『X Methodology』 covers the AI ​​transformation methodology that transforms a company into an AI-centered one through a systematic approach that proceeds from AX planning → AX execution → operational management.
In the 'AX Plan', the current status is diagnosed using a checklist, and based on the results, one of the following AX transformation directions is selected: preparation-based, department pilot, core transformation, company-wide expansion, and exploratory learning.
Depending on the selected AX direction, check and review items to prepare for transition, such as data, infrastructure, processes, and organization.
In 'AX Execution', we will understand the operating principles of AI by dividing it into four areas: data, model, agent, and system, and examine where and how to apply it to the workflow.
'Operational Management' introduces a new operational paradigm that leads to DataOps, MLOps, and AIOps, and presents management methods and practical guidelines for systematically operating and controlling AI systems by organizing each management area into inspection items, inspection cycles, inspection methods, measurement indicators, inspection tools, priorities, and responsible entities.
It's structured so that even non-technical people can understand it. I hope this book will be a valuable resource for anyone considering how to prepare for AX, how to implement it, and how to operate it going forward.