What scope best describes your responses?
What is our current stage with edge AI models?
If not yet in broad production, when do you expect a pilot or expansion?
Which edge AI use cases are most relevant over the next 12 months?
- Quality inspection (vision)
- Predictive maintenance
- Safety monitoring
- On-device personalization
- Text classification (NLP)
- Voice/audio processing
- Object detection/classification (vision)
- Edge demand forecasting
- Fraud detection at POS/kiosks
- Undecided / not defined
- Other
Which model types are currently in scope for edge deployment?
- Computer vision
- Time-series forecasting
- Anomaly detection
- Natural language processing (NLP)
- Speech/voice
- Recommendation
- Control/optimization
- Other
Which edge environments are most relevant for us?
- IoT sensors/devices
- Industrial equipment/robots
- On-prem servers/gateways
- Mobile devices/tablets
- Vehicles/fleets
- Retail POS/kiosks
- Medical/clinical devices
- Other
How formalized are our policies for the edge model lifecycle?
For each stage, indicate the level of control required for edge models.
Do we maintain a model registry/inventory that includes edge deployments?
If yes, what does the registry track for edge models?
In the last 6 months, how well defined and enforced were data governance controls for edge datasets?
Which signals have we monitored on edge deployments in the last 30 days?
- Data drift
- Concept drift
- Data quality checks
- Latency/throughput
- Accuracy/precision/recall
- Hardware resource usage
- Privacy/security events
- Safety constraint violations
- Human-in-the-loop feedback
How mature are our SLOs/SLAs for edge model performance today?
What tooling is used to observe and alert on edge models?
- Built-in device logs/metrics
- Centralized monitoring (e.g., Prometheus/Grafana)
- MLOps platform
- Custom scripts/agents
- Commercial APM/observability
- Data observability tool
- Not sure
- Other
Average time to detect a production edge incident in the last 90 days (minutes).
How many edge deployments were rolled back in the last 90 days?
Rank the following risk areas for edge AI from highest to lowest priority.
How often are formal risk assessments run before edge deployments?
Do any edge models process sensitive personal data today?
Attention check: To confirm you are reading the questions, please select "I am paying attention" only.
- I am paying attention
- I am not paying attention
What are the top two or three gaps blocking edge AI governance and monitoring today?
Max 600 chars
Allocate 100 points to the areas that most need investment for edge AI readiness.
Anything else we should consider for edge AI governance or monitoring?
Max 600 chars
What is your primary role?
Which function do you primarily sit in?
How many years of experience do you have in data/AI or analytics?
Which region best describes your primary location?
What is your current level of involvement with edge AI models?
Welcome! This short survey takes about 7–10 minutes. Please answer based on your team’s current practices. Your responses are confidential and will be aggregated.
Any final comments or clarifications?
Max 600 chars
AI Interview: 2 Follow-up Questions on edge AI readiness
Thank you for completing the survey! Your input will help prioritize our edge AI governance and monitoring improvements.