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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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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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OCBC Bank Accelerates Its Data Strategy with Cloudera 

Cloudera

Real-time data analysis for better business and customer solutions. Andrea Pisoni, Head of Data Science says “OCBC worked with Cloudera to design and secure big data platforms as part of its comprehensive data project. The partnership has enabled OCBC to better store, manage and harness the power of our data.”.