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NYC Tech
Events Weekly
Newsletter! |
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MLOps Days - AI/ML Mega Meetup
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| With Ciro Greco (Founder/CEO, Bauplan), Yuval Fernbach (CTO MLOps, JFrog), Liron Saadon (Head of Dev Rel, NVIDIA), Ari Kaplan (Head of Evangelism, Databricks). |
| Venue, 45 Rockefeller Plaza, 27th Fl, New York
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Mar 04 (Tue) , 2025 @ 04:00 PM
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FREE |
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/-73.9781189,40.75931931,13,0,0/550x200?access_token=pk.eyJ1IjoiZ2FyeXNndWlkZSIsImEiOiJjamtobmRiYmgwb3gwM3F1a2o2Mmd0YWw3In0.DinA62CR3-OKtf3axa5O7Q)
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| DETAILS |
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Agenda
4:00 PM - 4:15 PM
Arrival & Sign in
4:15 PM - 4:50 PM
AIOps at Reasonable Scale
Ciro Greco, Founder & CEO @ Bauplan
Talk#1
4:50 PM - 5:30 PM
Protecting ML Systems in the GenAI Era
Yuval Fernbach, VP, CTO MLOps @ JFrog
Talk#2
5:30 PM - 6:00 PM
Integrating Tech to Unlock Generative AI
Liron Freind Saadon, Head of Dev Rel @ NVIDIA
Talk #3
6:00 PM - 6:45 PM
Human-in-the-loop feedback, agentic systems
Ari Kaplan, Head of Evangelism, @ Databricks
Talk 4
6:45 PM - 7:30 PM
Networking/Happy Hour
Join us in the heart of New York City for a free ML/AI mega-meetup featuring an incredible lineup of ML experts, data scientists, & DevOps professionals.
Dive into scaling AI in production, optimizing ML workflows, & more in data science. This is a great opportunity to mingle with the best tech minds NYC has to offer over some good food. Register here & save your spot
Featuring:
AIOps at Reasonable Scale by Ciro Greco, Founder & CEO @ Bauplan
This session explores the unique security challenges of ML systems in the GenAI era & provides actionable strategies to safeguard them. Learn why traditional approaches fall short & how to fortify your ML lifecycle to stay ahead in an evolving threat landscape.
We have pioneered the concept of ML for the 99% with the ML at reasonable scale series, & recently discussed what changed with the new AI wave (spoiler: not much, the fundamentals stay!). In the talk, we review the basics of ML in production & stress what changed & what didn't in the era of LLMs.
Protecting ML Systems in the GenAI Era by Yuval Fernbach, VP, CTO MLOps @ JFrog
Generative AI & machine learning systems are reshaping industries but also introducing new security risks. The reliance on vast data, rapid deployment cycles, & automated pipelines in MLOps has expanded the attack surface, exposing vulnerabilities to data poisoning, adversarial inputs, & pipeline exploitation.
This session explores the unique security challenges of ML systems in the GenAI era & provides actionable strategies to safeguard them. Learn why traditional approaches fall short & how to fortify your ML lifecycle to stay ahead in an evolving threat landscape.
Integrating Tech to Unlock Generative AI by Liron Freind Saadon, Head of Dev Rel @ NVIDIA
An Ideal MLOps platform in the Generative Al era is a comprehensive solution that supports the entire machine learning lifecycle, from data preparation & model development to model deployment & monitoring. It should provide seamless integration of tools & technologies that enable organizations to build, deploy, & manage machine learning models with ease. In this talk, we'll review some of the tools & solutions that exist to build, deploy, & scale GenAl workloads across different environments successfully.
Human-in-the-loop feedback, agentic systems by Ari Kaplan, Head of Evangelism, Databricks
Discover how incorporating continuous human guidance ensures ethical, accurate, & context-aware outputs, while autonomous agentic systems push the boundaries of Al, enabling proactive decision-making & complex problem-solving.
Networking/Happy Hour
Register here & save your spot
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