Understand in 3 minutes! A Guide to Important Points for Introducing Generative AI Companies

A must-see for those in charge considering the introduction of generative AI in the manufacturing industry! This checklist explains the essential points for implementing generative AI.

The utilization of generative AI is rapidly advancing even in the manufacturing industry. However, there are numerous challenges that should be approached with caution, such as "information leakage risks," "insufficient legal and ethical frameworks," and "the personalization of operational know-how." This document succinctly summarizes the key points for safely and effectively introducing generative AI into companies in a checklist format. 【Systematic Check Across 5 Categories】 - Policy and Strategy: Clarification of the purpose of introduction and alignment with business strategy - Legal and Risk Management: Measures against personal information, copyright, and ethical risks - Information Security: Protection of confidential information and selection of secure connection methods - Operations and Management System: Clarification of continuous operational rules and responsible parties - Education and Promotion of Utilization: Company-wide skill enhancement and the establishment of a sharing culture With a checklist of 30 items, it is possible to assess the current level of preparation for introduction on a four-point scale. The content is widely applicable, from those introducing it for the first time to those responsible for promoting company-wide deployment. Based on the IPA and JDLA public guidelines, key points anticipated in practice have been carefully selected. In just three minutes, you can grasp the important points for introducing generative AI.

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