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
Past Sponsors
Platinum Sponsor
Gold Sponsors
Silver Sponsors
Bronze Sponsors
