The Digital Leap: An Engineer's Journey from Shopfloor to Senseye - with Tom Jacques

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:Tom's unique career journey: Discover how his path from
hands-on agricultural maintenance and shop floor experience led him
to become a solution engineer at Siemens, showcasing a fascinating
blend of mechanical and digital expertise.The transformative power
of diverse experience: Understand how having a broad perspective,
including practical insights into various industries and machine
failure modes, is crucial for developing effective,
customer-centric solutions.Insights into the evolution of
Predictive Maintenance (PM): Explore how AI and intelligent
software are moving PM beyond basic condition monitoring, making it
more accessible, accurate, and capable of anticipating failures
across all types of assets.How Siemens' Senseye tackles real-world
industrial challenges: Learn about its agnostic solution that
quickly baselines machines, digitalizes expert knowledge, and
provides tangible insights to optimize operations, reduce downtime,
and enhance safety.A glimpse into the future of industrial
maintenance and valuable career advice: Hear about exciting
upcoming trends like simpler wireless sensors and advanced AI
integration, along with practical tips on becoming an "expert
generalist" and fostering continuous learning in a rapidly evolving
field.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