Traditional data sourcing processes are fundamentally too slow and rigid to support modern agile machine learning workflows. Data scientists often discover that their historical datasets lack representation for crucial minority classes or newly introduced user behaviors. Artificially engineered data solves this problem by allowing teams to programmatically specify the exact distributi... https://www.syntellix.ai/about/