AI Model Drift Explained
Understanding AI Model Drift and Its ImplicationsAI model drift is a phenomenon where the performance of an artificial intelligence model decreases over time as the data it was trained on becomes outdated or the underlying patterns in the data change. This can have serious implications for businesses and organizations that rely on AI models to make critical decisions.
Model drift can lead to inaccurate predictions, biased outcomes, and ultimately, a loss of trust in the AI system. It is essential for companies to monitor their AI models regularly and retrain them with new data to prevent drift from occurring. By understanding the causes and implications of model drift, businesses can take proactive steps to ensure the reliability and effectiveness of their AI systems.
In summary, AI mo...

