LG Display Expands Enterprisewide AI Transformation With AX Squads
AI TIMES ·
✦ AI Summary
According to AI TIMES, LG Display is speeding up its shift to a technology-centric company by expanding its "AX squads," which bring togethe…
According to AI TIMES, LG Display is speeding up its shift to a technology-centric company by expanding its "AX squads," which bring together front-line employees and AI experts within the AX group, on September 14. With all organizations participating, the company has accumulated more than 450 tasks, and more than 190 of them have been automated, producing results in manufacturing, development, human resources, and other areas. At the heart of the project is a model in which employees directly turn repetitive work or on-site problems into AI tasks and implement solutions with expert coaching. Rather than simply using AI tools, the program is designed so that front-line employees handle everything from identifying tasks to executing them, with the aim of leaving AI usage capabilities embedded inside the organization. Applications created by employees are shared on the company's internal app market so that other workers can use them right away. The company has also been running training programs and building an internal coding agent, and in the second half of the year it is expanding AX applications to nonmanufacturing and nondevelopment divisions.
Perspective
The key point in this issue is the effort to move AI adoption out of the hands of a few specialists and into the way frontline employees actually work. If a structure takes hold in which tasks are defined on site and the results are then used across the organization, AI could become a tool that changes not only cost efficiency but also work standards and collaboration methods. In particular, the trajectory of first taking root in manufacturing and development before expanding into other divisions could become an example for the industry of what conditions are needed for a successful enterprisewide transformation.
This perspective is BizCrush's own commentary and is not part of the reporting by AI TIMES.
This article was produced with the help of an automated content generation algorithm.
Source: AI TIMES
View originalThis article was summarized and organized by BizCrush based on the original article from AI TIMES. For exact quotations and full details, please refer to the original article.