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
Featured event
AI Workshop with Microsoft and Neo4j
Important: 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
Upcoming events
2
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
4 attendees
Google Agentic AI Builder Lab
TAG - The Aspen Group, 800 W Fulton Market, Chicago, IL 60607, USA, Chicago, IL, USImportant: Register on the event website is required for admission. RSVP on meetup is turned off.
Building Next Gen Autonomous Agentic Systems with Google - Chicago
Join Google and AICamp for an intensive, 90-minute in-person build lab where theory translates directly into functional software. Most AI tutorials stop at simple single-turn prompts, but scalable systems require autonomous agents that reason over live data, manage persistent context, and execute complex multi-step tasks. In this hands-on workshop, you will step beyond conversational interfaces to architect, configure, and deploy next-generation autonomous agentic systems using Google Cloud.
Bring your laptop! This is an active engineering session with zero local setup required. You will leave with a fully functioning system running in your cloud environment.
What We'll Do:
- Autonomous Task Orchestration: Configure multi-step agent workflows that plan, reason, and act across complex task flows.
- State & Tool Integration: Connect agent architectures to cloud tools, execution environments, and live datasets.
- Resilient System Design: Implement robust patterns built to manage complex runtime inputs, long-running processes, and error recovery.
Agenda:
- 5:00pm~5:30pm: Checkin, food and networking
- 5:30pm~7:30pm: Hands-on workshop/Code labs
- 7:30pm~8:00pm: Build your own projects
- 8:00pm~8:30pm: Demo, Open discussion and MixerHands-on Workshop: Building Resilient Asynchronous Agents
Moving beyond conversational chatbots requires systems that do more than predict the next token. Real-world autonomous architectures must plan multi-step operations, interface with external tools, maintain state across asynchronous operations, and recover cleanly from runtime failures.
In this intensive 90-minute, in-person masterclass hosted by Google and AICamp, you will move directly into active engineering. Working entirely inside Google Cloud Shell, you will build and deploy a next-generation autonomous agentic system from the ground up—wiring dynamic tool calling, state management, and resilient multi-step orchestration into a cohesive, runnable architecture.
No slides, no abstract theory, and zero local setup required. Bring your laptop, build alongside Google engineers, and leave with a fully functional autonomous system running live in the cloud.Sponsors:
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 10,000+ AI developers in Chicago and 500K+ worldwide.5 attendees
Past events
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