#Japan #Generative AI #Tokyo #LiberCraft #Daigo Miyoshi

Exploring the New Book on Generative AI and Knowledge Utilization

On July 22, 2026, LiberCraft Inc. will release a highly anticipated book by its CEO, Daigo Miyoshi, titled "The Easiest Guide to Generative AI & Knowledge Utilization." This essential guide aims to bridge the gap between theoretical understanding and practical application of generative AI within various industry sectors. Amidst a surge in generative AI adoption, many businesses struggle to transition from proof-of-concept (PoC) stages to successful implementation.

Miyoshi's new book addresses a recurring theme in the consultancy space: while companies are eager to implement generative AI, they face obstacles that prevent sustainable use. For instance, many organizations utilize systems like ChatGPT and Claude partially, failing to integrate these tools with their internal knowledge effectively. The book compiles Miyoshi’s extensive experience working across industries such as manufacturing, IT, and retail to provide guidance on how to successfully operationalize generative AI within organizational frameworks.

Book Background and Purpose

This book serves as a practical manual that systematizes approaches to embedding generative AI within organizations. Readers are walked through critical steps including decision-making for implementation, integrating internal data, and scaling across departments, all while ensuring the content is accessible to beginners.

Key Features of the Book

1. Transforming Internal Documents into Usable Knowledge: The guide provides methodologies on converting scattered company documents into AI-friendly knowledge, outlined over seven structured chapters.

2. Concrete Implementation Case Studies: Readers will find detailed examples across three different use cases: automating recovery in manufacturing, enhancing recommendations through unstructured data, and optimizing costs in vast volumes of voice of customer (VoC) analysis.

3. Accessible Explanations of Technical Concepts: Specialized topics like Retrieval-Augmented Generation (RAG) are broken down into comprehensible descriptions using relatable use cases. This makes the book suitable even for non-engineering roles involved in IT, information systems, or digital transformation (DX) initiatives.

Target Audience

This book is tailored for individuals or teams that:

• - Have begun using generative AI but haven't achieved full operational integration.
• - Struggle with the fragmentation of internal knowledge, making it difficult to leverage AI effectively.
• - Are acquainted with ChatGPT or Claude but lack clarity on deploying them at an organizational level.
• - Seek to understand RAG and AI agents, yet find it hard to visualize their practical applications in their companies.
• - Are responsible for advancing AI initiatives within their organizations as part of their IT or information systems roles.

Book Structure

The book unfolds in seven chapters:
1. Why Generative AI and Knowledge Utilization Are Necessary Now
2. Overview of Generative AI Implementation Technologies
3. Organizing Internal Knowledge
4. Use Case 1: Manufacturing Cause Estimation and Auto Recovery
5. Use Case 2: Recommendation Enhancement through Unstructured Data
6. Use Case 3: Cost Optimization in Vast VoC Analysis
7. How to Advance Knowledge Utilization Projects with Generative AI

Chapters 4 through 6 focus on specific industries—manufacturing, retail/recommendation, and customer support (VoC analysis)—by illustrating practical implementation patterns of generative AI.

Upcoming Webinar

In conjunction with the book's launch, a free webinar titled "Understanding Generative AI and Knowledge Utilization: A Comprehensive Overview in 60 Minutes" will be held online on June 29, 2026. Miyoshi will present key elements of the book’s first chapter, providing a sneak peek into its contents.

• - Date: June 29, 2026
• - Times: 12:00 PM - 1:00 PM and 7:00 PM - 8:00 PM
• - Format: Online (Google Meet)
• - Cost: Free
• - Speaker: Daigo Miyoshi, CEO of LiberCraft
• - Registration Link: Webinar Registration

This webinar is particularly welcoming to those who wish to assess the book's content before making a purchase.

Author Profile

Daigo Miyoshi, the CEO of LiberCraft, has a rich background in financial engineering from Keio University. He began his career as a data scientist consulting startups in AI and data utilization, followed by a role at Seven & I Holdings where he drove AI initiatives in retail and logistics. In 2022, he founded LiberCraft, focusing on consultancy and training for generative AI and data sciences across various sectors.

Miyoshi has authored several other works, including titles that cover practical AI and data science applications in business settings.

In his remarks about the book, Miyoshi reiterated the pressing challenges that organizations face: "As businesses engage in generative AI, they often encounter a barrier when trying to move from PoC to implementation. This barrier often lies not in the technology itself but in effectively utilizing knowledge within the organization to make AI applicable. I hope this book helps those looking to make real, practical use of generative AI in their day-to-day operations."

About LiberCraft Inc.

LiberCraft Inc. is headquartered in Shinjuku, Tokyo. The company specializes in AI and data science integration, product development, and training for digital transformation personnel. For more information, visit their official website: LiberCraft.