Smart Maintenance: How AI Elevates Predictive Strategies - with Alex Hill- Part 1
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, pre ...
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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
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
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