R&D Talk 31 | From AI Prototypes to AI Platforms: How to Build Reliable Agentic Systems in Production (подія в архіві)

Many organizations have created an AI pilot project, but far fewer have projects successfully running in production where they can deliver value. What works for a demo or proof of concept often collapses in the real world. The models aren’t the problem, the infrastructure around them is. In production, applications are exposed to service outages, network timeouts, rate limits, process restarts, and hardware failures.

Join us to explore what production agentic systems require and how durable execution provides a solid foundation for AI applications that users can depend on.

What you will learn:

• Why AI workflows that work in a demo can fall apart when they reach production.

• What a production agentic system requires beyond the model: the foundation that makes it reliable.

• How you can handle retries, long-running processes, and human approvals through workflow orchestration.

• How durable execution keeps your workflow running correctly even when the underlying infrastructure fails.

🗓 May 27, 5- 6:00 PM EEST
📍 Online
🗣 In English

REGISTER hubs.ly/Q04d_YxF0

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