Readiness for predictive maintenance in Japan – with Taku Shigihara [Video]

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we discussed the topic of Readiness for predictive maintenance in Japan – with Taku Shigihara.

This episode covers:

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Trends and Adoption: Growing interest in predictive maintenance in Japan, driven by efficiency needs and supported by AI and IoT investments.

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Cultural and Regulatory Impact: Japan’s strong quality focus and stringent regulations push adoption, but traditional practices and cautious decision-making can slow progress.

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Benefits and Innovations: Companies can expect cost savings and efficiency gains, with emerging sector-specific solutions and AI-driven analytics tailored for the Japanese market.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance (http://www.siemens.com/senseye-predictive-maintenance)