ACCA Strategic Professional · Strategic Business Leader · Enabling success: disruptive technologies
Brightwell Manufacturing installs sensors on its machines and uses a model trained on past breakdown data to forecast failures so that parts are replaced before they fail. Which benefit of machine learning does this MOST clearly demonstrate?
This shows predictive analytics, where a machine learning model uses past breakdown data to forecast failures. It lets Brightwell move from reactive repairs to proactive maintenance, cutting downtime and cost. It is not rule-based automation or content generation, and it relies on historic data rather than removing the need for it.
- APredictive analytics enabling a shift from reactive to proactive maintenanceCorrect
- BAutomation of routine data entry through rule-based scripts
- CCreation of new marketing content from text prompts
- DReplacement of the need for any historic data
Explanation
Using historical data to forecast future failures is predictive analytics, allowing maintenance to be scheduled before breakdown and reducing downtime. Rule-based scripting describes RPA and content creation describes generative AI. Machine learning depends on historic data rather than replacing it.
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