​Je Join us on Sept 29th for our first AI Show & Tell in New York! We'll have several fantastic talks, snacks & drinks, in a beautiful venue. Can't wait to see you there!

​​This event is part of the Global AI Community New York chapter https://globalai.community/chapters/new-york/

​​Agenda

• ​​6 PM: Doors open

• ​​6 - 6:30 PM: Networking, light bites and refreshments

• ​6:30 - 8:10 PM: Program

  • ​5 min: Intro by your host Cedric Vidal, Principal AI Advicate @ Microsoft

  • ​20 min: Roee Mayerowicz, R&D Engineer @ Nimbleway AI on Browser Agents

  • ​20 min: Ethan Ding, Co-Founder @ TextQL on Analytics Agents

  • ​20 min: Jarrod Barnes, Co-Founder @ Arc on improving AI Agents with Continual Learning

  • ​35 min: Panel + Q&A moderated by Cassidy Fein, Product @ Microsoft

• ​​8:10 - 9 PM: Networking part II

• ​9 PM: Event concludes

​🎟 Space is limited and entry is strictly first come, first served—arriving early gives you the best chance of getting in. There will be no entry once event reaches capacity. Thank you for understanding.

​​​AI Show & Tell is a global series designed to bring together enthusiasts, professionals, and experts in the field of AI. Each event features engaging presentations, interactive demos, and networking opportunities, providing a place for attendees to learn about the latest advancements in AI technology and connect with like-minded individuals.

​Talks

​Roee Mayerowicz, R&D Engineer @ Nimbleway AI

​Session title: Pizza, Agents, and the Truth: Reaching Live Data in a Multi-Agent World

Abstract: Can AI really tell you where to get the best pizza in New York City? Large language models will give you an answer, but it may be outdated, biased, or just plain wrong. In this session, Roee will walk through a fun and familiar challenge: finding the city’s best pizza slice. Along the way, you’ll see why multi-agent environments powered only by LLMs often fail, and how connecting them to live, structured web data changes the game.

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We’ll explore the approaches Nimble uses to deliver real-time, query-ready information at scale, and show how grounding agents in trusted web data unlocks far more than pizza recommendations. The same principles apply to pricing intelligence, market analysis, and any domain where AI needs to reason, and act, based on the real world.

​Bio: Roee Mayerowicz is a Senior Researcher at Nimble, where he was one of the company’s first employees and now spearheads innovation within the research team. Roee specializes in browser agents and web technologies, focusing on how browser agents can run in a reliable way at scale. His current research centers on developing more efficient methods for acquiring online data and allowing AI to control web browsers at extremely high scale. Originally from Tel Aviv, Roee recently relocated to New York.

​Jarrod Barnes, Co-Founder @ Arc

​Session Title: Real-Time Continual Learning for AI Agents

​Abstract: Arc is a continual-learning framework that helps AI agents adapt and improve from experience in real-time. We'll cover the core developer techniques for online prompt optimization to reward modeling in production and demo our open-source SRE Agent teaching itself how to resolve a complex Kubernetes incident.

​Bio: Jarrod Barnes, Co-Founder, Arc Intelligence. Prev. scaling developer ecosystems and infrastructure as GM at Protocol Labs & NEAR Protocol. Prior to that, was an Assistant Professor at NYU researching the first principles of skill acquisition and learning. Ph.D. in Learning Design from UIUC.