Energy-intensive industries like oil and gas production, says Schneider Electric Chief Digital Officer Herve Coureil, will be the first to experience the efficiencies created by artificial intelligence.
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Duality Group CEO says people should abandon ‘top-down, godlike model’ and their need to understand
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We are sure somewhere you also have come across the name of artificial intelligence. The whole world is discussing the power of artificial intelligence and how it will influence humanity either in positive or negative ways. The terms machine language and artificial learning have become the most complex buzzword across the globe. But believe it or not, artificial intelligence is truly a game-changing technology in the field of enterprise learning. Some of the big organizations have actually been taking the full advantage of artificial learning.
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Data scientists at 20th Century Fox and Google Cloud have developed machine-learning software that can analyze movie trailers and predict how likely people are to see those movies in theaters.
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In recent years, small and major enterprises alike have started to focus more and more on understanding how they could apply Machine Learning to enhance their business operations.
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Most of the jobs that get displaced by computers or robots are menial labor that requires little or no education. However, now that machine learning algorithms are becoming more sophisticated, even highly educated positions could be replaced by automation.
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Marketing is a big numbers game. You need to track countless actions of countless leads across countless channels. You need to gather insights from every
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One of the problems that businesses can have protecting sensitive data is the task of actually locating it in the first place.
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Bias is an overloaded word. It has multiple meanings, from mathematics to sewing to machine learning, and as a result it’s easily misinterpreted.
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Crowdsourcing opens the door to solving a wide variety of problems that previously were unfeasible in the field of machine learning, allowing us to obtain relatively low cost labeled data in a small amount of time.
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