MLOps Community - End-to-End AI Stack - From Data to Agents in Production

Join us for an exciting Demo Night where we showcase not just a single AI tool, but the entire system in action! 🚀 Experience the seamless integration from external data ingestion to real-world execution. Here's what you can expect to learn:

• Blueprint for an AI Stack: Discover the essential components of a production-ready AI framework, including connectivity and common sticking points.
• Grounding Agents: Learn how to base agents on fresh, reliable data and understand why minor scraping setups may falter under pressure.
• Turning Data into Action: Transform raw data into effective decisions through multi-step workflows, automations, and tool usage.
• Comparing Approaches: Evaluate methods under real-world constraints such as speed, quality, and reliability.

Key Problems Addressed:

• "My agent is smart but wrong" → Build workflows anchored in real-time, structured inputs.
• "Works in a demo but fails in production" → Design for reliability and throughput.
• "Can't iterate quickly enough" → Streamline your build/debug loop for agent workflows.
• "Outputs don't drive outcomes" → Link reasoning to actionable tools and APIs.

Real Use Cases We'll Cover:

• Competitive Intelligence: Monitor competitors, extract structured data changes (price, availability), and automate alerts to channels like Slack/Jira.
• Lead Research: Enhance company and person insights, generate outreach briefs, and sync with your CRM.
• Risk Monitoring: Track online mentions/reviews, classify severity, and route issues effectively.

Expect fast-paced demos, practical insights, and ample networking opportunities with builders implementing AI in production! 🌐

Plus, just for fun, experience the mini BattleBot Arena at the venue! 🤖

📍 Location: 625 2nd St
Get your tickets here! 🎟️