Contrary to classical AI, which is trained on a fixed set of historical data, Adaptive AI utilizes principles like continuous and self-learning to enable AI-based systems to be more productive, scalable, and sustainable over time. Quick decision-making is supported by adaptive AI, which also retains its flexibility to make changes as issues occur.
These systems aim to quickly respond to changes in real-time through continuous learning focusing on new input during runtime.
