

Building AI Applications at Scale (Toronto)
AI demos are everywhere.
But how do companies actually build AI products that work reliably with live data, low latency, and thousands of users?
Join engineers as they share the architectures behind production AI systems - from streaming data and event-driven architectures to real-time databases, RAG pipelines, observability, and open-source infrastructure.
No hype. Just practical engineering stories, lessons learned, and opportunities to meet others building modern data systems.
Food and drinks included 🍻
Agenda
6 pm - Networking
6:15 - 8:00 pm - Talks
8:00 - 9:00 pm - Networking
Speakers
Robert Hodges, CEO @ Altinity
Aishlee Kailey, Product Manager @ Grafana Labs
TBD
Description of the talks
🎤 Trusting & Scaling your AI Applications
Speaker: Aishlee Kailey, Product Manager @ Grafana Labs
Abstract: Scaling Grafana Assistant from prototype to production meant we had to trust what our agent was doing. This talk shows how Grafana's Agent Observability (tracing, evaluations, and cost and quality monitoring) helped us debug, measure, and scale it, and how you can do the same.
Other talks coming soon
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