Most of us first get to experience about AI through Sci-Fi movies. You might have watched at least one AI movies from all time favorite AI movies such as Metropolis, Terminator, Blade Runner, Wall-E, Ex-Machine etc. But not like in the movies, AI in real life is not even closer to what we see in them even up to today. So where did it all start in real life? And how did it start?

General Definition: Artificial intelligence is a branch of computer science, which is concerned about the study of mechanisms of intelligent human behavior. It is done by simulation using artificial artefacts, usually with computer programs on a calculator (computer simulation). Realistic definition: The general meaning of AI suffers from the fact that the terms "intelligence" and "intelligent human behavior" themselves are not yet well defined and understood. On the other hand, AI is also a tool that can be used to empirically test theories of intelligence. The execution of programs on computers represents empirical experiments.

But what does it mean, and more importantly, what might it mean for you in the future? First, let's get on the same page in case you are one of the many who looks up most acronyms these days because acronyms appear and disappear so quickly. "A branch of computer science dealing with the simulation of intelligent behavior in computers (…machine to imitate intelligent human behavior)" "A field of computer science that uses statistical techniques to give computer systems the ability to'learn' (e.g., progressively improve performance of a specific task) with data, without being explicitly programmed" Another related term is "expert system," closely related to both AI and ML, which uses a knowledge base of expert information plus an inference engine to make decisions and solve complex problems. The Merriam-Webster definition of AI (specifically, "…machine to imitate intelligent human behavior") did put a smile on my face as I contemplated whether a computer imitating stupid human behavior would qualify as artificial intelligence, or do we also need a definition for artificial stupidity? You may think I'm kidding, but it's only a slight exaggeration if you realize that some of the current buzz around Google Duplex and Assistant emphasizes a computer agent that can imitate the voice, pauses, and false starts inherent in human communication.

To borrow a cliché opening from the last high school commencement or Maid of Honor speech you heard, the dictionary defines artificial I\intelligence (AI) as 1: a branch of computer science dealing with the simulation of intelligent behavior in computers; and 2: the capability of a machine to imitate intelligent human behavior. But, do these definitions really explain the difference between an artificially intelligent system and one that's just programmed to be useful? What is "intelligent" behavior or, more specifically, "intelligent human behavior"? The definition is clearly open to some level of interpretation. Combine that ambiguity with the term's cool sci-fi connotations, and you get a world in which, as The Atlantic's Ian Bogost puts it, "deflationary examples of AI are everywhere."

Artificial Intelligence:: AI is the capability of a machine to imitate intelligent human behavior. BMW, Tesla, Google are using AI for self-driving cars. AI should be used to solve real world tough problems like climate modeling to disease analysis and betterment of humanity. Boosting and Bagging: it is the technique used to generate more accurate models by ensembling multiple models together Crisp-DM: is the cross industry standard process for data mining. It was developed by a consortium of companies like SPSS, Teradata, Daimler and NCR Corporation in 1997 to bring the order in developing analytics models.

Artificial Intelligence:: AI is the capability of a machine to imitate intelligent human behavior. BMW, Tesla, Google are using AI for self-driving cars. AI should be used to solve real world tough problems like climate modeling to disease analysis and betterment of humanity. Boosting and Bagging: it is the technique used to generate more accurate models by ensembling multiple models together Crisp-DM: is the cross industry standard process for data mining. It was developed by a consortium of companies like SPSS, Teradata, Daimler and NCR Corporation in 1997 to bring the order in developing analytics models.

Artificial intelligence (AI) is already infiltrating all industry verticals (and business processes) – as well as the home. Amazon's Alexa can order you an Uber, tell you the weather, pull up your dinner recipe – and even turn on your oven to begin your meal preparation. This is just the beginning. In fact, AI is projected to grow to become over a $5 billion market by 2020. So, what is the force behind this unavoidable AI phenomenon and momentum?