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There are different approaches or domains to achieve Artificial Intelligence. There are various methods
through which we can develop artificially intelligent systems. Let us learn about these domains.
Natural Language Processing
Big Data Computer Vision
NATURAL LANGUAGE PROCESSING (NLP)
This is a subfield of AI which helps in communication between human and computer in natural language. It
enables a computer to read and understand data by mimicking human natural language.
This subfield of AI is used for a variety of tasks such as email filters. A lot of people receive a lot emails Artificial Intelligence
which are useless. NLP checks the sender of the email and categorises the mails as spam or junk. NLP also
finds its use in the auto complete and spell check feature of word processors. NLP also proves to be quite
useful in voice text messaging and virtual assistants.
BIG DATA
AI’s ability to work so well with data analytics is because of its use of Big data. Without making its
presence known, Big data has already been everywhere. Big data has become a valuable commodity. It
can be defined as massive amount of stored data which when analysed properly could reveal valuable
insights into industry to which the data belongs.
Usage of Big Data in AI
Internet is the biggest data provider of consumer habits, likes and dislikes, activities and personal preferences
which were otherwise not possible. Social media accounts, online profiles, product reviews, tagged interest,
shared content, almost every information adds value to the Big data pool.
Using data from many sources, AI can build a store house of knowledge that ultimately leads to accurate
predictions about a consumer.
The AI Corner! (AI—Domains and Advantages) 149

