A company has a proprietary dataset that might differentiate an AI product. Which two questions should strategy address? Select 2 answers.

1. Can every dataset be made public without considering confidentiality?
2. Is the data relevant, sufficiently high quality, and approved for this use?
3. Does uniqueness guarantee perfect model predictions?
4. Can the organization maintain the data and turn its insights into a defensible customer benefit?
5. Can source provenance be removed so competitors cannot inspect it?