Artificial Intelligence
Author: Rumi Olsen
Rumi Olsen is a Solutions Architect and also leads an AI/ML Solutions Architect team in the AWS Partner Program. Rumi collaborates closely with top machine learning ISV partners, leveraging AWS ML services to elevate their products and spearheading strategic engagements.
Build an MLOps sentiment analysis pipeline using Amazon SageMaker Ground Truth and Databricks MLflow
As more organizations move to machine learning (ML) to drive deeper insights, two key stumbling blocks they run into are labeling and lifecycle management. Labeling is the identification of data and adding labels to provide context so an ML model can learn from it. Labels might indicate a phrase in an audio file, a car […]
Call an Amazon SageMaker model endpoint using Amazon API Gateway and AWS Lambda
March 2025: This post was reviewed and updated for accuracy. At AWS Machine Learning (ML) workshops, customers often ask, “After I deploy an endpoint, where do I go from there?” You can deploy an Amazon SageMaker AI trained and validated ML model as an online endpoint in production. Alternatively, you can choose which SageMaker functionality […]