AWS Architecture Blog
Author: Shelbee Eigenbrode
Shelbee Eigenbrode is a Machine Learning Specialist Solutions Architect at Amazon Web Services (AWS). She’s been in technology for 23 years, spanning multiple industries and technologies as well as multiple roles. She is currently focused on combining her background in DevOps and machine learning with the delivery and management of machine learning workloads at scale. With over 35 patents granted across various technology domains, she has a passion for continuous innovation and using data to drive business outcomes. Shelbee is based in Denver, CO. In her spare time, she likes to spend time with her family, friends, and overactive dog.
Introducing the Well-Architected Framework for Machine Learning
We have published a new whitepaper, Machine Learning Lens, to help you design your machine learning (ML) workloads following cloud best practices. This whitepaper gives you an overview of the iterative phases of ML and introduces you to the ML and artificial intelligence (AI) services available on AWS using scenarios and reference architectures. How often […]