Natural Language Processing (NLP) creates abilities for machines to understand, interpret, and generate human language by using statistical and Machine Learning (ML) techniques to process and analyze text and speech data. NLP applications include chatbots, sentiment analysis, machine translation, and much more.

Using these techniques to automate the retrieval of information, classification of documents, and content analytics, SWIFT transforms natural language content into structured data to process automation, decision support, and analytics, and predictive modeling when paired with automated model building software.

Operationalizing natural language enables high-value business outcomes like lowering operational expenses, capturing legacy knowledge, streamlining workflows, optimizing processes, and augmenting human intelligence. Leveraging human intelligence helps reduce bias and errors, while uncovering patterns and trends that provide fresh insights, actionable data, and improved decision-making.