Webinar

The Post-Model Era and what it means for Enterprise AI

May 12, 2025

Join Ori Goshen, Co-Founder & Co-CEO of AI21 Labs, and Steve Nouri, Founder of GenAI Works, to discuss what comes after the race to build the biggest model. The bottleneck for most enterprises isn’t model capability. It’s the orchestration, evaluation, and architecture required to make AI work reliably in production. Ori and Steve cover the shift from a model-centric industry to systems of models, why production-grade quality, cost, and latency are harder to optimize than in prototypes, and the patterns that close the gap.

Listen to learn how to:

Move workflows from prototype to production while meeting enterprise requirements for quality, cost, and latency at the same time.
Orchestrate a system of models with a meta-model that profiles cost, quality, and latency across available models and tools, then selects the optimal execution strategy at runtime instead of relying on manually tuned pipelines.
Build the evaluation discipline that makes optimization possible, treating evals and specifications as the new PRD, with techniques like multi-attempt sampling and deeper customization on proprietary data when standard methods underperform.