Client Provisioning via Predictive Configuration
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Solution Overview
Problem
Manual configuration of devices in enterprise environments is time-consuming, especially with large numbers of devices, requiring a more efficient provisioning method to minimize user input and optimize device functionality.
Innovation Solution
A central server predicts device functionality based on transmitted signals and prepopulates configuration fields on an administrator client, allowing for quick confirmation or modification to ensure accurate provisioning of device configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual configuration fields are filled in by an administrator, then device provisioning accuracy is ensured, but provisioning time increases significantly
Solution Approach 1:
The system performs preliminary actions by automatically predicting device functionality and pre-populating configuration fields before the administrator needs to review them. This reduces the time required for manual configuration while maintaining accuracy through administrator verification.
Solution Approach 2:
The system enables self-service by using automated prediction algorithms to fill in configuration fields without requiring manual input from the administrator. The administrator only needs to review and confirm the pre-populated fields, significantly reducing their workload and provisioning time.
2Productivity
If automated prediction is used to prepopulate configuration fields, then provisioning speed increases, but configuration accuracy may decrease
Solution Approach 1:
The system implements feedback by allowing the administrator to review the automatically predicted configuration fields and make corrections if needed. This feedback loop ensures that the final configuration is accurate while still benefiting from the speed of automated prediction.
Solution Approach 2:
The system performs preliminary configuration prediction and population before administrator review, enabling fast initial provisioning while maintaining accuracy through subsequent verification and correction steps.
3Ease of operation
If minimal user input is required for provisioning, then ease of operation improves, but provisioning reliability may be compromised
Solution Approach 1:
The system achieves self-service by automatically predicting and filling configuration fields with minimal administrator input, greatly improving ease of operation. The administrator only needs to review and confirm, making the process simple and fast.
Solution Approach 2:
The system maintains reliability by incorporating administrator review and confirmation as a feedback step. This ensures that even with minimal input required, the final provisioning is verified and reliable.
Data Source
AI summary
A client management server predicts a desired configuration of clients deployed in an enterprise based on various signals. This prediction is a best guess for a desired functionality of the client from a predefined set of possible functionalities (e.g., wayfinding, room management, dashboard, sign-in kiosk, digital sign, and point of sale terminal). Based on this prediction, the client management server facilitates provisioning of the clients with a configuration that supports the predicted functionality. The client management server may populate configuration fields located on an administrator client. An administrator can review the populated configuration fields and confirm that the predicted configuration is correct by sending a confirmation signal back to the central server. Upon receiving confirmation from the administrator client, the central server can provision the client with the predicted configuration. Otherwise, the administrator can modify the configuration fields in order to reflect the intended functionality of the client.