Your AI prototype works. Your production AI system doesn't. Here's why.

Most developers can call OpenAI's API, but building AI systems that survive real enterprise environments requires a completely different architecture. This talk reveals the production patterns that separate working AI products from expensive demos.
Through live demonstrations using PortKey AI Gateway, you'll see how production AI systems actually work: multi-LLM orchestration, real-time failover, A/B testing at scale, and the governance layers that keep everything from falling apart.
You'll discover:

Why single-LLM integrations fail in production (and the multi-provider patterns that don't)
How Netflix-style A/B testing applies to AI model selection
The hidden governance requirements that kill AI projects in the enterprise
Real guardrails vs. the "prompt engineering" solutions that don't scale

Perfect for: Developers planning AI integrations, architects designing AI-powered products, and anyone tired of AI talks that ignore production reality.

Walk away with: Battle-tested architecture patterns, implementation blueprints, and the confidence to build AI systems that actually ship.