What technology does AI utilize for predictive analytics?

AI leverages machine learning techniques and algorithms for predictive analytics because these methods enable systems to learn from data patterns and make informed predictions based on historical information. Machine learning involves training models on large datasets, allowing the AI to recognize trends and correlations that can inform future outcomes. This dynamic approach is particularly valuable in predictive analytics as it adapts and improves over time, leading to more accurate predictions as additional data becomes available.

In contrast, biometric identification techniques primarily focus on recognizing physical attributes for authentication, static data processing methods do not offer the adaptive learning feature essential for prediction, and traditional programming logic relies on predefined rules rather than learning from data. Therefore, machine learning stands out as the most effective technology for enabling predictive analytics within AI systems.