Industry experts are emphasizing that success in AI depends on mastering the entire machine learning lifecycle — from data preparation and model training to deployment, monitoring, and governance.

What are the stages in the life of an AI model? It starts with inception: This involves defining the kinds of problems that the AI model will solve, and setting associated goals. Then comes design and ...