The areas where AI is used are: Machine learning uses statistics. Deep Learning uses artificial neural networks.
Supervised learning — show the machine what you want it to do. Unsupervised learning — models learn on their own without the need of labeled data by finding patterns and commonalities. Reinforcement learning is when you give the end goal and set of rules, but no labeled data.
Next to a proper model, the second most important thing for an AI project to succeed is the data that we train the model with.
An example of a Kanban board states for an AI project.