AI Without the Hype: A Practical Guide for Mid-Size Manufacturers - with Nick Leeder
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 ac ...
40 Minuten
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vor 4 Monaten
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.Why it’s time to
move beyond the AI buzzwords—and how to focus on solving real
industrial problems with technology that delivers value.How
starting small with predictive maintenance or AI projects can build
trust, prove ROI, and create momentum for wider adoption.Why
simplicity and usability matter more than complex data science—and
how making insights accessible drives real operational impact.The
essential role of high-quality, contextualized data in the success
(or failure) of any AI-driven initiative.How to avoid common
pitfalls by linking AI projects to business KPIs, building scalable
plans, and being honest about what’s working and what’s
not.Real-world advice for industrial leaders on scaling AI and
predictive maintenance across global operations—without getting
lost in the innovation theatre.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
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.Why it’s time to
move beyond the AI buzzwords—and how to focus on solving real
industrial problems with technology that delivers value.How
starting small with predictive maintenance or AI projects can build
trust, prove ROI, and create momentum for wider adoption.Why
simplicity and usability matter more than complex data science—and
how making insights accessible drives real operational impact.The
essential role of high-quality, contextualized data in the success
(or failure) of any AI-driven initiative.How to avoid common
pitfalls by linking AI projects to business KPIs, building scalable
plans, and being honest about what’s working and what’s
not.Real-world advice for industrial leaders on scaling AI and
predictive maintenance across global operations—without getting
lost in the innovation theatre.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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