Building AI Agents with Real-Time and Trusted Data
About the Event
AI agents are only as useful as the data and context they receive. To operate reliably in production, they need fresh operational context, trusted data transformations, and production-grade cloud infrastructure.
Join us in Taipei for an evening focused on how real-time data systems support production-grade agentic applications. The event will explore the complete data path behind agents, including how context is prepared, tested, documented, refreshed, governed, and delivered to applications.
Co-hosted by RisingWave and AWS, the meetup will bring together AI builders, data engineers, analytics engineers, architects, and data leaders. The meetup will feature an AWS session on building agentic applications with fresh and trusted enterprise data, a real customer story from SHOPLINE about its RisingWave-powered real-time analytics architecture, and a proposed community session on building AI-ready data pipelines.
This event is designed for:
AI and ML engineers building agentic applications
Data engineers and analytics engineers
Data platform and infrastructure engineers
Data architects, solution architects, and cloud architects
Engineering managers and heads of data or AI
Five attendees will win a Claude subscription, which will be sent via email after the event.
Agenda
6:30 PM – 7:00 PM | Registration, Refreshments & Networking
Check in, enjoy light food and drinks, and meet local AI and data practitioners, speakers, and partner teams.
7:00 PM – 7:15 PM | Welcome & Opening
Irving Hsu, Senior Partner Solution Architect at AWS
Welcome remarks, followed by an introduction to why AI agents need fresh, trusted, and production-ready data.
7:15 PM – 7:40 PM | Talk 1 — AWS
9 Tips to Optimize Agents in AgentCore
Ray Wang, Senior Solutions Architect at AWS
This session will explore how organizations can build production-ready AI agents using fresh and trusted enterprise data. The talk will cover agent architecture, enterprise context, tool use, security, governance, and the production considerations involved in deploying reliable agentic applications.
7:40 PM – 8:05 PM | Talk 2 — SHOPLINE
From Lambda to Streaming Database: A Pragmatic Journey of Real-Time Data
Claire Wu, Data Engineer at SHOPLINE
This customer session will share how SHOPLINE uses RisingWave to power its real-time analytics architecture. The talk will explore how the Shopline team consolidates batch and streaming logic, improves data-serving performance, and operates real-time analytics at scale.
Attendees will gain practical lessons from a production architecture designed to deliver fresh and reliable data for operational and analytical use cases.
8:05 PM – 8:30 PM | Talk 3 — Databricks
The Real-Time Memory Flywheel: Turning Data into Agent Intelligence
An-Lei Huang, Sr. Solution Engineer at Databricks
This session will introduce an agent memory processing framework and explore how real-time data can be transformed into a continuously refreshed context for AI agents.
8:30 PM – 9:00 PM | Closing & Networking
We will conclude with key takeaways, followed by continued conversations and networking. Continue the discussion with speakers and fellow attendees, exchange ideas, and build new connections within Taipei’s AI and data community.
We look forward to welcoming you for an evening of learning, technical discussion, and community as we explore how real-time and trusted data can power the next generation of AI agents.
RisingWave and AWS co-host this meetup.