How Edge Analytics Will Drive Smarter Computing

Tapping edge computing and IoT devices for real-time analytics holds great promise, but designing analytical models for edge deployment presents a challenge.

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Many analytics and machine learning use cases connect to data stored in data warehouses or data lakes, run algorithms on complete data sets or a subset of the data, and compute results on cloud architectures. This approach works well when the data doesn’t change frequently. But what if the data does change frequently? Today, more […]
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