How does data distribution shift impact the scalability and adaptability of AI models?

It can degrade model performance and require continuous retraining.
It has no impact on either scalability or adaptability.
It improves both scalability and adaptability.
It only affects adaptability, not scalability.

Data distribution shift can negatively impact the scalability and adaptability of AI models. When the distribution of incoming data changes over time, models may lose accuracy and require frequent retraining to adapt to the new distribution, making them less scalable and adaptive.

Add your answer