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Achieving Trusted AI in Manufacturing

Cloudera

Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextual data, you can predict how the equipment will behave and when the equipment or a component will fail. Eliminate data silos.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Those who work in the field of data science are known as data scientists. Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics.