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