Preparing Students for the Future of PdM and Industrial AI - with Steve Jones episode artwork

EPISODE · Mar 24, 2025 · 30 MIN

Preparing Students for the Future of PdM and Industrial AI - with Steve Jones

from Trend Detection Podcast · host Siemens.FM team

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.This episode discusses:Real-World Collaboration in Action: In this episode, we learn how the Connected Curriculum initiative bridges the gap between academia and industry, giving students hands-on exposure to cutting-edge industrial technologies.Empowering Educators and Learners: The discussion shows the value of the “train the trainer” model, where academic staff are equipped with tools like Senseye to then deliver live, interactive learning experiences to students.Innovative Approaches to Data Use: A key takeaway is how the initiative overcomes challenges in accessing sensitive industrial data—starting with synthetic data and moving to real data in controlled environments.Building a Future Talent Pipeline: We discover how competitions and skills summits, such as the upcoming event on July 3, 2025, help connect students with industry partners, creating a strong pathway for future careers.The Power of Partnership: The episode highlights the positive impact of collaborative efforts, emphasizing that a successful blend of academic insight and industrial expertise leads to enriched learning experiences and better-prepared graduates.Quote: We started Connected Curriculum as a way of supporting academia to help it understand these challenges, and to help it basically produce learners who were better prepared to hit the ground running in industry”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

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.This episode discusses:Real-World Collaboration in Action: In this episode, we learn how the Connected Curriculum initiative bridges the gap between academia and industry, giving students hands-on exposure to cutting-edge industrial technologies.Empowering Educators and Learners: The discussion shows the value of the “train the trainer” model, where academic staff are equipped with tools like Senseye to then deliver live, interactive learning experiences to students.Innovative Approaches to Data Use: A key takeaway is how the initiative overcomes challenges in accessing sensitive industrial data—starting with synthetic data and moving to real data in controlled environments.Building a Future Talent Pipeline: We discover how competitions and skills summits, such as the upcoming event on July 3, 2025, help connect students with industry partners, creating a strong pathway for future careers.The Power of Partnership: The episode highlights the positive impact of collaborative efforts, emphasizing that a successful blend of academic insight and industrial expertise leads to enriched learning experiences and better-prepared graduates.Quote: We started Connected Curriculum as a way of supporting academia to help it understand these challenges, and to help it basically produce learners who were better prepared to hit the ground running in industry”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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Preparing Students for the Future of PdM and Industrial AI - with Steve Jones

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This episode was published on March 24, 2025.

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Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.This episode discusses:Real-World...

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