Cultural Adoption of AI PdM & the Power of Strategic Partnerships - a Panel Discussion - Part One

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.In part one of this
episode, you will learn about:How AI is transforming predictive
maintenance: Learn how AI-driven solutions like Senseye make
predictive maintenance scalable—from thousands of machines at
enterprise level down to individual components—without the need for
complex modeling or manual data input.Making PdM accessible for all
business sizes: Discover how small to mid-sized enterprises (like
those in New Zealand) can start with as few as 50 machines and
still achieve strong ROI within 3–6 months.From data to
decisions—without new sensors: Understand how existing automation
data (like current, torque, or timing from PLCs) can be used for
condition monitoring, often without needing to install new
instrumentation.Preserving institutional knowledge with AI: Hear
how the system ingests everything from manuals to repair photos and
videos, helping capture and share expert knowledge across sites to
support the next generation of maintainers.A practical,
people-first approach to AI: Explore how Senseye’s philosophy
prioritizes augmenting human roles, integrating with current
systems, and delivering real-world value—not replacing people, but
empowering them with better tools.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