technology

Traditionally, the life cycle of an AI Model is mostly centralized at every stage from data acquisition and learning to deployment. Most Data Science projects developed in the last few decades follow this standard development pattern and life cycle. Multiple iterations of this end-to-end cycle might be required for creating an efficient model. In most…