Driving Success with Scalable IoT: Insights from El-Watch & Senseye Predictive Maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye
Predictive Maintenance – which gives you visibility and insights
into all your assets, from single machines to full plants to help
you reduce downtime, increase knowledge sharing and accelerate
digital transformation across your organization.In this episode,
you will:Discover real-world examples of how a modest investment in
industrial IoT sensors can prevent hundreds of thousands of euros
in unforeseen repair costs and scale asset monitoring
exponentially.Learn the practical strategies for deploying
predictive maintenance across diverse factory environments,
including navigating outdated corporate guidelines and integrating
with legacy systems.Understand the seamless journey of data from
robust wireless sensors to intelligent, AI-driven insights that
predict equipment failures and suggest precise next steps.Find out
how advanced predictive maintenance technology is becoming
accessible to businesses of all sizes, driving value and efficiency
beyond just cost savings.Get an inside look at the unique synergy
between Siemens, EL-Watch's cutting-edge sensor technology, and
Senseye's AI platform, and how this collaboration is shaping the
future of industrial reliability.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