Implementing skilled workers’ expertise in AI to reduce labor requirements, address succession issues and improve quality
First written in FY2023. 2 of 4 entries say "Restated". Latest entry: 2026-07-08.
3 other companies' latest entry also says "First stated".
- 2026-07-08First statedOther Disclosures
「Kajima (President: Kiryu Masafumi) and Ridge-i Co., Ltd. (Representative Director and President: Yanagihara Naofumi; hereinafter, “Ridge-i”) developed an AI-assisted system to detect anomalies in concrete placement inside steel tube columns in CFT structures. Kajima implemented the system in moni-as®, a system enabling remote management of the work.」
For concrete placement in CFT structures, the development and implementation of a system using more than 2,000 hours of video and Kajima's proprietary construction expertise to diagnose foreign objects, concrete properties, and diaphragm-passage timing in real time was disclosed for the first time. - FY2025RestatedAnnual report
「Many of our initiatives, primarily for the manufacturing industry, focus on implementing in AI the technologies and expertise possessed by skilled and experienced workers, thereby reducing reliance on labor, resolving succession issues and improving quality across the industry.」
The theme of implementing skilled-worker expertise in AI to reduce reliance on labor, address succession issues and improve quality is continuing. - FY2024RestatedAnnual report
「Many of our initiatives, primarily for the manufacturing industry, focus on implementing in AI the technologies and expertise possessed by skilled and experienced workers, thereby reducing reliance on labor, resolving succession issues and improving quality across the industry.」
The development theme of implementing skilled-worker expertise in AI to reduce reliance on labor, address succession issues and improve quality is continuing. - FY2023First statedAnnual report
「Many of our initiatives, primarily for the manufacturing industry, focus on implementing in AI the technologies and expertise possessed by skilled and experienced workers, thereby reducing reliance on labor, resolving succession issues and improving quality across the industry.」
The implementation of skilled-worker expertise in AI and labor-saving measures have been identified as key themes in AI development for the manufacturing industry.