MLconf NYC 2024 Conference Agenda
8:30AM-12:30PM
AI/ML Ops Agenda
8:30-8:40
Welcome & Announcements
8:40-9:00
Mary Grace Moesta: Ensuring Reproducibility, Efficiency, and Governance in Machine Learning Solutions
9:05-9:25
Gaurav Menghani: Efficient Deep Learning
9:30-9:50
Patrick Hall: What To Do When AI Fails? AI Incident Response
9:50-10:05
Quick Break
10:05-10:25
Andrea Gagliano: Why fostering an unexpected relationship with your creative colleagues may be the secret to improving your ML operations
10:30-10:50
Stefan Krawczyk: “Deployment for free”: removing the need to write model deployment code at Stitch Fix
10:55-11:15
Romeo Kienzler: CLAIMED, a visual and scalable component library for Trusted AI
11:15-11:30
Quick Break
11:30-11:50
Galina Grunin, Ravi Kondadadi: MLOps for Health care NLP Services
11:55-12:15
Alessya Visnjic: The critical missing component in the production ML stack
12:20-12:30
Closing Remarks and Giveaways