This session introduces three free software tools built on top of the Spark NLP library. They enable data science teams to deliver end-to-end natural language processing projects, with state-of-the-art accuracy, much faster than what was possible just a year ago. First, we'll cover the recent release of Python's NLU library, which provides training & inference over thousands of NLP models with one line of code. Second, we'll cover the Annotation Lab, which enables business domain experts to train & tune models using active learning and transfer learning, with support for enterprise-grade security, versioning, audit, and analytics. Third, we'll cover the NLP Server, which provides no-code access via a simple UI and API to the entire models hub.

Building Complete State-of-the-art Natural Language Processing Projects with Free Software
- PDT
cloud
David Talby is a chief technology officer at John Snow Labs, helping healthcare & life science companies put AI to good use. David is the creator of Spark NLP – the world’s most widely used natural language processing library in the enterprise. He has extensive experience building and running web-scale software platforms and teams – in startups, for Microsoft’s Bing in the US and Europe, and to scale Amazon’s financial systems in Seattle and the UK. David holds a Ph.D. in computer science and master’s degrees in both computer science and business administration.