When formulating a business strategy for an Artificial Intelligence (AI) program, the first component to prioritize during solution building is the 'dataset'.

Datasets form the foundation upon which AI algorithms learn and make predictions. A comprehensive and high-quality dataset is crucial for the accuracy and effectiveness of any AI program.

Choosing the right dataset is a critical step in AI development, impacting the model's ability to learn and generalize to new data. Therefore, prioritizing the dataset at the outset ensures a strong foundation for building a successful AI solution.


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