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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.
Developed by scientists at DAMO Academy, Alibaba's global research program, the Alibaba
model scored 0.54 in the MS Marco question-answering task, which evaluates a machine's
ability to use natural language that topped the human score of 0.539.
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.
According to Fei-Fei Li, Computer Vision is defined as “a subset of mainstream artificial intelligence
that deals with the science of making computers or machines visually enabled, i.e., they can analyse
and understand an image.”
Applications of Computer Vision
From recognizing to processing the live action of a football game, Computer Vision challenges and
surpasses human visual abilities in many areas.
Domains of AI 115

