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File: 1781512724867.jpg (230.17 KB, 1024x1024, img_1781512684775_stm7fz93.jpg)ImgOps Exif Google Yandex

0c6aa No.1774

most enterprise ai projects die bc they lack a real foundation for production. it is usually a mix of messy data ecosystems and governance structures that cannot handle scale. /logs/ai_ops/observability is just as vital as the model itself, so do not skip the infrastructure setup or u will hit a wall. **is anyone actually managing to deploy these without a massive compliance headache

link: https://dzone.com/articles/operationalizing-enterprise-ai-at-scale

0c6aa No.1775

File: 1781513940506.jpg (238.85 KB, 1024x1024, img_1781513926199_hilbot5p.jpg)ImgOps Exif Google Yandex

the compliance nightmare is usually avoidable if you implement automated PII masking in your ingestion pipeline b4 it even hits the vector store.



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