An architect’s guide to designing, implementing, and integrating DevOps in the enterprise Key Features Design a DevOps architecture that is aligned with the overall enterprise architecture Design systems that are ready for AIOps and make the move toward NoOps Architect and implement DevSecOps pipelines, securing the DevOps enterprise Book DescriptionDigital transformation is the new paradigm in enterprises, but the big question remains: is the enterprise ready for transformation using native technology embedded in Agile/DevOps? With this book, you'll see how to design, implement, and integrate DevOps in the enterprise architecture while keeping the Ops team on board and remaining resilient. The focus of the book is not to introduce the hundreds of different tools that are available for implementing DevOps, but instead to show you how to create a successful DevOps architecture. This book provides an architectural overview of DevOps, AIOps, and DevSecOps – the three domains that drive and accelerate digital transformation. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this DevOps book will help you to successfully integrate DevOps into enterprise architecture. You'll learn what AIOps is and what value it can bring to an enterprise. Lastly, you will learn how to integrate security principles such as zero-trust and industry security frameworks into DevOps with DevSecOps. By the end of this DevOps book, you'll be able to develop robust DevOps architectures, know which toolsets you can use for your DevOps implementation, and have a deeper understanding of next-level DevOps by implementing Site Reliability Engineering (SRE). What you will learn Create DevOps architecture and integrate it with the enterprise architecture Discover how DevOps can add value to the quality of IT delivery Explore strategies to scale DevOps for an enterprise Architect SRE for an enterprise as next-level DevOps Understand AIOps and what value it can bring to an enterprise Create your AIOps architecture and integrate it into DevOps Create your DevSecOps architecture and integrate it with the existing DevOps setup Apply zero-trust principles and industry security frameworks to DevOps Who this book is for This book is for enterprise architects and consultants who want to design DevOps systems for the enterprise. It provides an architectural overview of DevOps, AIOps, and DevSecOps. If you're looking to learn about the implementation of various tools within the DevOps toolchain in detail, this book is not for you.

Using a combination of theoretical discussion and real-world case studies, this book analyses the use of robotics, artificial intelligence and services automation (RAISA) within the travel, tourism and hospitality industries. Divided into two sections, the book first concentrates on the theoretical aspects surrounding the use of RAISA in travel, tourism and hospitality. Themes explored include: economic fundamentals customer attitudes chatbot adoption service quality Following on from this, the second section concentrates on current and future use of RAISA technologies in specific subsectors of the tourism economy: hotels, restaurants, travel agencies, museums, and events. With an international scope of authorship and focus, the book is a useful reference source for scholars, students, and general readers interested in robotics, artificial intelligence, and automation technologies. Alongside this, the business insights and case studies examined in the book offer practitioners guidance on how these technologies can and will be incorporated into organizations, particularly those in the travel and tourism industry.

Provide research communities in information modelling and knowledge bases with scientific results and experiences achieved by using innovative methodologies in computer science and other disciplines related to linguistics, philosophy, and psychology.

This essential playbook shows how companies can scale success by coupling digital strategies with an investment in the health of their organizations and the people within. To scale and grow, a company must get the organizational elements right. That begins with having the right strategy, the right leadership to drive it, and the right talent, culture, and organizational design to realize a company's potential. This is especially true in the AI era, where a company's most valuable assets are its people. To begin with, leaders must rethink their value creation strategies. To hone their organizational edge, leaders must prioritize their organization's health in seven vital areas: strategic direction, culture, leadership, talent, organizational design, EID (equity, inclusion, and diversity), and well-being. No matter what type or size of business, those essential conditions must be leveraged for increased value and growth. Put simply: organizational matters matter. To hone their digital edge, leaders must understand AI, as advances in technology allow leaders to build organizations that can compete and win in the future. Finally, an investor mindset will enable leaders to invest wisely in the technology (and leverage that tech) that sets their organizations apart.

This book will provide research communities in Europe and Japan with an overview of scientific results and experiences achieved using innovative methods and approaches in computer science and other disciplines, which have a common interest in understanding and solving problems on information modelling and knowledge bases, as.

Featuring chapters by selected contributors to the second international Ontology for the Intelligence Community (OIC) conference, this book offers a partial technology roadmap for decision makers in the field of information integration, sharing and situational awareness in the use of ontologies and semantic technologies for intelligence. It focuses on intelligence community needs and the application of ontologies and semantic technologies to assist those needs, including: - sharing information within an among communities, across humans and machines - bringing machines up to the human conceptual level - automating some aspects of intelligence analysis - augmenting the capability to semantically integrate data from all intelligence disciplines - proviing analytical tools to exploit available semantically integrated information - assisting semantic disambiguation, reference and correlation of entities, relations and events This work will be of interest not only to US and other intelligence communites (IC), but also to law enforcement and homeland security communities, technical and budgetary decision makers and technologists working in intelligence, including ontologists and ontology developers, computer scientists, software engineers and intelligece analysts; indeed anyone with an interest in semantic technologies and their applications.

Azure Sentinel is an intelligent security service from Azure where Microsoft's main focus on developing sentinel is to integrate and bring together cloud security and artificial intelligence into effect. Here readers will gain enough understanding to make the most of Azure services to secure their environment from modern cybersecurity threats.