A retailer ingests billions of web clicks and thousands of product images every day and wants to update product recommendations for each shopper in near real time without adding a large manual team. Which business value of machine learning makes this possible?
The capability to analyze huge volumes of structured and unstructured data and generate decisions at scale.
A built-in guarantee that every model decision will be fully explainable to non-technical stakeholders.
The elimination of any need for data-quality checks because algorithms ignore bad data.
Automatic tuning of cloud infrastructure to always run at the lowest possible cost without human input.
Machine learning algorithms can automatically discover patterns in massive amounts of structured and unstructured data (such as click logs and images) and produce recommendations at machine speed. This ability to work with very large datasets and scale decisions far beyond what human analysts could handle is a key source of business value. The other options describe benefits that ML does not inherently provide: it does not eliminate data-quality requirements, automatically guarantee full explainability, or tune cloud infrastructure for lowest cost.
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