Webinar Announcement: New Options for Generative AI Utilization in the Sovereign AI Era (End-User Focused)

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The Importance of Data Sovereignty Revealed by the Limitations of Cloud AI The use of generative AI is expanding beyond text creation and summarization into practical business applications such as internal document search, FAQ handling, and knowledge sharing. However, many companies remain hesitant to fully adopt even convenient AI tools due to concerns about inputting confidential documents, customer information, and internal know-how into external cloud-based AI systems. Against this backdrop, the concept of 'sovereign AI'—managing AI and data under corporate control—is gaining attention, and there is growing demand for generative AI platforms that do not rely solely on cloud solutions.

Security and Usability as Barriers to Internal Deployment When deploying generative AI internally, issues such as data leakage risks, access control management, auditability of usage logs, and accuracy of referenced internal documents become apparent. Moreover, even when an AI platform is available, many initiatives stall at the PoC stage due to difficulties in operation, challenges in applying search results to daily workflows, or lack of sustained adoption by frontline departments. Therefore, effective generative AI utilization must go beyond providing a secure environment—it must include intuitive, easy-to-use systems that employees can seamlessly integrate into their daily tasks.

A Practical On-Premises Generative AI Platform Secured by Dedicated RAG This seminar will introduce GBase OnPrem as an on-premises generative AI platform that enables secure use of internal knowledge without sending sensitive information outside the company. Based on the limitations of cloud AI and the emerging era of sovereign AI, we will explain how GBase OnPrem’s dedicated RAG environment and user-friendly UI allow safe, in-house operational use of internal document search, FAQ responses, and knowledge sharing. Additionally, we will outline key implementation considerations based on each company’s expertise, including AI infrastructure powered by AMD EPYC processors and data center/facility designs that support GPU servers, ensuring stable operation of on-premises generative AI platforms.

Who Should Attend - Those currently using or considering cloud AI but concerned about handling confidential information and internal documents - Those who have introduced generative AI internally but face challenges in practical application and user adoption - Those exploring the use of internal knowledge with dedicated RAG and user-friendly UI in on-premises environments

Organizers and Co-organizers SB C&S Corporation Canon IT Solutions Corporation Japan AMD Corporation ■ Cooperation Majisemi Corporation

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