SEGMENT 05 / EVAL
Evaluation / Observability FDE
Make AI quality measurable in development and production.
WHAT IS FORWARD DEPLOYED?Measurement system
REPRESENTATIVE ORGANIZATIONS
Arize AIEvaluation and observability vendors
THE WORK
What you are likely to own
- 01Trace and telemetry integration
- 02Golden datasets and eval design
- 03Custom evaluators and quality gates
- 04Production monitoring workflows
TECHNICAL EXPECTATION
The useful stack
PythonTypeScriptEval methodologyMLOpsTelemetryData analysis
CUSTOMER EXPECTATION
Proximity to the problem
High: requires explaining both implementation and why a measurement reflects business quality.
THE REAL SUCCESS METRIC
Teams can detect, explain, and prevent quality regressions using trusted measurements.
AIR PREPARATION FOCUS