Cover Image for MLOps Miami #4: Scaling AI & ML
Cover Image for MLOps Miami #4: Scaling AI & ML
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The MLOps Community fills the need to share real-world Machine Learning Operations best practices from engineers in the field.
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Registration
Past Event
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About Event

We’re Back again!

​After the massively successful AI Agents World Tour event , we’re back for another incredible evening of AI & ML!

​Join us for an exclusive event featuring three expert speakers diving into cutting-edge topics, plus a fantastic opportunity to network with the local AI/ML community. Whether you’re a seasoned professional or just getting started, this is the perfect way to connect, learn, and be part of Miami’s growing AI scene. Snacks and beer on us!!​

​FEATURING TALKS FROM :

Facundo Santiago - Principal Product Manager - Azure AI Foundry Agents

Agents can decide if a task can be executed in one go or if it requires a plan. For cases that require a plan, the idea of modularity - the use of specialized agents narrowed down to solve specific tasks - can increase the chances of success and can deliver more deterministic outcomes. There are multiple ways to implement modularity in agentic systems. In this talk we will cover: how the idea of planning helps agents to decompose things in specific tasks, how the idea of specialized agents help to implement such modules, and which are the different strategies to compose those "modules" into a single agentic solution (also known as orchestration).


Anthony D Martin - Founder - cadenzai

Most agents today can retrieve and chain context, but they don’t reason strategically. At Cadenzai, we’ve developed Self-Organizing Memory Architecture (SOMA), a patent-pending framework that equips agents with the cognitive primitives of hindsight, insight, and foresight. This talk will unpack these primitives, why they matter for MLOps, and how they enable more intelligent, interpretable, and human-like behavior. I’ll also share experiments with cellular automata — a connected line of research into emergent self-organization in learning systems. Together, these perspectives show how principles of self-organization can drive the next generation of adaptive AI.


James Urquhart - Field CTO and Developer Evangelist - KamiwazaAI

Flow in the Age of AI

Abstract: Use cases for sharing near real-time data across organization boundaries are increasingly important to the digital transformation of our economy—a trend described by Urquhart in his book Flow Architectures: The Future of Streaming and Event-Driven Integration (O'Reilly, 2021). However, AI (and in particular, the Model Context Protocol) has completely turned this problem on its head. Learn how MCP (and A2A), AI orchestration, and the architectures of agentic systems are creating new opportunities—and new needs—that may just change the way businesses share data forever.


​Don’t miss out—Register now! 🎉

Location
The LAB Miami
2750 NW 3rd Ave #24, Miami, FL 33127, USA
Avatar for Miami MLOps Community
The MLOps Community fills the need to share real-world Machine Learning Operations best practices from engineers in the field.
144 Went