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I work with AI Development Services, a software engineering team focused on custom AI systems. We build machine learning services and integrate them into existing products, especially enterprise software.
The difficult part is usually not the first model demo. It is connecting the AI layer to production data, permissions, business rules, monitoring and human review. We outline this engineering approach at <a href=https://ai-development-services.com/>;AI Development Services</a>.
For teams already running AI in production, which integration or reliability issue required the most work?
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