MLconf NYC 2024 Conference Agenda
7:00-8:30AM
Registration & Light Breakfast
8:25-8:30AM
Welcome & Announcements
8:30-9:00AM
Dr. Sarang Aravamuthan: Extracting Features from Textual Data in Class Imbalance Problems
9:00-9:30AM
Scott Zoldi: The Three Keystones of Responsible AI – Explainability, Ethics, and Auditability
9:30-10:00AM
Vin Sharma: Where Matters: Machine Learning on Geospatial Data
10:00-10:30AM
Networking Break
10:30-11:00AM
Amey Porobo Dharwadker: Navigating the Landscape of Bias in Recommender Systems
11:00-11:30AM
Matar Haller: AI for Good – Detecting Harmful Content at Scale
11:30-12:00PM
Guillermo Etchebarne: Deep Learning for CTR Prediction in Personalized Marketing Campaigns
12:00-12:30PM
Aleksandr Sidorov: ML Infrastructure for Autonomous Vehicles @ Cruise
12:30-1:30PM
Lunch & Networking & EXPO
1:30-2:00PM
Karthik Anantha Padmanabhan: The Infrastructure that Powers ML Training at Pinterest
2:00-2:30PM
Dr. Christy Persya Appadurai: ML Models Drive Actions to Accelerate Customer Centric Transformation
2:30-3:00PM
Anu Srivastava, Dave Elliott: What’s new with generative AI on Google Cloud
3:00-3:30PM
Networking Break
3:30-4:00PM
Julien Simon: Hyperproductive Machine Learning with Transformers and Hugging Face
4:00-4:30PM
Hakan Baba, Mihir Mathur: Powering Millions of Real-time Decisions with Distributed Model Serving
4:30PM
Richard Rivera: Private: Closing Comments + THANK YOU!
4:45-5:45PM
Cocktail Reception - Penthouse Lounge