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Episode 42, part 1: Smart Maintenance: How AI Elevates Predictive Strategies

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Manage episode 425919814 series 2938385
Content provided by Siemens.FM team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Siemens.FM team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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:

Webinar registration link:

Contact us:

  continue reading

46 episodes

Artwork
iconShare
 
Manage episode 425919814 series 2938385
Content provided by Siemens.FM team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Siemens.FM team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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:

Webinar registration link:

Contact us:

  continue reading

46 episodes

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