Best of Both Worlds with Continuous Machine Learning: Do More with Less Computational Resources

SUMMARY

Continuous machine learning adapts models instantly, reducing errors and enhancing efficiency. On stock market data, TAZI’s continuous learning system demonstrated comparable accuracy to XGBoost and decision trees but was up to 127 times faster, significantly cutting computational costs.

This whitepaper highlights how continuous learning enables faster updates, cost savings, and democratizes AI for businesses of all sizes by minimizing infrastructure needs.