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In March 2016, Microsoft learned that using Twitter interactions as training data for machine learning algorithms can have dismaying results. Like all other big retailers, Target had been collecting data on its customers via shopper codes, credit cards, surveys, and more. Dataset trained Microsoft chatbot to spew racist tweets.
Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. billion , growing at a CAGR of 26.98% from 2016.
Perhaps a more direct way to say this in the context of economic value creation is that companies such as Amazon and Google and Facebook had developed a set of remarkable advances in networked and data-enabled market coordination. But over time, something went very wrong.
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