Data Prep Ops is the “Missing Piece of the ML Lifecycle Puzzle” according to our CEO, Jennifer Prendki.
For today’s AI to work, we must standardize the ML lifecycle and start with a data-first approach and one that does not require the need to store multiple, unuseful data by the millions of terabytes. It will require data and machine learning scientists/engineers to think about how to operationalize the process of data acquisition, curation, usage, and storage. We will need to enter the age of Data Prep Operations.
Using the form, download our guide “An Intro to Data Prep Ops”, today.