Anything that succeeds in production runs exactly as expected: reliably, transparently and without breaking under high pressure. The same should be true for generative AI (GenAI). You build the application, test it and stress it. But moving it into production is rarely simple. Only about 5% of pilots make it to production. Development and production environments are often mismatched.
Earlier AI models (traditional AI) were easier to test and deploy. Today’s GenAI systems, by contrast, require a lot more collaboration, constant validation…
