The more mature form of text analytics is performed on unstructured data sources such as documents, emails, and webpages. Advanced machine learning techniques have become popular for the rapidity with which they not only can understand this information, but also produce pertinent analyses and summaries of its import to business objectives. Methods involving transformers, Bidirectional Encoder Representations from Transformers (BERT) and, more recently, Generative Pre-trained Transformer 3 (GPT-3), are lauded for these capabilities—especially for their NLG propensities. They can provide “excellent exercises of summarization of conversations, sentiment analysis, keyword extraction, and things of that nature,” maintained Ignacio Segovia, Altimetrik head of product engineering.