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This subfield of AI is used for a variety of tasks such as email filters. A lot of people receive a lot
emails 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.
COMPUTER VISION (CV)
Computer Vision is a very popular field of AI that trains a computer to understand and interpret
the visual world. Human vision starts at the “eyes” but machine uses digital images from a camera
for vision. Deep learning models and machines accurately identify and classify objects that act
according to what they see, using digital images from camera.
Domains of AI 111

