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Join us for a deep dive into building high-throughput, real-world AI applications.
Most AI projects stall in the "lab" phase. This meetup is designed to bridge that gap. We’ve brought together four experts across AI systems, agentic workflows, and vision engineering to share exactly how they scale applications for global enterprises. Whether you are an enthusiast, developer, a technical founder, or an AI consultant, this session will provide the architectural blueprints and practical tips you need to deploy at scale.

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### ### Discussion & Insights

Our speakers will cover the full stack of AI implementation:

  • The Big Picture: AI future trends and the current state of enterprise workflows.
  • Career & Growth: A roadmap for upskilling in a rapidly shifting AI landscape.
  • Engineering Deep Dives: Infrastructure for scalable solutions and native AI vision applications.
  • The Toolkit: Pro-tips for leveraging Claude, Perplexity, and agentic workflows to automate complex tasks.

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### ### Agenda Summary

| | Segment | Description |
| --- | ------- | ----------- |
| | Welcome & Networking | Doors open. Coffee, networking, and community intros. |
| | Expert Lightning Talks | Rapid-fire insights from our four speakers on infrastructure, agents, and vision. |
| | Panel: The Reality of Scaling | A moderated discussion on the friction points of moving AI into production. |
| | Live Q&A & Use Case Breakdown | Practical AI use cases explored through audience-led questions. |
| | Closing & Mix | Final wrap-up and more time to connect with fellow builders. |

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### ### Talking Points for Speakers

  • Allan Ambe (AI Systems): Focus on the "Consultant’s View"—how to align technical AI capabilities with actual business ROI and enterprise-grade reliability.
  • Ansh Mehra (Agentic Workflows): Break down "Key Agentic AI workflows"—moving beyond simple prompts to autonomous, multi-step AI agents.
  • Ben Korcsog (Systems Engineering): Focus on "Building for Throughput"—the infrastructure required to handle high-volume AI requests without breaking.
  • Valentine (Vision Engineer): Deep dive into "Native AI Applications"— how vision-based AI is being integrated directly into hardware or specialized software environments.

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> Ready to build?
> Date: 2 May
> Time: 10 AM – 1 PM
> Location: dcamp (See meetup link for floor details)
> **Join Kakao Group RSVP: https://invite.kakao.com/tc/vpy8vNdcyD**

Venue Support by Dcamp

관련 주제

AI and Society
AI/ML
Artificial Intelligence Machine Learning Robotics
Technology
AI Ethics

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