Jobcan Seminar
2025-08-06 02:43:27

Exploring the Future of Social Insurance Offices with AI: Jobcan Seminar in Tokyo

Jobcan Seminar: Transforming Social Insurance Offices with AI



On September 4, 2025, the collaboration between Jobcan and the Social Insurance AI Research Association will come to fruition with the hosting of the "Professional DX Seminar in Tokyo." This event aims to explore the future landscape of social insurance offices through a hybrid format that combines a physical gathering at DONUTS' headquarters in Shibuya, Tokyo, and online streaming for wider participation.

This third installment of the seminar series will feature prominent industry leaders such as Shogo Kitamura from Brain Social Insurance Labor Corporation and Hiroshi Goto from Chubu Management Labor Center. They will provide in-depth insights into the essential qualities of modern professional services in the age of generative AI, highlighting practical examples and case studies that reflect the evolving nature of these services.

Background of the Seminar


In recent years, the industry has experienced significant digital transformation, spurred by changes in work styles and a pressing need for increased efficiency. Traditional operational strategies are no longer sufficient; social insurance offices must now differentiate themselves through value creation. As we enter what is often referred to as the 'Fourth Industrial Revolution,' it is crucial not to see AI as a threat but rather as a powerful tool that can enhance service offerings and foster client growth.

Jobcan has consistently supported the digital transformation efforts of social insurance offices, and this seminar is designed to cultivate newfound insights for attendees, focusing on growth and value delivery to clients.

Seminar Schedule and Details


The event will commence at 15:30, starting with registration, followed by the first session titled "Transforming the Fourth Industrial Revolution into a weapon: Comprehensive Use of Generative AI." This session will introduce a startling forecast that posits up to 90% of social insurance tasks may be automatable by AI, prompting discussions on the essential **


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Topics Business Technology)

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