Dynatrace Roadshow to Spotlight AI-Powered Observability in Singapore Government

Dynatrace is bringing its global Innovate Roadshow to Singapore on July 22 at Sands Expo & Convention Centre, with a lineup of public sector speakers that underscores how deeply agentic AI and observability are being woven into the country's government IT infrastructure.

The free one-day event features sessions from the Defence Science and Technology Agency (DSTA), the Ministry of Education (MOE), Changi Airport Group, and Keppel Ltd. DSTA's Ng Boon Wee will present on a phased approach to observability, while MOE's Kenneth Yeo will discuss how observability strengthens cyber defence. Changi Airport Group's Saurabh Dutta will share how the airport uses Dynatrace to keep one of the world's busiest airport apps running reliably.

Dynatrace APJ VP and CTO Rafi Katanasho noted that agentic AI offers a path for IT operations to shift from reactive monitoring to proactive, autonomous action — a capability that is becoming increasingly critical as government digital services span complex multi-cloud environments. He also flagged a key risk: accuracy can drop by more than half when organisations chain multiple AI agents together without a robust observability foundation.

The roadshow aligns with the Singapore government's recent push to scale AI agent usage among public officers, a plan that was outlined earlier this year as part of the Smart Nation 2.0 strategy. For agencies like DSTA and MOE that manage mission-critical digital services, the ability to monitor and debug complex AI-driven systems in real time is not a nice-to-have — it is a prerequisite for safe deployment.

Why it matters for Singapore: As Singapore's public sector accelerates its adoption of agentic AI, events like this roadshow highlight a growing recognition that AI deployment at scale requires a parallel investment in observability and operations. Without the ability to monitor what AI agents are actually doing, accuracy and reliability suffer. Singapore's government is positioning itself to address this challenge head-on, and the involvement of agencies like DSTA and MOE signals that operational readiness is now a core part of AI strategy — not an afterthought.