About us
Join us to learn and practice AI, Gen AI, LLMs, Agentic AI, Machine Learning, Deep Learning, MLOps, Data engineering and Data technology together with like-minded developers.
Our goal is to congregate with AI enthusiasts from all over New York area to learn and practice AI tech, through tech talks, workshops, code labs etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, GenAI, LLMs, Agents, ML, MLOps, Data.
If you’d like to speak at our meetups, co-host your events, or inquire about partnership opportunities, please feel free to reach out to us.
https://www.aicamp.ai
Upcoming events
2

Enterprise AI Meetup with Snowflake
307 West 38th Street, 14th Floor, Studio 1401, New York, NY 10018, Manhattan, NY, USImportant Note: Register on the event website is required for admission.
(RSVP on meetup is turned off)Welcome to the enterprise AI meetup in New York City. Join us for deep dive tech talks on AI, GenAI, LLMs and Agent, hands-on experiences on code labs, workshops, and networking with speakers and fellow developers.
Agenda:
* 5:30pm~6:00pm: Checkin, Food and networking
* 6:00pm~6:10pm: Welcome/community update
* 6:10pm~8:30pm: Tech talks
* 8:30pm: Q&A, Open discussionTech Talk: Best Practices when designing and deploying Snowflake Semantic Views
Speaker: Stephane Burwash, Solution Architect at Infostrux
Abstract: It's fun to build things. It's fun to showcase shiny new features, and test out new capabilities. But what happens when you need to audit? Or revert? Or god forbid, track the impact of a change on downstream performance?
With agents being the shiny new toy on the block, we seem to have reverted back to the days where we pushed directly to prod.
We'll be providing a bit of order to this chaos by showcasing a framework to integrate Context as part of your SDLC (Software Delivery Life Cycle), allowing to iterate on changes to your agents in a controlled, auditable and secure manner. Topics we'll be touching upon:
- What is the distinction between context and semantics?
- How can I ensure that my context is linked to my semantics?
- How can I evaluate the impact of the update of my context on downstream performance of agents?Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit TopicsSponsors:
We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 25,000+ AI developers in New York or 500K+ worldwide.14 attendees
AI Deep Dive Webinar - Taking LangGraph to production
·OnlineOnlineImportant: Register on the event website to receive the joining link. (rsvp on meetup will NOT receive anything).
This is virtual event for our AI global community, please double-check your local time. Can't make it live? Register anyway to receive the webinar recording.
Join Diagrid to learn taking LangGraph to production
Tech Talk: Taking LangGraph to production
Speaker: Mark Fussell, Co-founder & CEO, Diagrid | Co-creator of Dapr. and Yaron Schneider, Co-founder & CTO, Diagrid | Co-creator of Dapr
Abstract: In this session, Dapr co-creators Mark Fussell and Yaron Schneider draw the line between checkpointing and durable execution, show exactly where LangGraph's persistence stops, and kill a live LangGraph agent mid-run to show Diagrid Catalyst bring it back without any re-architecture or custom recovery code.
You'll walk away knowing:- How to make LangGraph agents failure-proof, even in the face of complete outages
- How to keep a complete, tamper-proof system of record that proves what your agents did
- How to secure LangGraph deployments in any environment and specifically on Kubernetes
Who should attend
Engineers and architects running or planning to run LangGraph agents, platform teams responsible for agent reliability, and engineering leaders deciding how much of the reliability stack to build themselves.Venue:
Virtual, join from anywhereMore virtual sessions:
14 attendees
Past events
478


