AWS Machine Learning Blog

Category: Amazon Managed Workflows for Apache Airflow (Amazon MWAA)

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 […]

Orchestrate XGBoost ML Pipelines with Amazon Managed Workflows for Apache Airflow

The ability to scale machine learning operations (MLOps) at an enterprise is quickly becoming a competitive advantage in the modern economy. When firms started dabbling in ML, only the highest priority use cases were the focus. Businesses are now demanding more from ML practitioners: more intelligent features, delivered faster, and continually maintained over time. An […]