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.

This episode covers:

• Cut Through the Noise: Discover the true, underlying challenges customers face in maintaining their assets, moving beyond buzzwords to focus on what genuinely impacts production and downtime.

• Experience Rapid Intelligence: Learn how Senseye's software can "learn" an asset's normal operation in just 2-5 days, providing insights that might seem too good to be true, and how customer feedback directly shapes its evolution.

• Debunk Predictive Maintenance Myths: Understand that predictive maintenance isn't about eliminating all failures or replacing human expertise, but about optimizing maintenance timing and acting as a powerful decision-support tool.

• Witness Industry 4.0 in Action: Hear how digital transformation is delivering real, measurable success for companies across various sectors, making advanced asset monitoring more accessible and impactful than ever before.

• Strategize for Maximum Impact: Gain insight into how identifying critical pain points and understanding the ripple effects of asset failure are key to selecting the right machines for monitoring, ensuring significant return on investment.

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