AI Is Ready. Are We? - with Richard Jeffers | The Adoption Gap - Part 1

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 opening
episode of The Adoption Gap, we're joined by independent asset
management consultant Richard Jeffers to explore a simple but
uncomfortable question:If predictive maintenance technology has
been around for decades, why are so many organisations still
struggling to make it work? Richard argues that the gap isn't in
the algorithms, it's in the culture, data maturity, and leadership
required to turn capability into results.What you'll learn in this
episode:Why predictive maintenance is a way of life, not a
technology deployment and what that distinction means in
practiceWhere the real gap sits between what AI can do today and
what most organisations are actually ready to do with itWhy being
"data-led" requires far more than having data and what data
maturity really looks like on the shop floorWhat separates the
manufacturers who scale predictive maintenance from those who never
get past the pilotHow leadership commitment and clear ownership
determine whether PdM becomes embedded or abandonedYou 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-maintenanceConnect with Richard
on LinkedIn:https://www.linkedin.com/in/richard-jeffers-2860a08/