Announcement of the publication of the book "AI Business Strategy - Effective Intellectual Property Strategy, How to Create a New Business, and the Path to Practical Application"

Condensed information essential for AI business development, from artificial intelligence intellectual property strategies to contract points, XAI, and AI quality assurance!

Takahiro Kusunoki, Principal of AI Research & Innovation Hub Macnica
I am in charge of writing the book's "Chapter 6: Examples of AI strategies by application / Section 3: Challenges and initiatives in using AI in manufacturing and other production sites."

Click here for details of the book

book point

★	The artificial intelligence business is becoming more and more prosperous. What should I do to win?
	Complete coverage of points to survive the times, from how to enter the AI business to intellectual property strategies, laws and regulations, and practices to avoid failure! A must-have book for those thinking about AI-related work!
★	Contract guidelines for AI/data usage, etc.
	A detailed explanation of the key points of the infrastructure that the country is developing and the latest trends in related laws and regulations!
★	What should I do to introduce AI into my business?
	Acquire knowledge for a smooth AI business, from how to build an internal system, necessary personnel requirements, creating a mechanism to avoid problems, to AI explanation methods and quality assurance.

Click here for the table of contents of "Chapter 6, Section 3: Issues and Initiatives for AI Utilization at Manufacturing and Manufacturing Sites"

Chapter 6	AI Strategy Examples by Application
Section 3	Issues and initiatives for AI utilization in manufacturing and manufacturing sites

1.	Smart factories are the source of competitiveness
2.	Steps to realization of smart factory
	twenty one	On-site Visualization ~ Objective Understanding of Current Situation ~
	twenty two	問題・課題の明確化　～AI活用、その前に～
	twenty three	Creation of New Added Value ~Overall Optimization Beyond Factories~
3.	Use of AI at manufacturing sites
	3.1	Anomaly detection
	3.2	予兆検知
	3.3	Visual inspection automation
	3.4	Defect cause analysis/yield improvement
	3.5	Quality improvement through optimization
4.	The key to successful practical operation of manufacturing x AI
	4.1	AI model accuracy monitoring
	4.2	Version management of training data and AI models
	4.3	A system that is easy to accept on site

Click here for details of the book

Author profile

Takahiro Kusunoki
Principal, AI Research & Innovation Hub Macnica

After gaining experience in ASIC hardware development, he joined Macnica in 2000. After working as an application engineer for high-end processors, embedded software, and tool products, he was put in charge of NVIDIA, proposing GPUs and deep learning to customers.
He then launched Macnica 's first data scientist team and became principal of the newly established AI Research & Innovation Hub in December 2019. He currently conducts research into cutting-edge AI technology while promoting the use of AI to companies with the mission of solving social issues.

Book launch webinar

A webinar to commemorate the publication of the book will be held from Friday, June 26th.

Click here for webinar details