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.

Through automated NLP workflows, SWIFT can enhance your decision-making by processing documents such as records, emails, logs, and other sources. We will help you unlock new and deeper insights and knowledge from all types of structured and unstructured data — even integrating disparate spreadsheets, data, diagrams, maintenance manuals, etc. to:

• Automate retrieval of data, classification of documents, and content analytics without requiring specialized skillsets.
• Unlock layers of  information to use for prescriptive insights to reduce time to resolution with faster root-cause analysis.
• Take advantage of points of view and knowledge sources not represented in sensor data and other time-series data.