No-Code, Large Scale Deployments, and Multimodal Approaches Will Define NLP in 2022

NLP at a glance
When most people think of natural language processing (NLP), voice assistants like Alexa and Siri come to mind. While human and machine interaction has come a long way, it’s just scratching the surface of what the technology can do. In fact, the most impactful use of NLP doesn’t involve speech at all. 
But let’s start by defining NLP. The technology is a subset of artificial intelligence (AI) and machine learning (ML) that focuses on enabling computers to process and understand human language. While speech is part of it, the most impactful progress in NLP lies in its ability to analyze written text. 
As such, NLP is happening largely behind the scenes. But people are interacting with it more than they know. From hospitals, to financial services, to law offices, NLP is powering a good amount of the reading, writing, and data analysis used to administer these services. Even as a young technology, it’s made its mark in the enterprise over the last several years.

Written By: David Talby

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