Readiness for predictive maintenance in Japan - with Taku Shigihara

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:Trends and Adoption: Growing interest in predictive
maintenance in Japan, driven by efficiency needs and supported by
AI and IoT investments.Cultural and Regulatory Impact: Japan’s
strong quality focus and stringent regulations push adoption, but
traditional practices and cautious decision-making can slow
progress.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