GenAI demos are easy. Production is where everything breaks. In this episode, Eduardo Ordax, Principal GTM GenAI at AWS, breaks down what actually stops companies from shipping reliable AI systems, and why the real blockers have little to do with technology. We dig into the culture problems that slow down adoption, the endless cycle of experimentation, and why non-deterministic LLMs don’t fit neatly into traditional web-app architectures. Eduardo also shares what he’s seeing across industries...
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GenAI demos are easy. Production is where everything breaks. In this episode, Eduardo Ordax, Principal GTM GenAI at AWS, breaks down what actually stops companies from shipping reliable AI systems, and why the real blockers have little to do with technology. We dig into the culture problems that slow down adoption, the endless cycle of experimentation, and why non-deterministic LLMs don’t fit neatly into traditional web-app architectures. Eduardo also shares what he’s seeing across industries...
In this episode, we sit down with Sean Goedecke, Staff Software Engineer at GitHub, to discuss where LLMs fit into real-world development. Sean shares how he’s using LLMs how he’s drawing the line for AI-assistance in the codebases he manages—though, as he says, this might all change by next summer. Sean also weighs in on how LLMs could assist SREs during outages—especially when you’re only half-awake at 3 a.m. after a rather inconvinient page. Tune in for a nuanced take on ...
Humans of Reliability
GenAI demos are easy. Production is where everything breaks. In this episode, Eduardo Ordax, Principal GTM GenAI at AWS, breaks down what actually stops companies from shipping reliable AI systems, and why the real blockers have little to do with technology. We dig into the culture problems that slow down adoption, the endless cycle of experimentation, and why non-deterministic LLMs don’t fit neatly into traditional web-app architectures. Eduardo also shares what he’s seeing across industries...