Answer:
Once the business strategy is defined for an artificial intelligence program, the first component when building the AI solution should be data. Data is the foundation of any AI system, and it is critical to have a high-quality and diverse dataset to train the AI models effectively. The dataset should be selected based on the business problem the AI is intended to solve, and it should be relevant, accurate, and comprehensive. Additionally, it is essential to ensure that the data is collected ethically and with proper consent and privacy measures. Once the dataset is established, the next step is to preprocess and clean the data, and then to use it to train and validate the AI models.