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Future industrial professionals will look back on the year 2023 as the year that artificial intelligence truly started to scale and reshape plant operations. The increasing integration of software into manufacturing processes plus massive cloud compute power has laid the foundation for plant teams to apply AI to drive better business decisions, from supply chain and resource planning and scheduling to improved physical asset management.
Michael DeMaria is a product manager for Azima DLI, which is part of Fluke Reliability, where he manages the hardware platforms and integrations, diagnostic software and AI tools, and user portal deliverables and business metrics. Michael’s background is in Navy nuclear engineering, but he has been working in the vibration-analysis arena for more than 30 years.
In the following interview, DeMaria explains why starting with a pre-trained AI is critical to successfully using AI for machine condition monitoring.
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Future industrial professionals will look back on the year 2023 as the year that artificial intelligence truly started to scale and reshape plant operations. The increasing integration of software into manufacturing processes plus massive cloud compute power has laid the foundation for plant teams to apply AI to drive better business decisions, from supply chain and resource planning and scheduling to improved physical asset management.
Michael DeMaria is a product manager for Azima DLI, which is part of Fluke Reliability, where he manages the hardware platforms and integrations, diagnostic software and AI tools, and user portal deliverables and business metrics. Michael’s background is in Navy nuclear engineering, but he has been working in the vibration-analysis arena for more than 30 years.
In the following interview, DeMaria explains why starting with a pre-trained AI is critical to successfully using AI for machine condition monitoring.
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