Agentic AI and the Future of Predictive Maintenance - with James Loach

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.What Agentic AI
Really Means: Discover how Agentic AI differs from traditional and
generative AI, and why it's best understood as a digital colleague
that can take action, not just provide answers.The Role of Agentic
AI in Predictive Maintenance: Learn how technologies like Agentic
AI can enhance Senseye’s capabilities—making predictive maintenance
systems smarter, more autonomous, and more helpful for maintenance
teams.Real-World Maintenance Use Cases: Hear practical examples of
how AI agents can support maintenance tasks—from spotting problems
and synthesizing information, to optimizing strategies and even
configuring systems.The Future of AI Agents Working Together: Get a
glimpse into what’s ahead as AI agents from different systems begin
to interact, share data, and collaborate across industrial
environments.Trust, Teamwork, and the Human Factor: Understand how
AI in maintenance isn't about replacing jobs, but augmenting human
expertise—helping teams work more efficiently while still relying
on their critical on-the-ground knowledge.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