Session
From AI Side Project to Production
From AI Side Project to Production: How to Actually Scale GenAI Applications
Everyone has built a ChatGPT wrapper. Few have scaled one.
In session, we’ll break down what separates AI demos from production-ready systems. You’ll learn:
- Why most AI pilots fail to scale
- How to design a scalable GenAI architecture (APIs, orchestration, observability)
- Cost control strategies for LLM-based applications
- Governance, security, and compliance considerations
- Measuring ROI beyond "it sounds cool"
Using real-world commerce and enterprise use cases, we’ll walk through how to move from hackathon-grade prototypes to durable, enterprise-grade AI platforms.
Perfect for developers building AI products, founders integrating LLMs, and engineers modernizing legacy systems.
Yesha Patel
IBM - Senior Solution Architect
Tampa, Florida, United States
Links
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