Keynote: Industrial IoT Keynote
Continuing the Industrial Revolution – Connecting IIOT solutions to HPC as a Service to strengthen operational excellence
Industry 4.0 methodology is being applied to multiple industries both inside and outside of manufacturing. In this new operations model, advanced IIoT, Artificial Intelligence (AI) and Machine Learning (ML) solutions enable continuous, real-time monitoring of manufacturing processes to predict and proactively address impending variations and drift from specified production parameters.
Adopting this new focus around updating concepts will require a shift to the use of ‘Edge-to-Core’ IIOT operations and solutions to gain access to real-time data and operational visibility throughout the manufacturing process. These ‘self-aware’ components can report on their own condition, indicate how much useful life they have left, and predict when they’re likely to fail.
When combined, the Edge IoT data is fed into the Core HPC enabled analytics platforms to provide product manufacturers from any industry an “Edge to Core’ data analytics capability to enable extreme tracking and correlation of thousands of real-time data points in the manufacturing process.
As real-time sensor data arrives in the datacenter, High Performance Compute (HPC) farms enable AI and ML data science analytics methods to be applied against the collected data to enable immediate decision making and action. The positive impact of “Edge-to-Core” IoT data chains achieve quality improvements impacting both the productivity of the system and the information provided to mission critical and time sensitive business challenges.