Artificial Intelligence
Author: Rodrigo Alarcon
Integrate Amazon SageMaker Data Wrangler with MLOps workflows
As enterprises move from running ad hoc machine learning (ML) models to using AI/ML to transform their business at scale, the adoption of ML Operations (MLOps) becomes inevitable. As shown in the following figure, the ML lifecycle begins with framing a business problem as an ML use case followed by a series of phases, including […]
Control and audit data exploration activities with Amazon SageMaker Studio and AWS Lake Formation
May 2024: This post was reviewed and updated to use a new dataset, reflect the updated Studio experience and AWS IAM Identity Center. Certain industries are required to audit all access to their data. This includes auditing exploratory activities performed by data scientists, who usually query data from within machine learning (ML) notebooks. This post […]