Hardware and software used to gather and analyze collected data may require more capabilities than traditional controllers used in automation applications. What hardware and software characteristics are particularly useful for industrial edge data gathering and analytics? When should cloud-based connections be considered for analytics, how can cloud data analytics help and what needs to happen to data before going to the cloud?
Learning objectives:
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Explore how hardware and software needs for industrial edge applications differ from more traditional hardware and software for automation applications.
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Understand how hardware and software for industrial edge applications are helping with data gathering and data preparation before analytics.
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See how data should be treated during collection and before analysis, either on premise or in the cloud.
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Learn about applications that illustrate industrial edge automation hardware and software needs.
Presenters:
- Paul Brooks, Steering Committee Member, Project Margo
- Tyler Wall, Associate Content Manager, CFE Media and Technology
