Inference at the edge
Bring model inference closer to devices while retaining security controls.
Explore this feature →AIsense / Live edge context
Under Development
Bring local inference and authorized live context together
AIsense Live is the proposed human window into connected intelligent devices.
What this means for your team
- Design authorized camera/audio viewing and supported intervention paths.
- Link the device, running skill, operator and policy context.
- Separate local inference from remote connectivity: live viewing needs a working connection.
- Apply privacy, retention and operator access controls appropriate to the deployment.
A practical example
A device processes local input; an authorized operator opens a connected view to investigate an event.
How it works
Select a step to read its explanation
- Establish a connected intelligent device and its relevant live context.
- Relate an inference event to the device identity and the skill that produced it.
- Authorize the operator and the requested viewing purpose before exposing live media.
- Provide the intended connected view of camera or audio context. Local inference does not itself guarantee remote connectivity.
- Govern supported intervention and evidence access under the deployment’s privacy and policy requirements. AIsense Live is under development.
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This example illustrates the journey. Select any step to explore it at your own pace.
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AI skill lifecycle
Govern how edge skills are introduced, updated and retired.
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