Driving Success with Scalable IoT: Insights from El-Watch & Senseye Predictive Maintenance
Description
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the practical strategies for deploying predictive maintenance across diverse factory environments, including navigating outdated corporate guidelines and integrating with legacy systems.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
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