Amazon Comprehend is a natural language processing (NLP) service that can extract key phrases, places, names, organizations, events, sentiment from unstructured text, and...

Organizations across industries have a large number of physical documents such as invoices that they need to process. It is difficult to extract...

Named entity recognition (NER) involves sifting through text data to locate noun phrases called named entities and categorizing each with a label, such...

In today’s world, social media has become a place where customers share their experiences with services that they consume. Every telecom provider wants...

In recent years, AWS customers have been running machine learning (ML) on an increasing variety of datasets and data sources. Because a large percentage of organizational data is stored in relational databases such as Amazon Aurora, there’s a common need to make this relational data available for training ML models, and to use ML models […]

Veeva Systems is a provider of cloud-based software for the global life sciences industry, which offers products that serve multiple domains ranging from clinical, regulatory, quality, and more. Veeva’s Vault Platform manages both content and data in a single platform that allows you to deploy powerful applications that manage the end-to-end process with content, data, […]

The healthcare industry is a highly regulated and complex industry where a great deal of information exchange occurs via verbal communication. This audio...

Amazon Web Services (AWS) is happy to announce the general availability of Notebooks within Amazon SageMaker Studio. Amazon SageMaker Studio supports on-the-fly selection...