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