Delivering AI projects and building an AI organization are two big challenges for enterprises. They determine whether companies succeed or fail in establishing AI and integrating AI into their digital transformation. This book addresses both challenges by bringing together organizational and service design concepts, project management, and testing and quality assurance. It covers crucial, often-overlooked topics such as MLOps, IT risk, security and compliance, and AI ethics. In particular, the book shows how to shape AI projects and the capabilities of an AI line organization in an enterprise. It elaborates critical deliverables and milestones, helping you turn your vision into a corporate reality by efficiently managing and setting goals for data scientists, data engineers, and other IT specialists. For those new to AI or AI in an enterprise setting you will find this book a systematic introduction to the field. You will get the necessary know-how to collaborate with and lead AI specialists and guide them to success. Time-pressured readers will benefit from self-contained sections explaining key topics and providing illustrations for fostering discussions in their next team, project, or management meeting. Reading this book helps you to better sell the business benefits from your AI initiatives and build your skills around scoping and delivering AI projects. You will be better able to work through critical aspects such as quality assurance, security, and ethics when building AI solutions in your organization. What You Will Learn Clarify the benefits of your AI initiatives and sell them to senior managers Scope and manage AI projects in your organization Set up quality assurance and testing for AI models and their integration in complex software solutions Shape and manage an AI delivery organization, thereby mastering ML Ops Understand and formulate requirements for the underlying data management infrastructure Handle AI-related IT security, compliance, and risk topics and understand relevant AI ethics aspects Who This Book Is ForExperienced IT managers managing data scientists or who want to get involved in managing AI projects, data scientists and other tech professionals who want to progress toward taking on leadership roles in their organization's AI initiatives and who aim to structure AI projects and AI organizations, any line manager and project manager involved in AI projects or in collaborating with AI teams

The Bavarian State Library is one of Europe's largest and most important universal libraries, with unique stocks and collections. In this publication celebrating the library's 450th anniversary, the authors present a view behind the scenes of this "Treasury of Knovwledge". Besides historical topics and descriptions of the most important collections, the articles describe current issues and future challenges - for example the whole issue of mass digitalisation, the roles of net-based user services or library marketing. There is also a detailed account of the Library's role as the central archive and state library of the Free State of Bavaria. As one of the most important collections of source materials in the world, the Bavarian State Library is guardian of a centuries-old cultural heritage and at the same time positions itself as a modern, innovative service centre for the knowledge society. A selected bibliography completes this anniversary volume.

This new textbook of library administration provides an overview of all important aspects of the library business with emphasis on the demands made on the modern library: The central issue is library management, with other aspects covered including acquisition, cataloguing, lending and maintenance of the holdings, and public relations. It also contains chapters on training and further education, laws and regulations, electronic media and EDP. An index of topics and names completes the book. With contributions written by acknowledged specialists, this compendium is written primarily for students and professional librarians but is also a helpful reference work to many from other professional backgrounds.