Artificial Intelligence; It's Time To Innovate The Future

Recall how you spend an average day of your life- you get up, then you check your smartphone and  You reach your workplace, and then start working over the internet . Can we imagine our life without artificial intelligence or without computers? We humans are lazy species. We would love to live in a world where there is minimal human labour and thus we are able to save plentiful time. Also we are producing huge lumps of data all the time. We as humans need something that processes and handles those data to minimize the strenuous efforts being put into handling it. This processing and handling of data is called data science. Data science in simple words, is the scientific study of data, which stores, records and analyses data for our benefit. Data science and artificial intelligence, are the two most important technologies in the modern world. It makes use of artificial intelligence in its operations. In simple words it is the simulation of human intelligence, which is processed by machines especially computer systems which includes learning information acquisition and rules for using it. When we hear the term artificial intelligence, the first thing that comes to the mind is robots. That's because big-budget films and novels about human-like machines that cause damage on Earth. But nothing could be farther from the truth. As technology progress, previous exemplar that defined artificial intelligence become outdated. For example, machines that calculate basic functions or recognize text through optimal character recognition are no longer considered to include artificial intelligence, since this function is now treated as an inherent computer function. John McCarthy coined the term Artificial Intelligence in 1956 and was defined as the science and engineering of making intelligent machines. Hence AI mainly focuses on developing machines to think and work just like humans. There is no doubt in saying that technology is an essential part of the development and growth. A thin line or mistake leads to disruption or destruction.