MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations

© Hien Luu, Max Pumperla and Zhe Zhang 2024

H. Luu et al.MLOps with Rayhttps://doi.org/10.1007/979-8-8688-0376-5_9

9. The Future of MLOps

Hien Luu¹  , Max Pumperla² and Zhe Zhang³

(1)

Santa Clara, CA, USA

(2)

Bad Segeberg, Germany

(3)

Sunnyvale, CA, USA

 

As AI/ML matures and businesses increasingly rely on them for business competitive advantages, such as enhancing customer experience and driving growth, a robust MLOps infrastructure becomes critical. Just as data infrastructure became an essential for managing and analyzing data for data-driven companies, MLOps has transformed into the essential backbone for effectively developing, deploying, managing, and monitoring AI/ML models in production at scale.

MLOps Landscape

While AI/ML has immense potential ...