About us
Enterprise AI isn't about demo day — it's about deployment day.
We're a community for practitioners building, deploying, and scaling AI inside enterprises. Not proofs-of-concept that gather dust. Not buzzwords. Not slideware. We're here to tackle the hard problems: integration, deploying, governance, monitoring, security, ROI, and the messy middle between pilot and production.
We regularly invite tech leads, engineers, data scientists, and decision-makers from enterprises to:
- Discuss with practitioners who've shipped AI in production at scale
- Share the hard-earned lessons — what broke, what worked, what they'd do differently
- Showcase real solutions to real enterprise problems
You belong here if you're:
- A developer, engineer, or data scientist building AI into enterprise systems
- A tech lead or architect designing AI infrastructure and pipelines
- A tech decision-maker evaluating, adopting, or governing AI in your organization
- Anyone who wants to move beyond the hype and learn what actually works in production
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
1
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:
12 attendees
Past events
43
