Find out how natural language processing generates significant business value

Most companies handle large volumes of text-based data in the form of documents, invoices, communications, tickets and more. If your talent is weary of the time-consuming and repetitive work needed to classify, process and act on textual data, we have good news. Natural language processing automates a significant portion of the document classification process:

• image/PDF processing
• identification of relevant information
• import of data into internal systems
• Trigger follow-up actions such as archiving, data validation, metadata autocompletion, notification, and exception handling

In this 21-minute keynote presentation, Cegeka Business Development Manager Bruno Mommens dives into the mechanics behind and productivity-boosting benefits of natural language processing.