The saying goes that machine learning is about data and algorithms, but mostly data. In a real-world industrial setting, this data is usually messy, error-laden, and inconsistent. This session will present how Cognite is using a wide range of tools in Google Cloud Platform, including Cloud Bigtable, Cloud PubSub, Cloud SQL and AutoML, to address the key pain points in a scalable machine learning workflow:
– Live data preparation and aggregation.
– Data contextualization at scale.
– Implementation and operationalization of models.
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Publisher: Google Cloud
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