Machine Learning in Production
New York

A Uniquely Interactive Experience
Why MLOps Production & Engineering?
Too few companies have effective AI leaders or an effective AI strategy.
An interactive conference is one in which you meet attendees before the event, message speakers directly, discuss specific areas of your work and establish a stronger network. We’re working to help you with a clearer understanding of best practices, methodologies, and principles of effective ML.
The micro-summit includes:
- In-person networking at Fiddlesticks Pub, Greenwich Village Sponsored by Qwak
- Virtual talks with 8 Speakers
- Virtual 3 Workshops
Join this new initiative to help push the AI community forward.
We’re Hosting

Breakout Sessions
(All Levels)

Discussion Groups

Workshops

Virtual Platform
Past Event Chair

Sonya David
Strategic Analytics Solutions Manager, JPMorgan Chase & Co.
Past Speakers

Yaron Singer
CEO & Co-Founder, Robust Intelligence
Talk: ML Integrity: The Quest to Awaken the True Force of AI

Gideon Mendels
CEO & Founder, Comet
Talk: ML System Design for Continuous Experimentation

Rafael Pierre
Solutions Architect Data Science Expert, Databricks
Talk: End-to-end MLOps MLflow and Databricks
Co-Presenter: Anastasiia Prokaieva

Anastasiia Prokaieva
Specialist Solution Engineer – Data Science and MlOps, Databricks
Talk: End-to-End MLOps MLflow and Databricks
Co-Presenter: Rafael Pierre

Alon Gubkin
Aporia, CTO
Talk: Why Cloud Native MLOps Rocks

Zoya Bylinskii
Research Scientist, Adobe Inc.
Talk: Perception & Cognition Insights for ML

Navdeep Gill
Engineering Lead, H2O.ai
Talk: Incorporating AI Governance to Increase Adoption in Business Applications
Co-Presenter: Abhishek Mathur

Abhishek Mathur
Product Lead, Responsible AI, H2O.ai
Talk: Incorporating AI Governance to Increase Adoption in Business Applications
Co-Presenter: Navdeep Gill

Sree Gowri Addepalli
Senior AI Engineer, Target
Talk: Model Monitoring: Ensure Robust Machine Learning Systems in Production
Co-Presenter: Vishal Vijay Shanker

Vishal Vijay Shanker
Lead Data Scientist, Target
Talk: Model Monitoring: Ensure Robust Machine Learning Systems in Production
Co-Presenter: Sree Gowri Addepalli

Adi Hirstein
VP Product, Iguazio
Talk: How to Build an Automated ML Pipeline with a Feature Store using Iguazio & Snowflake

Alex Kim
ML Engineer, Iterative
Talk: Best MLOps Practices for Building End-to-End Deep Learning Projects

Mark Moyou
Senior Data Scientist, NVIDIA
Talk: Leveraging GPUs for Faster XGBoost Training and Inference at Reasonable and Large Scale

Subhabrata Das
ML Engineer, JPMorgan Chase & Co.
Talk: A Hybrid Deep Learning Model for Power Outage Prediction

Dan Fu
PhD Student, Stanford University
Talk: FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Past Workshop Facilitators

Victor Sonck
Evangelist, ClearML
Workshop: The Importance of Experiment Tracking and Data Traceability

David Hershey
Senior Solutions Architect, Tecton
Workshop: Building a Movie Recommendation System on Tecton with Snowflake