Name: AI Agents to Smart Videos: Real-World GenAI Apps
Start: 2025-09-24T18:30:00+08:00
End: 2025-09-24T21:00:00+08:00
Location: Red Hat @CapitaSpring

**Register here (subject to approval):** [https://links.zenika.com/link/GenAIapps](https://links.zenika.com/link/GenAIapps)

This is an in-person event. You will be emailed the QR code for entry to **Red Hat CapitaSpring** closer to the date of the event.

**ABOUT**
*This is a **2-part programme** showcasing how generative AI is applied in production and real world use cases — from agent-based solutions to vision-language models for video search.*

## ***Session 1: AI Agents in Production – Key Lessons for 2025***

**Speaker:** **[Adam Goh](https://www.linkedin.com/in/adam-goh/), Senior MLOps Engineer**
Adam is an ML Engineer with expertise in computer vision algorithms, end-to-end backend development from CI/CD, app deployment, and deployment of genAI applications with Azure OpenAI.

**Duration:** 45 minutes
**Description:** Discover real-world “wartime stories” of deploying AI agents into production. Learn what to watch out for — from AIOps support to public-facing solutions. This session covers practical lessons, common pitfalls, and success strategies to help you ship generative AI solutions that are both reliable and scalable.

## ***Session 2: AI-Assisted Video Surveillance – Leveraging Vision-Language Models for Natural Language Search***

**Speaker:** **[Edwin Ng](https://www.linkedin.com/in/nzedwin/),** Senior AI Consultant
Edwin holds an Engineering PhD on the topic of AI and is also a TOGAF Certified Enterprise Architect and Professional Scrum Product Owner II. He is a seasoned AI, Cloud, and Digital Transformation leader with 20+ years of experience in tech lead, CTO and CIO roles spanning startups, government, and global enterprises. With deep expertise across AI engineering and cloud product development, Edwin blends technical depth with strategic leadership. Currently a Senior Consultant at Zenika, he advises enterprises on AI adoption, cloud transformation, and agile delivery.

**Duration:** 50 minutes
**Description:** Imagine being able to “Google search” your video archives. This session demonstrates how to leverage advanced Vision-Language Models to transform video footage into a searchable asset. See how natural language queries can quickly locate people, actions, or events, and learn how this technology is reshaping surveillance and video data interaction.

🎯 **Who Should Attend:**

* Developers and Engineers curious about GenAI
* Tech leads exploring LLM integration
* Backend engineers wanting to stay ahead of the AI curve
* Good to have:
* Basic Python knowledge
* Familiarity with LangChain
* Prior experience using AI chat systems (e.g., ChatGPT, Gemini)

📍 **Venue:**
This meetup is brought to you by Red Hat and Zenika at the formers, CapitaSpring office, Level 46.

Sign up with your email ID here to receive your custom QR code.
**NOTE: Successful Registration is subject to approval. Sign up here:**
**[https://links.zenika.com/link/GenAIapps](https://links.zenika.com/link/GenAIapps)**

**EVENT SCHEDULE:**
**6:30 PM** – Registration
**6:45 PM** – Adam Goh: AI Agents in Production
**7:35 PM** – Edwin Ng: AI-Assisted Video Surveillance
**8:25 PM** – Networking

***TERMS & CONDITIONS***

* Zenika Singapore reserves the right to amend these Terms and Conditions at any time.
* Although very unlikely, please note that Zenika Singapore reserves the right to cancel or re-schedule the event if necessary. However, in case of a cancellation, Zenika Singapore will inform all attendees one day in advance and will endeavour to provide an alternative date.
* Please note that photographs and/or videos will be taken at this event for marketing, publicity and archival purpose. Should you have any concerns with your image being captured or used, please approach one of our staff members.
* Zenika Singapore owns the sole copyright of all content.
* You will be added to our mailing list upon registration of this event and will receive venue QR codes, and upcoming event details.

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AI Agents to Smart Videos: Real-World GenAI Apps

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