Curious how leading enterprises monitor and manage AI in production—and trace root causes fast?
In this webinar, NC State Computer Science Professor and InsightFinder AI CEO Dr. Helen Gu, along with InsightFinder AI VP of Product Kieran Byrne, share how top enterprises—including major credit card providers and global investment banks—use InsightFinder AI to detect drift, stop hallucinations, perform root cause analysis, and ensure model reliability in real time.
🔗 Request your free trial → https://insightfinder.com/request-free-trial/
💡 What You’ll Learn
-What causes model drift, hallucinations, and performance issues in LLMs
- Why AI observability is critical when scaling from experimentation to production
-How InsightFinder AI detects and diagnoses problems before they impact users
-Root cause analysis across model, data, and infrastructure layers
- Monitoring for both LLMs and traditional ML models—in real-time, across pipelines
-Live demo: dashboards, real-time monitors, and evaluation tools
- LLM Labs: test and compare models like GPT-4, Claude, DeepSeek & more
- Enterprise use cases in finance, cybersecurity, and trading
👀 Try It Yourself
🔗 Request your free trial → https://insightfinder.com/request-free-trial/
🌐 Learn more about our platform → https://insightfinder.com
👍 Subscribe for more AI observability demos and enterprise use cases.
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