The challenges with AI data analysis mirror those of humans–the hard part is finding and prepping the data, and the analysis itself is the easy part. Current AI tech mostly relies on humans to deal with the hard part by constraining the scale to a handful of tables and requiring human curation via data warehouses, databases, and other tabular file formats.
I’ll demo a prototype I’ve built that discovers open datasets across the web & indexes them so that users (and AI agents!) can search across millions of tables/columns along dimensions like semantic similarity, joinability, data shape, data quality, etc.
