Low-Code-No-Code AI Market

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Question ^*

What level of technical skills does your team possess, and what is the biggest skill hurdle?

1. No coding experience

2. Basic coding skills (e.g., scripting)

3. Intermediate coding skills

4. Advanced coding skills (e.g., data science, machine learning)

5. Biggest Skill Hurdle: Data Manipulation

6. Machine Learning

7. Statistics

8. Deployment

9. API integrations

10. All covered

11. None

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Question ^*

What are the most important features you would look for in a Low-Code/No-Code AI platform?

1. Ease of use (intuitive interface)

2. Pre-built AI models and components

3. Customizability and flexibility

4. Integration with existing systems

5. Scalability and performance

6. Security and compliance

7. Data privacy

8. Transparent Explainability

9. Affordable pricing

10. Good documentation and support

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Question ^*

How would you measure the success of a Low-Code/No-Code AI implementation?

1. Reduced development time

2. Lower development costs

3. Improved data insights

4. Increased process efficiency

5. Enhanced customer satisfaction

6. Better decision-making

7. Other (Please specify)

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Question ^*

What are your biggest challenges in implementing AI within your organization?

1. Lack of in-house AI expertise

2. High cost of AI development and deployment

3. Difficulty integrating AI with existing systems

4. Long AI project timelines

5. Data accessibility and preparation issues

6. Other (Please specify)

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Question ^*

Which of the following AI tasks would you most likely use a Low-Code/No-Code platform for?

1. Data analysis and reporting

2. Process automation (RPA, workflows)

3. Predictive analytics (forecasting, risk assessment)

4. Customer service automation (chatbots)

5. Image/video analysis

6. Text analysis (sentiment, topic extraction)

7. Other (Please specify)

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