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 the latest episode of the Trend Detection podcast, we're joined by Johnathan Bonner, Head of Solutions Engineering for Senseye, to explore why connectivity is often the most underestimated part of a predictive maintenance deployment.

In this episode We discuss:

• Why industrial connectivity is rarely as simple as “plug and play”

• How different machines, systems and communication protocols create complexity

• Why IT, OT and cybersecurity teams need to be involved from the outset

• How connectivity and integration can account for much of the implementation effort

• Why trying to reduce upfront costs can ultimately delay time to value

• How mapping your infrastructure and data sources can support predictive maintenance and future digitalization projects

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