AI in Production

The recap

This conference brings together professionals who build, deploy and maintain AI systems in production. You'll discover best practices, operational challenges and practical solutions to make your ML models and pipelines more reliable. A unique opportunity to network with peers and dive into responsible AI and LLM operational issues.

Highlights

• Deploying, scaling and monitoring models in real-world environments
• Observability, reliability and incident response for AI/ML systems
• LLM and agent reliability: evaluation, guardrails, costs and failure modes
• RAG, fine-tuning and generative AI in live products
• Governance, safety and compliance for AI in practice