Advanced Natural Language Processing with Free Low-Code and No-Code Tools

Today, applying state-of-the-art natural language processing (NLP) to extract information from documents and images requires data scientists who specialize in current deep learning and transfer learning techniques. However, new tools are automating a lot of the model selection, hyperparameter tuning, and pipeline optimization work to enable business domain experts – lawyers, doctors, financial analysts – to train & tune such models on their own. This session introduces the Annotation Lab: a free, enterprise-grade, privacy-focused tool that enables teams of domain experts to build highly accurate models that extract information from free-text and visual documents.

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 PhD in computer science and master’s degrees in both computer science and business administration.