Critical Use of MLOps in Finance Using Cloud-Managed ML Services That Scale

Explore the critical application of MLOps in the financial sector using cloud-managed machine learning services that scale in this 38-minute conference talk by Vinnie Saini, Director of Enterprise Architecture at Scotiabank. Delve into how leveraging MLOps is crucial for improving the quality and consistency of machine learning solutions while managing the lifecycle of models. Learn about faster experimentation, development, and deployment of models into production, as well as quality assurance and end-to-end lineage tracking. Discover how trained machine learning models can be deployed as web services in the cloud or locally, utilizing CPU, GPU, or field-programmable gate arrays (FPGA) for inferencing across various compute targets such as Container Instance, Kubernetes Service, and development environments. Gain insights from Saini's extensive experience in driving digital transformations, implementing cloud-first innovative enterprise architecture strategies, and production-scale Machine Learning/AI-driven advancements to optimize performance and reduce costs for enterprises.

Critical Use of MLOps in Finance Using Cloud-Managed ML Services That Scale