Four analytics applications that majorly impact IIoT success
For controls engineers building factory machinery, key Industrial IoT technologies enhancing data analytics allows them to monitor vast connected assets, fostering a collaborative approach to operations.
Machine Design, a Control Design partner publication, highlighted four technologies that drive effective data analytics.
Cloud computing: This enables scalable data storage and remote access across distributed assets, streamlining cross-location collaboration.
Equipment sensors: These provide real-time monitoring, helping engineers detect and address issues proactively through predictive maintenance strategies.
Artificial intelligence (AI): This accelerates data processing, uncovering complex patterns and insights to optimize equipment performance and process efficiency.
Generative AI chatbots: These facilitate interactive problem-solving and help engineers quickly analyze data trends, supporting quality control and process refinement.
For more, check the full article from Machine Design here.
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