Data Agnostic refers to the ability of an Artificial Intelligence (AI) system to operate without being specifically tailored or trained on a particular type or set of data. This is useful in situations where an AI system needs to be applied to a diverse range of data sources or types, or where the data available for training is limited or unreliable. For example, the Pixis AI systems are data agnostic and can learn from any and all types of data that are provided to them.
