AWS Machine Learning

FEBRUARY 13, 2024

SageMaker Feature Store now allows granular sharing of features across accounts via AWS RAM, enabling collaborative model development with governance. This provides an audit trail required for governance and compliance. Their aim is to feed data into a centralized feature store, establishing it as the undisputed reference point.

Accountability 103

Accountability Government Engineering Scripts 103

AWS Machine Learning

JULY 29, 2022

The data scientists in this team use Amazon SageMaker to build and train a credit risk prediction model using the shared credit risk data product from the consumer banking LoB. The central data governance block 2 (center) acts as a centralized data catalog with metadata of various registered data products.

Scripts 71

Scripts Analytics Accountability Engineering 71

AWS Machine Learning

SEPTEMBER 1, 2023

The infrastructure code for all these accounts is versioned in a shared service account (advanced analytics governance account) that the platform team can abstract, templatize, maintain, and reuse for the onboarding to the MLOps platform of every new team. 15K available FM reference Step 1.

Engineering 101

Engineering Accountability Construction APIs 101

Pointillist

JULY 25, 2018

Pointillist can handle data in all forms, whether it is in tables, excel files, server logs, or 3rd party APIs. During onboarding, the data will remain on your Pointillist-hosted SFTP server until the customer success team has created and quality-checked the requisite ingestion script. This process typically takes 1-2 days.

Analytics 43

Analytics Metrics Government Journey mapping 43