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Real-time analytics at the edge and in the cloud

Machine failures can cause an adverse impact on the operational efficiency of plants and factories, but identification of critical failures and examining physical parameters pose a challenge. To improve the fault detection process, it is crucial to monitor production systems and collect performance data in real-time. In this session, we discuss and demonstrate various options available to securely connect and collect equipment data to gain real-time insights at the edge and in the cloud using AWS analytics and ML. In addition, we demo a use case where data from multiple equipment are collected and critical parameters are monitored in real time at the edge. Furthermore, we showcase a centralized dashboard with consolidated data from multiple sites. Download slides »

Arun Balaji, Principal Prototyping Engineer, AWS India
Vikram Shitole, Prototyping Engineer, AWS India