Applied AI and machine learning are composed of many technologies and techniques (such as deep learning, neural networks and natural-language processing [NLP]). These technologies, which are different from traditional algorithms and programs, make the machines intelligent. Gartner predicts that the applied AI advanced machine learning will inspire applications like robots, autonomous vehicles, consumer electronics, virtual personal assistants, and smart advisors. The smart machines are context & event driven. They will be able to deal with complexities, understand, learn, predict, adapt and act anonymously. Hence, AI and Machine learning are one the latest technology trends of 2017.
Applied AI and machine learning are composed of many technologies and techniques (such as deep learning, neural networks and natural-language processing [NLP]). These technologies, which are different from traditional algorithms and programs, make the machines intelligent. Gartner predicts that the applied AI advanced machine learning will inspire applications like robots, autonomous vehicles, consumer electronics, virtual personal assistants, and smart advisors. The smart machines are context & event driven. They will be able to deal with complexities, understand, learn, predict, adapt and act anonymously. Hence, AI and Machine learning are one the latest technology trends of 2017.
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