ai glossary terms Articles and Reports
Business leaders don’t need to know how to code an artificial intelligence application from scratch - but they could be able to speak the language of data science. Below is a list of our AI glossary terms of business leaders:
Emerj Technical Advisor, German Sanchis Trilles, PhD, defines natural language processing as:
“...everything which is related to human language. If you have a system that needs to recognize what a human wrote, that’s NLP. If you have a system that tries to understand what a human said with his voice or with her voice, that’s NLP as well. If you want a system to speak and to do some speech synthesis, that’s NLP as well.
Chatbots have in large part dominated the AI conversation in the enterprise. This has ignited interest in the technology that makes this possible: natural language processing, or NLP. But NLP is not limited to chatbots and covers a broad range of AI capabilities that can be used in several applications.
Typing "what is machine learning?" into a Google search opens up a pandora's box of forums, academic research, and here-say - and the purpose of this article is to simplify the definition and understanding of machine learning thanks to the direct help from our panel of machine learning researchers.