However,Īre AI, ML and DL really the same things, as suggested by many Multiple research disciplines, from cognitive sciences to biology, finance, physics, and the social sciences, as wellĪs many companies believe that data-driven and "intelligent" solutions are necessary in order to solve many of their key problems. The problem has shifted fromĬollecting massive amounts of data to understanding it - turning it into knowledge, conclusions, and actions. Data isīecoming more meaningful and contextually relevant, breaks new ground for machine learning (ML), in particular for deep learning (DL),Īnd artificial intelligence (AI), and even moves them from research labs to production. The world is growing at an exponential rate, and so is the size of data collected across the globe. ![]() Artificial Intelligence = Machine Learning ?īig Data is no fad.
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