WHAT DOES ARTIFICIAL INTELLIGENCE MEAN?
Artificial Intelligence refers to the vicinity of science and engineering focusing on developing the machines as intelligent as the humans. They are created to be fitted into place on behaviours that human regard as intelligent i.e. simulation of human behaviours which they consider as intelligent via the use of machines.
It is all concerned with developing the intelligent computer programs. The main objective behind the adoption of AI is to enable a machine to discover, analyse and crack the problems in parallel.
It is not essential that the computer programs developed are as intelligent as humans in all aspects. But in some aspects, the machine fitted with artificial intelligence can be even more intelligent than humans.
The future of artificial intelligence will change everything in our lives.
WHY DO WE NEED ARTIFICIAL INTELLIGENCE?
The integration of artificial intelligence into the computer programs, assists to create more efficient and effective systems. The opportunity in the form of AI is challenging and efficient at the same time.
The glaring pitfall to be kept in mind while talking about the efficiencies and the opportunities offered by this hi-tech world is that the amount of data being generated on a daily basis is rapidly increasing and it is becoming impossible to mine and analyse the data fully. The amount of data generation has made it impossible for the humans to deal with i.e. it has exceeded the capabilities of humans that they can extract the valuable information out of it.
The skilled professionals in the field of data science with the expertise and their skill sets try to create correlations between various inputs in order to draw out a specific output. But with the sheer volume of data, it has become relatively impossible to correlate every possible input.
This is where Artificial Intelligence can help. Incorporating AI into the systems lets you purify the raw facts into useful and palatable information.
The driver seat in the field of artificial intelligence is handled by the fresh and innovative codes generally referred to as algorithms.
Let us consider an example to understand how the AI works:
Facebook is a very popular social media platform. Facebook deciphers the user's likes, the activities etc. and then determine what all content is to be placed on his/her news feed. The longer the time you remain active on Facebook, the more and more data is being generated and stored in the warehouse.
The systems incorporated with AI uses the deep learning to get the incessant feedbacks on its algorithms as the users interact. This way the algorithms generally referred to as coding assist the Facebook to analyse the interactions of the users to determine the content to be mentioned on the news feed.
Not only Facebook, even Twitter uses the concept of AI to position the tweets based on the users' relevance and interests and also suggest them the tweets as per their interests.
Thus, it is always said that INTEGRATING AI IS A MUST, NOT A NEED.
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