This episode is owned by PA Digitalization Tech Talks Podcast Series. In this episode, we explore synergies between artificial intelligence and predictive maintenance in the process industries. Discover how AI revolutionizes maintenance protocols, predicts the unpredictable and safeguards against equipment failure. These algorithms monitor, analyze, and forecast, turning vast streams of data into actionable insights while working tirelessly behind the scenes to ensure that facilities run smoothly with minimal interruption.   Our guest, Alex Hill with Siemens who is focused on predictive maintenance for industrial applications will answer several questions, such as: What data is critical for AI systems to effectively predict equipment failures, and how is this data collected? How does a company get started with implementing AI for predictive maintenance?  What are some of the key challenges in integrating AI with existing maintenance infrastructure? Please subscribe via your selected podcast provider to be notified about future episodes.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