Difference between AI, Machine Learning, and NLP

People usually get confused between these three terms. The thing is that they are deeply interconnected. In a way, they are almost similar to each other, a perfect example of AI will include a blend of NLP and ML. NLP and ML are the branches of Artificial Intelligence. A combination of these three creates an intelligent system.

The AI and ML technology is being used for driving cars, manufacturing, outbound calling and inbound support, astrophysics and more. Right now, the machine learning industry focuses on supervised learning, which means that insights are attained from data. In the future, industries will adopt intelligent agents, and this will radically change every industry on the planet. This is the future of software, where artificial intelligence and machine learning creep into our daily lives in the digital world.

Natural language processing (NLP) is a field of artificial intelligence in which computers analyze, understand, and derive meaning from human language in a smart and useful way. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation.