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An MLOps workflow for evaluating deploying and rolling back AI applications
Organizations cannot solve shadow AI with a document employees read once. They need to make responsible use easier than improvised use.

Signature-based detection has always known what it was looking for. Machine learning and autonomous agents are changing the question entirely, shifting from "does this match a known pattern?" to "does this actually make sense in context?"

What interviewers are actually looking for is very different from what you'd assume if you're the one sweating in the hotseat.
Why AI-accelerated teams keep breaking production — and what the ones that don't are doing differently
From sprawling PDFs to a fast, factual conversational assistant.
