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USE OF ARTIFICIAL INTELLIGENCE IN HR


           Present And Future






























              rtificial Intelligence is a part of Computer    We have seen different applications of Artificial
              Science, which creates a system to function     Intelligence in our day to day life. We shop online,
        Aindependently and intelligently. Humans can          and e-commerce site shows or recommends products
        understand and communicate through speech, which      according to our buying pattern. Driverless cars can
        is Speech Recognition in AI. Similarly, we can write and   understand the road map, its patterns, the proximity
        read text; see through our eyes, process information;   of objects, and hurdles with the data used to train
        understand the environment, move fluidly; these in    it. Nowadays, in Stock trading, AI understands its
        AI are the fields of NLP, Computer Vision, Robotics. We   behaviour and pattern to predict its price. A Huge
        can recognise patterns and can group similar objects,   amount of MRI data of Cancer patients are used to
        which in AI is called Pattern Recognition. Machines   provide the prediction of Cancer. Chatbots are a
        too, process data and predict an outcome that is part   common sight in many websites. They answer the
        of Machine Learning. The ability to mimic the brain   question based on data used to train them. Most of
        and its working, gaining cognitive capability, is Neural   the computer games are also AI-powered. Reading
        Networks’ field. Furthermore, complex networks are    or understanding an image with Robotics helps in
        the area of Deep Learning. Machines can learn from big   Automation in Manufacturing. Today’s security system
        data to understand the pattern in different dimensions   can recognise whether a person is a friend or a foe with
        and can predict or classify.                          AI implementation.



                                Robotics
                                                      SYMBOLIC
                                                      LEARNING
                          Computer Vision



                                                                                  ARTIFICIAL
                          MACHINE LEARNING
                                                                                INTELLIGENCE
           Statistical Learning                Deep Learning

           Speech
         Recognition     NLP           CNN                RNN

                                  Computer Vision

                                 Object Recognition


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