-How to restore a factory after a disaster-
【If a major earthquake stops the factory, the damage could amount to hundreds of millions of yen!?】 Revealing successful examples of "DX × Earthquake Countermeasures" to protect the future of manufacturing! A major earthquake that is not "going to happen someday" but "can happen at any time." If a major earthquake were to occur now and halt the production line in a factory... You would face critical risks to business continuity (losses ranging from several million to several billion yen) not only from damage to buildings and equipment but also from delays in delivery and loss of business partners. This document presents real examples of "actual losses and reconstruction costs" that occur in factories during an earthquake, based on data from the Great East Japan Earthquake and the Kumamoto Earthquake. ▼ What you will learn in this seminar Actual damages during an earthquake: Real data on sales losses and reconstruction costs associated with factory shutdowns On-site action guide: A chronological action plan and checklist to move without hesitation from initial response to recovery Safety measures utilizing DX and AI: The mechanism and estimated costs of systems that detect shaking and automatically stop equipment and enable remote recovery Keys to successful business continuity: How to effectively use earthquake insurance to expedite recovery and examples from advanced companies ▼ Event Overview Date: September 11, 2026 (Friday) 13:30 - 14:30 Format: Online (Teams Webinar) Participation Fee: Free
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Trust Corporation is a professional group that creates the future of finance through technology and community. Based in Chuo-ku, Tokyo, we accompany financial institutions in their digital transformation through AI, data utilization, and IT consulting. We consistently lead support through advanced technologies, such as providing our own developed generative AI products and building data analysis organizations (Centers of Excellence), aiming for transformation in the financial industry.





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