About this event
Discover practical production AI with Singapore's Data & AI Engineering Meetup on 5 March 2026, featuring Jun Xu and real-world data engineering lessons. This in-person meetup aims to demystify deploying AI systems in production, sharing actionable insights from data pipelines, model integration, and system reliability. Join fellow data engineers, ML engineers, and software developers for a focused evening that connects theory to practice and sparks useful conversations about building robust data-driven products.
What to expect:
- A practitioner-focused talk on deploying AI in production, addressing common challenges and architectural patterns
- Real-world case studies and lessons learned from end-to-end data and AI pipelines
- Discussion on observability, monitoring, governance, and reliability for AI systems
- A Q&A session to dive deeper into attendees’ production challenges
- Networking with peers to share approaches, tools, and ideas for collaboration
Speaker: Jun Xu will share insights from hands-on experience with production AI, highlighting practical strategies, trade-offs, and best practices for turning research into reliable software. The talk will be complemented by opportunities to ask questions and explore real-world scenarios relevant to Singapore-based teams and international peers visiting the city.
Audience: This event is geared toward data engineers, ML engineers, software engineers, and technical leads who want to understand what it takes to run AI in production, from data ingestion to deployment and monitoring.
Format: An informative talk followed by Q&A and networking. Registration is via Meetup; attendees should check the Meetup page for venue details and any access instructions.
Registration/venue details: https://www.meetup.com/singapore-data-ai-engineering-meetup
