The convergence of Big Data with Artificial Intelligence has emerged as the single most important development that is shaping the future of how firms drive business value from their data and analytics capabilities.
Artificial Intelligence and Machine Learning are two very hot buzzwords right now, and often seem to be used interchangeably. Both terms crop up very frequently when the topic is Big Data, analytics, and the broader waves of technological change which are sweeping through our world.
For both, the real value to enterprises depends on data.Despite this, Artificial Intelligence and Machine Learning are not quite the same thing, but the perception that they are can sometimes lead to some confusion.
Artificial intelligence (AI) is the intelligence exhibited by machines. The term “Artificial Intelligence” is applied when a machine mimics “cognitive” functions that humans associate with other human minds, such as “Learning” and “Problem Solving”.
Machine Learning (ML) is a class of algorithms that automates analytical model building and gives computers the ability to learn without being explicitly programmed.
Using algorithms that iteratively learn from data Machine Learning allows computers to find hidden insights without being explicitly programmed.
