andrewleo
on June 17, 2021 59 views
Businesses are leveraging AI and ML capabilities to combat challenges such as predicting customer churn, improving the environment, identifying promising medical treatments, etc. But not enough attention is paid to the data that fuels these machine learning algorithms. And this is a major problem since the AI model is as smart as the data it is fed with.
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