WHY IS DATA ANNOTATION SO IMPORTANT?
- Customer satisfaction. A bad annotation scheme directly affects the quality of your predictions and therefore can have a direct impact on the quality of your service and customer satisfaction.
- Avoid dangerous situations. In areas like healthcare, badly labelled datasets can result in dangerous situations if the model is making the wrong conclusion.
- Outcome accuracy. Since a lot of the datasets need to be frequently refreshed, simply reusing open-sourced data may not be an option and put the outcome of the AI project into jeopardy.