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Ben Lorica speaks with Helen Gu, CEO of InsightFinder AI and professor at North Carolina State University, about why reliability is becoming a central challenge for enterprise AI. They discuss AI incident response, monitoring agents in production, domain-specific small language models, causal inference for operational data, and why the “last 1%” of accuracy and reliability is often the hardest part of deploying AI systems.
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Detailed show notes and transcript, can be found on The Data Exchange web site.
By Ben Lorica4.6
3737 ratings
Ben Lorica speaks with Helen Gu, CEO of InsightFinder AI and professor at North Carolina State University, about why reliability is becoming a central challenge for enterprise AI. They discuss AI incident response, monitoring agents in production, domain-specific small language models, causal inference for operational data, and why the “last 1%” of accuracy and reliability is often the hardest part of deploying AI systems.
Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/
Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS.
Detailed show notes and transcript, can be found on The Data Exchange web site.

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