Benefits of managed AI data preparation
Data preparation in AI refers to the process of collecting, cleaning, transforming, and organizing data to make it suitable for analysis and use in artificial intelligence (AI) models. It is a crucial step in building effective and accurate AI models.
In many business contexts data will come from multiple sources and may be in need of aggregation, cleaning, transformation, splitting, labelling and in some contexts augmentation.

