Jul 08 2024 13 mins 1
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?
Join our two hosts, Jonas Norinder and Don Mack, for an episode where we explore how artificial intelligence is reshaping maintenance protocols.
Show notes:
Website (Siemens): Predictive maintenance at scale (https://bit.ly/3zdPcsq)
Website (Siemens): Senseye resources hub (https://bit.ly/3XA1ipS)
Video (YouTube): Industrial Information Hub and Senseye Predictive Maintenance (https://bit.ly/3VUHk7T)
Case study (Siemens): BlueScope: Increased operational efficiency (https://bit.ly/3XCpurA)
Podcast (Siemens): Trend Detection (https://bit.ly/3VVZRke)
Website (Siemens): Senseye Predictive Maintenance ROI Calculator (https://bit.ly/4eCVUbD)
Webinar registration link:
Upcoming Webinar (Wednesday, July 11, 2024 at 11amET): Navigating the Digital Workforce: 4 Strategies for Success in the Age of Technology (https://bit.ly/3Va6H4m)
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