​Date & Time

​📅 Tuesday, September 15, 2026

​🕘 9:00 AM – 5:00 PM HKT

​📍 AWS Hong Kong Office, Level 20, Tower 535, 535 Jaffe Rd, Causeway Bay

​Registration

​⚠️ Limited Seats: Please fill in your real information to pass the review.

​Workshop seats are strictly limited to 50. Register early. Executive Roundtable is by invitation; confirmed participants will be notified via email.

​About the Event

​AI is reshaping every corner of operations. From intelligent agents to real-time observability, from cloud-native architecture to graph-powered risk intelligence — AWS AI OPS DAY 2026 Hong Kong brings together AWS technical experts and leading industry partners for a full day of deep-dive sessions and hands-on exchange.

​Two Session

​🔧 Workshop — Open to All
Full day, 9 am to 5 pm. For engineers, architects, and tech leads. Live AWS sessions and partner showcase. Register freely; seats limited to 50.

​🎯 Executive Roundtable — By Invitation
1-hour session, runs alongside the workshop. For CXOs and senior technology leaders. Closed-door exchange with AWS CloudOps Worldwide Leaders. Sign-up required, very limited seats. After sign-up, we will email your confirmed 1-hour time slot.

​Full Agenda

​AWS SESSIONS

​8:30 AM – 9:00 AM
Registration & Coffee

​9:00 AM – 9:15 AM
Opening — AWS

​9:15 AM – 9:45 AM
DevOps Agent — Yagr Xu

​9:45 AM – 10:15 AM
AI Ops for AI Agents — PJ Ng

​10:15 AM – 10:45 AM
AI Ops Data Architecture / Omni — Charlie Chiu

​10:45 AM – 11:15 AM
CloudWatch New Releases — Siddhesh Kumbhare

​PARTNER SHOWCASE

​11:30 AM – 12:30 PM
Lunch & Partner Showcase Networking

​12:30 PM – 1:30 PM
AI Ops and AgentOps for Production Teams — Jimmy Soh, TrueWatch

​1:30 PM – 2:30 PM 🔗
Real Time Risk Intelligence with Graph — Han Guo, NebulaGraph

​2:30 PM – 3:30 PM
Agent Observability and Evals at Scale — Xiao Kang, Apache Doris

​3:30 PM – 4:30 PM
Full Stack Observability from Logs to LLMs — Sishuo Yang, ClickHouse

​What You'll Learn

• ​🚀 AWS Latest Releases: DevOps Agent, AI Ops for AI Agents, and new CloudWatch capabilities

• ​🏗️ AI Ops Data Architecture: Designing data

• ​🔗 Graph-Powered Risk Intelligence: Real-time fraud detection, relationship mapping, and risk analytics using graph databases

​Who Should Attend

• ​Backend engineers, system architects, and SREs

• ​Data platform and infrastructure team leads

• ​Practitioners exploring AI Agents, observability, and graph databases

• ​Teams building real-time risk, fraud detection, or knowledge graph solutions