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Humans of Reliability
Rootly
22 episodes
3 weeks ago
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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Technology
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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...
Show more...
Technology
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AI can boost developer productivity, if used right, with Justin Reock, Deputy CTO at DX
Humans of Reliability
37 minutes
8 months ago
AI can boost developer productivity, if used right, with Justin Reock, Deputy CTO at DX
In this episode of Humans of Reliability, we sit down with Justin Reock, Deputy CTO at DX, to unpack the real impact of generative AI on developer productivity. Drawing from early data in DX’s GenAI Impact Report, he explains why time savings alone don’t tell the full story and why the real value might lie in shifting cognitive load toward meaningful work. We also explore how traditional productivity metrics like PR throughput can backfire, why teams need to move beyond DORA, and how mo...
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...