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 Workshop with Microsoft and Neo4j
MICROSOFT-MIDWEST DISTRICT, 200 E Randolph St Ste 200, Chicago, IL, USImportant: Register on the Event Website is required for admission.
RSVP on meetup is turned off.Description:
Join Neo4j and Microsoft for an hands-on workshop where you’ll learn how to build AI agents powered by knowledge graphs. Limited to 50 qualified builders.In this session, we will build a functional GraphRAG pipeline within a live Azure environment. Moving beyond high-level theory, you will deploy Neo4j Aura and integrate it with Microsoft Foundry to implement a complete, end-to-end architecture for reasoning over connected data.
What You Will Learn:
We’ll use SEC EDGAR filings—specifically the quarterly holdings of asset managers with $100M+ in assets under management (AUM)—as our primary dataset. This data is ideal for demonstrating how to map complex ownership structures and many-to-many relationships.
✅ Build AI agents that leverage knowledge graphs
✅ Automate Ingestion: Use AI to parse and load data from Azure Blob Storage into Neo4j.
✅ Model Relationships: Use Cypher and the Neo4j Browser to map connections between thousands of portfolios and their institutional holdings.
✅ Orchestrate Agents: Layer a Microsoft Foundry AI agent over the graph to enable natural language reasoning across the connected financial data.Who should attend:
Developers, Builders, Data engineers, Data scientists, and Tech leaders.Speakers:
- Ben Lackey, Solution Architect, Neo4j
- Kevin Gates, Principal Partner Solution Architect, Microsoft
- Mike Shelton, Principal Partner Solution Architect, Microsoft
- Lauren Hartman, Partner Solution Architect, Microsoft
Agenda
- 1:30PM Check-In
- 2:00PM: AI Hands-On Workshop with Neo4j and Google Gemini
- 3:00PM: Break
- 3:30PM: Presentation: Moving Data
- 4:30PM: Presentation: Gemini Enterprise, Neo4j, and AI
- 5:00PM: Networking & Refreshments
2 attendees
Past events
193
