Machine learning deployment on AWS Best practices

This session will dive into key considerations for executives to think about as they design, deploy, and create a machine learning strategy. We will share customer success stories, and how to get started quickly.

Reference Link; https://d1.awsstatic.com/whitepapers/machine-learning-in-financial-services-on-aws.pdf?fnsd_dlml4
https://aws.amazon.com/blogs/machine-learning/machine-learning-best-practices-in-financial-services/#:~:text=A%20code%20repository%20(such%20as,Production%20monitoring%20and%20performance%20logs

Machine learning (ML) application architecture is both the same and different from other architectures deployed in the AWS Cloud. As cloud-based ML applications gain in popularity, users are increasingly asking, “Am I building this right?” This session covers how the best practices established in the AWS Well-Architected Framework apply to ML workloads and where distinctions need to be made to address the unique nature of ML architecture. As a case study, the session also dives deep on publicly available AWS Well-Architected solutions to help you ensure that you have the tools you need to get started correctly.

#machinelearning #cloudguru

Written by admin