Computer scientists have been seriously exploring artificial intelligence — the idea that machines can mimic the cognitive functions of the human brain — for more than 60 years. No longer the stuff of science fiction, AI now has practical applications across industries and functions, and businesses are adopting it for everything from marketing personalization and image classification to supplychain optimization and fraud detection. One technique in particular forms the backbone of many organizations’ AI strategies: machine learning (ML), which uses large volumes of data to train sophisticated algorithms to self-improve.
Computer scientists have been seriously exploring artificial intelligence — the idea that machines can mimic the cognitive functions of the human brain — for more than 60 years. No longer the stuff of science fiction, AI now has practical applications across industries and functions, and businesses are adopting it for everything from marketing personalization and image classification to supplychain optimization and fraud detection. One technique in particular forms the backbone of many organizations’ AI strategies: machine learning (ML), which uses large volumes of data to train sophisticated algorithms to self-improve.
Computer scientists have been seriously exploring artificial intelligence — the idea that machines can mimic the cognitive functions of the human brain — for more than 60 years. No longer the stuff of science fiction, AI now has practical applications across industries and functions, and businesses are adopting it for everything from marketing personalization and image classification to supplychain optimization and fraud detection. One technique in particular forms the backbone of many organizations’ AI strategies: machine learning (ML), which uses large volumes of data to train sophisticated algorithms to self-improve.
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