Events / Seattle

Trustworthy AI Systems: Proven Production Strategies

Data Science Dojo hosts Google Group Product Manager Muazma Zahid in Redmond to explain why production AI systems fail — bad data, weak grounding, missing evaluation and observability — not model capability.

Fri, Aug 14, 1:00 AMData Science DOJO Office · Redmond · WA

Why it matters

Teams that skip evaluation and observability don't just ship worse agents — they burn budget on silent failures and reruns nobody is tracking down; reliability and cost are the same problem here.

The tokenmaxxing angle

The talk frames evaluation and observability as the layer deciding whether a multi-agent pipeline survives production — exactly the instrumentation gap that turns unexplained model spend into a mystery line on the API bill.

From the organizers

Speaker is Muazma Zahid, Group Product Manager at Google; session covers grounding techniques, evaluation frameworks, observability practices, and design patterns for reliable agent orchestration.