Sequence Number
2
Industry
Manufacturing
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How 5G enabled
Decisions will be increasingly made directly on the basis of the AI outcome, starting with low-risk decisions and evolving over time to high-risk decisions.
Data Flows
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Devices
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Description
Broad spectrum of sensors collects a wide variance of data (images/flow/temp/ speed,etc)
Storage and compute, in some cases, at the edge level for time-critical decision making
Can be for any type of data
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Cloud Compute & Storage
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Description
Non-critical data stored in Enterprise (cloud) storage
Critical data to be copied from Edge to Enterprise storage
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Applications & Services
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Description
MV and ML applied to assist in decision making from simple to — over time — advanced tasks
Autonomous means that AI makes the call
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Inform Decision Makers
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Description
Final decision made by AI process (becomes increasingly complex over time)
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Support Decision Making
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Description
End of process
Application Logic
Description
Data (event/timeseries/images/ etc.) collected from various sensors (e.g., temperature, pressure, etc.) – currently present or to be installed on machinery.
Assume a broad spectrum and large numbers of sensors.
Cameras collect high resolution video and image data to be accounted for in analysis.
Description
5G/edge compute will enable AI to process time-critical data to take proper actions in real-time which will be needed for various actions.
ML and MV processed data beyond prediction, building rule-based business logic for automated decision making.
Iterative process for developing these models, to achieve required accuracy (mandated step wise approach).
Description
Incremental approach – automated decision making will be applied for low-risk tasks and will increase in risk level until complete autonomous operation is achieved (will require time).
Real-time explainable and trusted decisions using complex business logic that is traceable to understand the logic flow of AI.
Expected benefits
Timely and data-driven decision making
AI-generated forecasts and scheduling, optimising costs (e.g., repairs)
Key value created
Accurate automated decision-making increases operational efficiencies