IIoT technologies driving data analytics

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.