Second, TensorFlow services on GCP should be super easy to use. However, on the AI & ML page of the GCP website, there is only one dedicated product for TensorFlow, which is the TensorFlow Enterprise. None of the rest of the products even mention TensorFlow as a promotion. - Source: dev.to / over 1 year ago
I'm biased, but giving my honest personal opinion here, I think this sounds like a bad idea. I'm not optimistic about Databricks long term. They are a data prep company masquerading as a data science company. Nothing wrong with that, but Spark resources are expensive compared with SQL, and they are at risk from all fronts (Cloud providers, Snowflake, AI/ML platform players, etc.). I see their Databricks controlled... Source: about 2 years ago
You may try to train an AI model, and then perform the check. This seems to be a use case for Google Cloud platform AI engine. You'll want to research on this: https://cloud.google.com/products/ai. Source: about 2 years ago
When it comes to ML/AI, IMO, GCP has AWS beat. The operationalization story around Google's AI Platforms is miles ahead of AWS in my experience. Source: about 3 years ago
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