Edge AI for Real-time Decision Making

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Question ^*

What is your primary application area for real-time decision making using Edge AI?

1. A. Industrial Automation & Manufacturing

2. B. Smart Cities & Infrastructure

3. C. Healthcare & Medical Devices

4. D. Retail & Customer Experience

5. E. Other (Please specify: __________)

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Question ^*

What types of data are most critical for your real-time decision-making processes?

1. A. Sensor Data (e.g., temperature, pressure)

2. B. Video/Image Data

3. C. Audio Data

4. D. Location Data (GPS, etc.)

5. E. Network Data

6. F. Other (Please specify: __________)

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Question ^*

What specific AI/ML functionalities are most important for your real-time decision-making needs at the edge?

1. A. Anomaly detection

2. B. Predictive maintenance

3. C. Object detection and recognition

4. D. Pattern recognition

5. E. Real-time data analytics and insights

6. F. None

7. G. Other (Please specify: __________)

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Question ^*

What are the biggest challenges you currently face with real-time data processing and decision-making?

1. A. Latency (delay in processing data)

2. B. Bandwidth limitations

3. C. Data security and privacy

4. D. Computational power constraints on devices

5. E. Data Volume

6. F. Lack of skilled personnel

7. G. Integration of data from different source

8. H. Other (Please specify: __________)

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Question ^*

What is your preferred method of deployment for Edge AI solutions?

1. A. On-Premise (in-house)

2. B. Cloud-based

3. C. Hybrid (combination of on-premise and cloud)

4. D. Edge-as-a-Service (managed solution)

5. E. Open Source

6. F. Other (Please specify: __________)

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