What does it really take to move from a GenAI prototype to a production-ready system? AWS AI Engineering Specialist Dennis Traub breaks down the hard truths behind scaling, securing, and monitoring AI systems — Bedrock, MCP, and agentic workflows included.
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Why this matters for deep tech: Productionizing AI is an infrastructure discipline: scaling, security, observability, and orchestration. Traub's walkthrough is the engineering layer beneath the GenAI hype.
In this episode, we cover:
- Dennis Traub (AWS) on moving GenAI from prototype to production
- Scaling, securing, and monitoring AI systems
- AWS Bedrock, MCP, and agentic workflows
- Why most GenAI prototypes never reach production
- The engineering reality behind AI systems
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