Curious how top enterprises keep AI models accurate, reliable, and under control?
In this expert-led webinar, NC State Computer Science Professor and InsightFinder AI CEO Dr. Helen Gu and VP of Product Ciaran Byrne share proven strategies from leading enterprises—including global banks and credit card providers—on monitoring AI in production and tracing root causes fast.
What You’ll Learn:
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Causes of model drift, hallucinations, and performance degradation in LLMs
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Why AI observability is critical when scaling from experimentation to production
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How InsightFinder AI detects and diagnoses issues before they impact users
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Root cause analysis across model, data, and infrastructure layers
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Real-time monitoring for LLMs and traditional ML models
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Live demo: dashboards, monitors, and evaluation tools
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LLM Labs: test & compare models like GPT-4, Claude, DeepSeek & more
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Enterprise use cases in finance, cybersecurity, and trading