Overview
Moving AI from prototype to production requires engineering teams to solve challenges far beyond the core model itself, from cross-disciplinary readiness to complex tool interactions and continuous system reliability.
In this session, hear from practitioners as they share frameworks to bridge the prototype-to-production gap, deterministic agent guardrails using neuro-symbolic logic, and system-wide agent observability for graceful degradation.
Learn more at STACK Meetup [AI] on how engineering teams tackle these operational bottlenecks in production.
Who should attend
Ideal for AI/ML engineers, MLOps practitioners, platform architects, and technical leads navigating the realities of scaling AI.

Event details
Timing displayed in agenda is based on Singapore Timezone (GMT +8)