Observability for AI: Key Insights from KBQuest at Splunk Go Hong Kong 2026
Updated: Jul 30
Key Higlights:
Event: Splunk Go Hong Kong at Ocean Park Marriott, April 1, 2026
Attendees: 300+ IT leaders and security professionals
KBQuest Focus:
AI observability beyond surface monitoring
SecOps and ITOps readiness for AI systems
AgentOps lifecycle for governance and optimization
At Splunk Go Hong Kong 2026, KBQuest highlighted why Observability for AI is essential for enterprise resilience. CEO Eric Moy’s session detailed a multi-layer observability approach and AgentOps lifecycle metrics, helping organizations operationalize AI safely at scale.
Why is Observability critical in the AI era?
As AI adoption accelerates, resilience cannot remain reactive — it must be architected into operations. Observability is the foundation that ensures safe, measurable and governable AI performance in production environments.
What was KBQuest’s contribution at Splunk Go Hong Kong 2026?
KBQuest participated as a proud sponsor, engaging with leaders across industries to exchange perspectives on secure and operationally sustainable AI. Conversations centered on observability, SecOps/ITOps readiness, and metrics-driven governance as organizations deploy AI at scale.
What insights did CEO Eric Moy share on Observability for AI?
In his breakout session, Eric Moy explained that AI observability is multi-layer — not just about monitoring chatbot UIs. It spans:
Infrastructure (GPUs/TPUs, network, storage)
AI platforms and models
Enterprise governance layers
End-user AI-driven applications
He introduced the AgentOps lifecycle: Evaluation → Observability → Optimization, supported by real-world metrics such as:
Operational Metrics: End-to-end trace duration, agent-to-agent latency, cost per request
Evaluation Signals: Task completion rate, guardrail violation rate, factual accuracy rate
What is the enterprise takeaway?
Observability enables transparency and trust for AI-driven systems. By integrating observability with AgentOps, enterprises can proactively manage performance, compliance, and cost while enabling continuous improvement. As Eric emphasized: Resilience is not reactive — it’s an operating model powered by metrics and insight.
KBQuest: Building AI Resilience Through Governance and Observability
With 25+ years of enterprise technology expertise, KBQuest leads the way in operationalizing AI safely. From multi-layer observability to AI governance and AgentOps frameworks, KBQuest ensures enterprises achieve secure, measurable business outcomes — not experimentation without control.
Get in touch if you’re deploying AI assistants or agentic workflows and need production‑grade visibility and governance.
FAQ
What does Observability for AI mean?
Observability for AI refers to comprehensive monitoring across infrastructure, models, governance, and applications, enabling transparency and proactive optimization of AI systems.
Why is AI observability important for enterprises?
AI systems operate across complex layers. Observability ensures performance, compliance, and resilience by tracking technical and governance metrics end-to-end.
What is the AgentOps lifecycle introduced by KBQuest?
It’s a control model with stages: Evaluation, Observability, Optimization — designed to ensure safe, governed, and efficient AI agent workflows.
How does KBQuest help enterprises with AI observability?
KBQuest provides AI governance and AgentOps frameworks, integrating observability platforms to help businesses operationalize AI with confidence and accountability.
About KBQuest
KBQuest is a leading global AI solutions provider, helping enterprises transform AI innovation into measurable business outcomes through Generative AI, Agentic AI, Automation, Analytics, Cloud and Cybersecurity solutions.
With over 25 years of enterprise technology experience and a strong ecosystem of global technology and industry partners, KBQuest supports organizations across the full AI journey—from strategy and governance to implementation, adoption and managed services.
We guide businesses to outperform the competition.
