What are the most important considerations when organizations build their own AI model? How do teams handle data preparation, model training, deployment, and performance monitoring? Is it more effective to customize existing foundation models or develop a solution from scratch?

Would love to hear insights, experiences, and best practices from those who have worked on AI model development projects.