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COMING UP

Deep Tech Week 2026
(Mar 30 - Apr 03)

NYC Space Week 2026
(Apr 21 - Apr 25)

NY Fintech Week 2026
(Apr 27 - May 01)
 
 
 
 
 
 
 
 
 
 
 
 
 
Gary Event 
With Pier Ippolito (GenAI, Google), Richmond Alake (Dir. AI Dev Experience, Oracle), Dean Sacoransky (Head of Forward Deployed Engg, Tavily), George Pearse (Head of Platform Engg, Visia).
Venue, To Be Announced
Apr 08 (Wed) , 2026 @ 05:30 PM
FREE
 
Register
 
 

 
DETAILS

AI agents can look great in a demo, then fall apart the moment memory, retrieval, & real-world complexity matter.

This meetup is about what it actually takes to build agent systems that can remember the right things, retrieve the right context, & behave more reliably in production.

We'll hear from speakers at Google, Tavily, & Oracle, each sharing practical lessons from building real AI systems, followed by audience Q&A & time to meet others working in the space.

This is a relaxed, down-to-earth local chapter meetup designed for learning, good conversations, & connecting with other engineers & builders in NYC.

TOPICS WE'LL EXPLORE

Some of the themes across the evening will include:

Agent memory & long-term context

Retrieval & knowledge systems

Databases & infrastructure for AI agents

Building agent systems that are more reliable in production

The difference between demo-quality agents & production-ready systems

AGENDA
5:00 - 6:15 PM | Doors Open - Arrival & Networking
Check-in, food, drinks, & informal networking
6:15 - 6:30 PM | Welcome & Kickoff
Opening remarks from MLOps Community & Oracle
6:30 - 7:00 PM | Richmond Alake, Oracle
Memory Engineering & the Rise of Memory-Aware Agents
7:00 - 7:30 PM | Dean Sacoransky, Tavily
Context Management in Research Agents
7:30 - 8:00 PM | George Pearse, Visia
Efficient Context Management for Computer Vision
8:00 - 8:30 PM | Pier Paolo Ippolito, Google
Moving from Prompt to Production: A Standardized Lifecycle for AI Agents
8:30 - 9:30 PM | Open Q&A + Networking
Audience questions, discussion, drinks, & networking

WHO SHOULD ATTEND
Engineers, ML practitioners, & technical builders interested in AI agents, retrieval systems, memory architectures, & real-world LLM infrastructure.
 
 
 
 
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