Building AI Agents with Real-Time and Trusted Data

About the Event

AI agents thrive on reliable and timely data. To function effectively in production, they require operational context, trustworthy data transformations, and robust cloud infrastructure.

Join us in Taipei for an insightful evening centered on how real-time data systems enhance production-grade agent applications. We will delve into the entire data pipeline for agents: how context is prepared, tested, documented, refreshed, governed, and delivered to applications.

Co-hosted by RisingWave and AWS, this meetup aims to gather AI builders, data engineers, analytics engineers, architects, and data leaders. The evening will feature:

• An AWS session focusing on building agent applications with trusted, enterprise data.
• A case study from SHOPLINE showcasing its RisingWave-powered real-time analytics architecture.
• A proposed community session on constructing AI-ready data pipelines.

Who Should Attend:

• AI and ML engineers creating agent applications
• Data engineers and analytics engineers
• Data platform and infrastructure engineers
• Data architects and cloud architects
• Engineering managers and data or AI leaders

Prizes:
Five attendees will win a Claude subscription, sent via email after the event.

Agenda

• 6:30 PM – 7:00 PM | Registration, Refreshments & Networking
  Check-in, enjoy light food and drinks, and connect with local AI and data professionals, speakers, and partners.

• 7:00 PM – 7:15 PM | Welcome & Opening
  Irving Hsu, Senior Partner Solution Architect at AWS
  Opening remarks introducing the need for fresh and trusted data for AI agents.

• 7:15 PM – 7:40 PM | Talk 1 — AWS
  9 Tips to Optimize Agents in AgentCore
  Ray Wang, Senior Solutions Architect at AWS
  Discusses how to build production-ready AI agents using enterprise data, covering architecture, context, tools, security, governance, and deployment.

• 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
  Shares insights on how SHOPLINE employs RisingWave for real-time analytics, consolidating batch and streaming logic for improved data-serving performance.

• 8:05 PM – 8:30 PM | Talk 3 — TBD
  An additional exciting session focused on the data and AI stack.

• 8:30 PM – 9:00 PM | Closing & Networking
  Wrap up with key takeaways, followed by more networking opportunities to connect with speakers and fellow attendees.

We are excited to welcome you for an engaging evening filled with learning and technical discussions in Taipei's AI and data community.