Sеbаstiаn Rаsсhkа
Издательство: No Starch Press
Год: 2024
Страниц: 325
Язык: английский
Формат: pdf, epub
Размер: 28.8 MB

If you’re ready to venture beyond introductory concepts and dig deeper into Machine Learning, Deep Learning, and AI, the question-and-answer format of Machine Learning Q and AI will make things fast and easy for you, without a lot of mucking about. Born out of questions often fielded by author Sebastian Raschka, the direct, no-nonsense approach of this book makes advanced topics more accessible and genuinely engaging. Each brief, self-contained chapter journeys through a fundamental question in AI, unraveling it with clear explanations, diagrams, and hands-on exercises. This book adopts a unique Q&A style, where each brief chapter is structured around a central question related to fundamental concepts in Machine Learning, Deep Learning, and AI. Every question is followed by an explanation, with several illustrations and figures, as well as exercises to test your understanding. Many chapters also include references for further reading. These bite-sized nuggets of information provide an enjoyable jumping-off point on your journey from Machine Learning beginner to expert.

Название: Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications
Автор: Раrikshit N. Маhаllе, Gitаnjаli R. Shindе, Рrасhi М. Jоshi
Издательство: Bentham Science Publishers
Серия: IoT and Big Data Analytics (Volume 4)
Год: 2023
Страниц: 196
Язык: английский
Формат: pdf (true), epub
Размер: 32.1 MB

This volume showcases upcoming trends and applications that are set to redefine our technological landscape. Chapters comprise referenced reviews focused on the recent research that introduces new methods and techniques for using AI in Industry 4.0, and the integration of Internet of Things (IoT) to drive new industrial processes. The contributors have discussed challenges in industry 4.0 along with the applications and the way it is shaping different industries. Key themes: AI in Communication Media: Uncover the latest research, with insights into the challenges and adoption of AI in remote processes. New AI Techniques for Industry 4.0: Learn about technologies such as blockchains and applications of machine learning, deep learning, and image processing. IoT and AI for Smart Systems: Understand IoT with a special focus on enhancing smart systems, in different industries, including agriculture and transaction processing Explorable AI: Gain a quick understanding of Explainable AI (XAI) and its role in improving the predictability and transparency of IoT applications. Whether you're a tech enthusiast, researcher, or industry professional, this book offers a glimpse into the innovative world of Industry 4.0 and its intersection with AI, IoT, Big Data, and cloud computing.

Название: Using Linux With ChatGPT: Leverage AI Technology to Navigate Complex Environments
Автор: Маtеvz Lеskоvsеk
Издательство: Independently published
Год: 2023
Язык: английский
Формат: pdf
Размер: 10.2 MB

Large language models like ChatGPT often exhibit inconsistencies as they are trained from a diverse range of content available online. These models are much more reliable when applied in technical domains, such as the Linux terminal. In this book, our goal is to guide you in easily mastering the Linux environment by using ChatGPT. This book provides a glimpse into the future of Linux, where AI integration into the kernel enables navigating Linux effortlessly with natural language. Unfolding as a dynamic conversation with ChatGPT, it explores fundamental tasks including system maintenance, package installations, task automation, folder synchronization, log analysis, and the establishment of audio-video environments. Tailored for both Linux novices and mid-level users, this book extends its appeal to anyone eager to leverage the power of AI in navigating complex technical, business, or legal scenarios. Beyond conventional tutorials, "Using Linux with ChatGPT" initiates a paradigm shift in the world of software, computer, and web administration. Elevate your skills and emerge as a proficient computer ninja, armed with insights that bridge the gap between traditional learning and the evolving landscape of modern technology. This book isn't merely a guide; it's a gateway to mastering anything with a revolutionary approach.

Название: The AI Revolution in Networking, Cybersecurity, and Emerging Technologies (Early Release)
Автор: Оmаr Sаntоs, Sаmеr Sаlаm, Наzim Dаhir
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2023
Страниц: 261
Язык: английский
Формат: epub
Размер: 10.1 MB

The AI Revolution is Here. Discover its Dynamic Applications in Networking, Cybersecurity, and More. AI is having a profound impact on nearly every sector of the workforce. Huge professional and financial opportunities await in the key domains of computer networking, cybersecurity, IoT, and cloud computing. The AI Revolution in Networking, Cybersecurity, and Emerging Technologies will give you the edge you need to harness AI for your benefit. Learn how AI can efficiently identify shadow data, fortify security measures, generate predictive analytics in real time, and so much more. In this comprehensive guide, Cisco professionals Omar Santos, Samer Salam, and Hazim Dahir engage you in both AI application and theory through practical case studies and predictions of future trends, which makes this book not just a valuable guide for today, but an indispensable resource for tomorrow. You’ll discover how AI is building robust bridges in collaboration tools and turning IoT into a super-intelligent network of devices so you can quickly identify and resolve network security threats while enhancing network performance. This book will show you how AI can help you modernize and fortify your operations and make yourself a key asset to your company.

