Commentary: Infrastructure Considerations for Machine Learning

In this post, Dr. Rachel Traylor looks at machine learning in the enterprise. The issue is machine learning takes vast swaths of varied data to produce useful results, something that might constrain a production database. Dr. Traylor looks at the Sky Infrastructure Actifio presented at Tech Field Day in September as a possible solution. This saves a “golden copy” of data, with changes saved incrementally, and able to serve up “virtual copies” much more efficiently for testing.

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Commentary: Infrastructure Considerations for Machine Learning

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