Artificial Intelligence Implementation Guide
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Artificial Intelligence Implementation Guide
AI is inevitable. Every organisation has to adopt it. The challenge is to do this adoption in spite of the risks and the pitfalls. The transformation methodology -- DIGI4MATION -- presented by the author in his earlier book has been adopted herein as a customised methodology for the implementation of AI in an organisation. This customed 16-step methodology has been named as AI4mation -- transformation to AI in the fourth industrial revolution. This book has been written as a detailed guide using which an organisation can successfully transform itself to AI using its internal resources without the help of expensive consultants. A comprehensive set of Appendices has been included to give templates of the most critical deliverables. This Guide is based on Lean Six Sigma, TOGAF, ISO 42001, ISO 37000 series, ISO 38500 series, and the ISO 27001 series in addition to other standards. Whether you are starting your AI journey or are deep in the throes of scaling it across your enterprise, this book will give you a framework to think strategically, act systematically, and improve continuously. The author has added three case studies – two of them based on actual experience, but with masked identity. The third case study – that of a hospital, is AI-generated. The author hopes that this Guide proves to be a valuable asset to organisations transforming themselves to adopt AI and saves them heavy costs of consultants. The author remains available for any further guidance or help at [email protected] or through LinkedIn. The companion Website for this book is ai4mation.org
AI in Practice: A Comprehensive Guide to Leveraging Artificial Intelligence
"AI in Practice: A Comprehensive Guide to Leveraging Artificial Intelligence in Business" is a groundbreaking book that provides a comprehensive and practical exploration of the applications, strategies, and considerations involved in leveraging artificial intelligence (AI) in various business domains. Written for professionals, decision-makers, and enthusiasts alike, this book serves as a roadmap to help organizations harness the power of AI to drive innovation, improve efficiencies, and gain a competitive edge in the modern digital landscape.
Trustworthy Artificial Intelligence Implementation
Author: Josef Baker-Brunnbauer
language: en
Publisher: Springer Nature
Release Date: 2022-11-22
Rapidly developing Artificial Intelligence (AI) systems hold tremendous potential to change various domains and exert considerable influence on societies and organizations alike. More than merely a technical discipline, AI requires interaction between various professions. Based on the results of fundamental literature and empirical research, this book addresses the management’s awareness of the ethical and moral aspects of AI. It seeks to fill a literature gap and offer the management guidance on tackling Trustworthy AI Implementation (TAII) while also considering ethical dependencies within the company. The TAII Framework introduced here pursues a holistic approach to identifying systemic ethical relationships within the company ecosystem and considers corporate values, business models, and common goods aspects like the Sustainable Development Goals and the Universal Declaration of Human Rights. Further, it provides guidance on the implementation of AI ethics in organisations without requiring a deeper background in philosophy and considers the social impacts outside of the software and data engineering setting. Depending on the respective legal context or area of application, the TAII Framework can be adapted and used with a range of regulations and ethical principles. This book can serve as a case study or self-review for c-level managers and students who are interested in this field. It also offers valuable guidelines and perspectives for policymakers looking to pursue an ethical approach to AI.