The AI Summit New York

2022 Agenda

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Panel: A deep dive into the best practices for ML OPS

Dec 08, 2022
Next-Gen Applications 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 this? 
Speakers
Sai Sharanya Nalla, Principal Data Scientist - Nike
View all 2022 Agenda

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