Do you need real data or could you use synthetic data?
For example, synthetic data can be especially valuable for training purposes.
I'm not sure, what are synthetic data?
Synthetic data is data that is artificially created rather than being generated by actual events.
Synthetic data can be entirely fictitious, invented often with specific trends and patterns built in for algorithm testing and evaluation. Or it can be seeded with real data. This is where real data is used to derive the synthetic data through algorithmic processing and where trends and statistical relevance are mirrored from the seed (real data) to the synthetic data. Synthetic data is a type of data augmentation, it allows existing data to be protected, expanded and enhanced.
It can be used for a range of activities, particularly in the early stages of a project; including as test data for new products and tools, for model validation, and in AI model training.