The AI Summit New York

2023 Agenda


Reaching new levels of technical capability with MLOps deployment

Dec 07, 2023
Room 1A12
Practitioners Stage
  • The primary benefits of MLOps are efficiency, scalability, and risk reduction
  • Efficiency: MLOps allows data teams to achieve faster model development, deliver higher quality ML models, and faster deployment and production
  • Scalability: MLOps also enables vast scalability and management where thousands of models can be overseen, controlled, managed, and monitored for continuous integration, continuous delivery, and continuous deployment
  • Analyzing the best strategies and practices for ML Ops. What tool and what system do you use – and how do you adapt to this?
Jayeeta Putatunda, Senior Data Scientist and Manager in Emerging Technology - Fitch Ratings
Tarek Khorshed, Lead Technology Architect - World Health Organization (WHO)
Andrew Hoh, Co-founder & CPO - LastMile AI
View all 2023 Agenda

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