Streamlining Predictive Maintenance with Senseye and Mendix- with Johnathan Bonner
Welcome to the Trend Detection podcast, brought to you by Senseye
Predictive Maintenance – the platform which enables predictive
maintenance at scale across all of your assets, across all of your
plants.For this session, we discussed streamlining Pred ...
34 Minuten
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Welcome to the Trend Detection podcast, brought to you by Senseye
Predictive Maintenance – the platform which enables predictive
maintenance at scale across all of your assets, across all of your
plants.For this session, we discussed streamlining Predictive
Maintenance with Senseye PdM and Mendix with Johnathan Bonner. This
episode covers: Benefits of Predictive Maintenance: Leveraging
existing data to reduce downtime, increase maintenance efficiency,
and lower operating costs.Role of Low-Code Platforms: Enhancing
predictive maintenance with rapid, customizable application
development that integrates seamlessly with existing
systems.Centralized Maintenance Workflows: Streamlining maintenance
processes by combining predictive insights with user-friendly
dashboards and mobile accessibility.Scalability and Data
Management: Handling large data volumes efficiently and offering
flexible, scalable deployment options to support growing
operations.Comprehensive Customer Support: Providing ongoing
assistance with implementation, customization, and maintenance to
ensure successful integration and user adoption.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
Predictive Maintenance – the platform which enables predictive
maintenance at scale across all of your assets, across all of your
plants.For this session, we discussed streamlining Predictive
Maintenance with Senseye PdM and Mendix with Johnathan Bonner. This
episode covers: Benefits of Predictive Maintenance: Leveraging
existing data to reduce downtime, increase maintenance efficiency,
and lower operating costs.Role of Low-Code Platforms: Enhancing
predictive maintenance with rapid, customizable application
development that integrates seamlessly with existing
systems.Centralized Maintenance Workflows: Streamlining maintenance
processes by combining predictive insights with user-friendly
dashboards and mobile accessibility.Scalability and Data
Management: Handling large data volumes efficiently and offering
flexible, scalable deployment options to support growing
operations.Comprehensive Customer Support: Providing ongoing
assistance with implementation, customization, and maintenance to
ensure successful integration and user adoption.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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