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Tagging complex documents can be a huge hassle, especially for our mobile users. Today on Developer deep dive, well be talking about some of the machine learning algorithms behind our auto-tagging technology. [MUSIC PLAYING] Hi, my name is Matthew Roknich, a developer advocate at . Joining me today is Raphael Alabi, PhD and senior machine learning engineer. Raph, it is great to have you on the program. Thank you so much for having me, Matt. I really appreciate it. So before we begin, I want to ensure that all of our viewers understand some key terminology and the most basic e-signature object model. So the object model consists of 4 kinds of objects, envelopes, documents, recipients, and tabs. Tabs and fields are locations in a document where a recipient must provide input. This could be a signature, text, initial, or any number of other types. So, Raph, where does this flow go awry? Thank you. I think what we noticed was that our mobile application users were having a hard time pro