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