Название: Artificial Intelligence in Business Management
Автор: Теik Тое Теоh, Yu Jin Gоh
Издательство: Springer
Серия: Machine Learning: Foundations, Methodologies, and Applications
Год: 2023
Страниц: 385
Язык: английский
Формат: pdf (true)
Размер: 10.8 MB

Artificial Intelligence (AI) is rapidly gaining significance in the business world. With more and more organizations adopt AI technologies, there is a growing demand for business leaders, managers, and practitioners who can harness AI’s potential to improve operations, increase efficiency, and drive innovation. This book aims to help management professionals exploit the predictive powers of AI and demonstrate to AI practitioners how to apply their expertise in fundamental business operations. As AI becomes an increasingly important tool in the business world, this book offers valuable insights into how it can be applied to various industries and business settings. Through this book, readers will gain a better understanding of how AI can be applied to improve business management practices and practical guidance on how to implement AI projects in a business context. This book also provides practical guides on how to implement AI projects in a business context using Python programming. By reading this book, readers will be better equipped to make informed decisions about how to leverage AI for business success. Part I of the book aims to help readers build up their knowledge of common Artificial Intelligence algorithms, through the explanations of various algorithms and simple Python examples provided. On the other hand, Part II highlights different problems faced by business management professionals across core business functions and illustrates how Artificial Intelligence could be utilized to alleviate them.

Название: Pythonic AI: A beginner's guide to building AI applications in Python
Автор: Аrindаm Ваnеrjее
Издательство: BPB Publications
Год: 2024
Страниц: 483
Язык: английский
Формат: epub (true)
Размер: 36.5 MB

“Pythonic AI” is a book that teaches you how to build AI models using Python. It also includes practical projects in different domains so you can see how AI is used in the real world. Besides teaching how to build AI models, the book also teaches how to understand and explore the opportunities that AI presents. It includes several hands-on projects that walk you through successful AI applications, explaining concepts like neural networks, computer vision, natural language processing (NLP), and generative models. Each project in the book also reiterates and reinforces the important aspects of Python scripting. You'll learn Python coding and how it can be used to build cutting-edge AI applications. The author explains each essential line of Python code in detail, taking into account the importance and difficulty of understanding. By the end of the book, you will learn how to develop a portfolio of AI projects that will help you land your dream job in AI. This book is for everyone who wants to learn how to build AI applications in Python, regardless of their experience level. Whether you're a student, a tech professional, a non-techie, or a technology enthusiast, this book will teach you the fundamentals of Python and AI, and show you how to apply them to real-world problems.

Название: AI: Limits and Prospects of Artificial Intelligence
Автор: Peter Klimczak, Christer Petersen (eds.)
Издательство: Transcript Publishing
Год: 2023
Страниц: 291
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

The emergence of Artificial Intelligence has triggered enthusiasm and promise of boundless opportunities as much as uncertainty about its limits. The contributions to this volume explore the limits of AI, describe the necessary conditions for its functionality, reveal its attendant technical and social problems, and present some existing and potential solutions. At the same time, the contributors highlight the societal and attending economic hopes and fears, utopias and dystopias that are associated with the current and future development of Artificial Intelligence. Intelligent machines and algorithms, mostly subsumed under the name of Artificial Intelligence (AI), are pervading ever more areas of modern life. In doing so, they are increasingly presenting results that exceed the capabilities of humans in the respective area of application. Examples are Alpha Go in the Asian game of Go, AI-based chess computers, ChatGPT or the Watson system in the television show Jeopardy. But what can really be concluded from such results with respect to the capabilities of Artificial Intelligence?

Название: Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things
Автор: Agbotiname Lucky Imoize, Valentina Emilia Balas, Vijender Kumar Solanki
Издательство: CRC Press
Серия: Artifcial Intelligence (AI): Elementary to Advanced Practices
Год: 2024
Страниц: 508
Язык: английский
Формат: pdf (true)
Размер: 15.2 MB

The fast-growing number of patients suffering from various ailments has overstretched the carrying capacity of traditional healthcare systems. Often, it becomes challenging to get reliable, accurate, effcient, and adequate medical results using conventional methods of healthcare delivery. In order to address this problem, the Internet of Medical Things (IoMT) was proposed. IoMT accelerates the remote monitoring of medical services and aids early detection of any medical problem in patients. Recently, Artifcial Intelligence (AI) application to medical data analysis has remarkably facilitated the treating and diagnosing of critical health issues. Integrating Artifcial Intelligence into the Internet of Medical Things has given birth to Artifcial Intelligence of Medical Things (AIoMT). AIoMT has ushered a dramatic change in the medical feld to orchestrate rapid diagnosis, treatment, and management of health issues suffered by a growing number of patients worldwide. Also, the book explores the application of cryptographic and noncryptographic solutions to addressing critical security and privacy concerns in AIoMT devices and systems.

Название: Data Fabric and Data Mesh Approaches with AI: A Guide to AI-based Data Cataloging, Governance, Integration, Orchestration, and Consumption
Автор: Eberhard Hechler, Maryela Weihrauch, Yan (Catherine) Wu
Издательство: Apress
Год: 2023
Страниц: 440
Язык: английский
Формат: pdf (true), epub
Размер: 41.6 MB

Understand modern data fabric and data mesh concepts using AI-based self-service data discovery and delivery capabilities, a range of intelligent data integration styles, and automated unified data governance—all designed to deliver "data as a product" within hybrid cloud landscapes. This book teaches you how to successfully deploy state-of-the-art data mesh solutions and gain a comprehensive overview on how a data fabric architecture uses Artificial Intelligence (AI) and Machine Learning (ML) for automated metadata management and self-service data discovery and consumption. You will learn how data fabric and data mesh relate to other concepts such as data DataOps, MLOps, AIDevOps, and more. Many examples are included to demonstrate how to modernize the consumption of data to enable a shopping-for-data (data as a product) experience.