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Noah is CTO at Fathom Robotics, where inference cost is a line item the board reads every month. He previously built pricing systems at a payments company.
Sessions (1)
- Closing panel: what we got wrong about agents
Tuesday, October 13: 04:00 PM - 05:00 PM · Main Stage
Product
- Closing panel: what we got wrong about agents
Rafael helps enterprise teams take AI prototypes into production, which mostly means helping them delete things.
Sessions (1)
- What users actually do with your AI feature
Tuesday, October 13: 09:30 AM - 10:30 AM · Main Stage
Product
- What users actually do with your AI feature
Ava leads the evaluation platform at Lumen AI, where she is responsible for making sure model changes ship without quietly regressing customer-facing quality. She spent six years in search relevance before moving to LLM systems.
Sessions (2)
- Building reliable agents: a practitioner's playbook
Monday, October 12: 10:00 AM - 11:00 AM · Main Stage
AI Engineering - Closing panel: what we got wrong about agents
Tuesday, October 13: 04:00 PM - 05:00 PM · Main Stage
Product
- Building reliable agents: a practitioner's playbook
Daniel builds clinical decision-support systems at Meridian Health, in a regulatory environment where 'we will fix it in the next deploy' is not an option.
Sessions (1)
- Closing panel: what we got wrong about agents
Tuesday, October 13: 04:00 PM - 05:00 PM · Main Stage
Product
- Closing panel: what we got wrong about agents
Elena has shipped AI features to two million users and has the support tickets to prove it. She is interested in the gap between demo behaviour and daily behaviour.
Sessions (1)
- What users actually do with your AI feature
Tuesday, October 13: 09:30 AM - 10:30 AM · Main Stage
Product
- What users actually do with your AI feature