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| Mistake | Solution |
|---|---|
| Over-reliance on AI algorithms | Don't forget the human touch! AI is a tool, not a replacement for human analysis. |
| Lack of quality training data | Ensure your AI models are trained on diverse and representative datasets for accurate results. |
| Ignoring model evaluation and validation | Regularly evaluate and validate your AI models to ensure they are performing as expected. |
By avoiding these common mistakes in AI for incident analysis, you can set yourself up for success in this dynamic and rapidly evolving field. Enroll in our Professional Certificate course today and take your skills to the next level!
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