The AI development process usually consists of:
1) Defining the problem and project scope, gathering requirements, and understanding the desired outcome.
2) Data collection, preprocessing, and preparation for training the AI model.
3) Model selection, training, and fine-tuning using appropriate algorithms and techniques.
4) Evaluation of the model’s performance, iterating and refining as necessary.
5) Deployment and integration of the AI solution into the existing infrastructure, followed by monitoring, maintenance, and continuous improvement.