Hi,
I think I understand the basics of metadata, as a way to connect documents that would otherwise not connect be connected (say in a folder structure or via search). And the prospect of having AI extract metadata is huge, given that having humans doing this is laborious and error-prone, and thus a difficult and predictably under-used part of Box use until now.
What do you (for example, metadata and AI product managers and power users) see as the role of metadata in an era where AI itself can now explore a storehouse of unstructured data via prompts, set up workflows and more. Realizing there are still likely unknowns, is the innovation of AI metadata extraction something that has a specific purpose now and for the foreseeable future, or might continuing AI developments preclude its value at some point (maybe 5-10 years out, or maybe sooner?).
I’m not meaning to take the glitter off the gold of this fantastic step forward in metadata assignment…it is likely more about my lack of knowledge of how metadata will have value even as the power of AI continues to advance. I have a few interesting use cases with Box, potentially utilizing metadata, and it’ll help me to get a better understanding of how the two interact as I work through use cases.
Thank you!
