GenAI deployment: What's the worst that can happen?
Moving GenAI from a successful pilot to a production-ready application requires more than just scaling code. Learn how to navigate the complex security, safety, and deployment risks that emerge when taking models live.
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GenAI deployment: What's the worst that can happen?
Overview
The transition from experimentation to production is where most GenAI projects face their toughest hurdles, from cost management to unpredictable model behavior. This session provides a roadmap for safely deploying GenAI while maintaining model integrity and user trust.
- Understand the key differences between testing environments and live production risks.
- Learn to identify and mitigate deployment-specific vulnerabilities like data drift and prompt injection.
- Discover industry benchmarks and strategies for managing the long-term reliability of AI applications.
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