AWS does *so* many things right, but spraying ML models at customers (similar to way too many "purpose-built databases") seems wrong. At some point you can have too much choice. Customers want guidance on what to use, when, not "here's a billion options. Knock yourself out"
AWS ML Strategy: Too Many Options, Not Enough Guidance
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