Archive for Data Lake

Machine Learning with Data Overload

Just because we have a massive junkyard of data in a data lake does not mean we have the right data to answer key supply chain questions like: “How do I improve production rate, reduce maintenance costs, or improve product quality in my factory”. Machine learning with neural networks is a promising technology for extracting useful models for data, but typically needs very specific data that is not likely to be found in a data lake.

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