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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.

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