Artificial intelligence (AI) is changing the way we look at the world. AI "robots" are everywhere. From our phones to devices like Amazon's Alexa, we live in a world surrounded by machine learning.

Natural language processing has enormous potential for organizations to use text and spoken data in applications, but few companies take full advantage of it. How can companies improve their NLP ...

Teaching computers to make sense of human language has long been a goal of computer scientists. The natural language that people use when speaking to each other is complex and deeply dependent upon ...

People have been trying to use computational methods to analyze human language for over 50 years, but it's only recently that NLP has come into its own. Natural language processing is a type of ...

Language technology has grown fast, but it still feels frustrating at times. Maybe your virtual assistant misunderstands commands, or translation tools miss the tone of a sentence. These gaps can ...

Software is going beyond storing and retrieving unstructured information by using NLP to improve user experiences, manage complex information, enable chatbot dialogs, and perform text analytics Most ...

Natural language processing (NLP) is rapidly becoming as integral to the workplace as communication itself. From chatbots to language translation and voice-activated platforms, we have watched the ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...