AWS Machine Learning

JULY 29, 2022

Large enterprises sometimes set up a center of excellence (CoE) to tackle the needs of different lines of business (LoBs) with innovative analytics and ML projects. To generate high-quality and performant ML models at scale, they need to do the following: Provide an easy way to access relevant data to their analytics and ML CoE.

Government 77

Government Banking Analytics Accountability 77

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. For example, the analytics team may curate features like customer profile, transaction history, and product catalogs in a central management account.

Accountability 104

Accountability Government Engineering Scripts 104

AWS Machine Learning

NOVEMBER 16, 2023

With SageMaker MLOps tools, teams can easily train, test, troubleshoot, deploy, and govern ML models at scale to boost productivity of data scientists and ML engineers while maintaining model performance in production. Regulations in the healthcare industry call for especially rigorous data governance.

Healthcare 88

Healthcare Government Engineering APIs 88

AWS Machine Learning

JULY 29, 2022

This is the second part of a series that showcases the machine learning (ML) lifecycle with a data mesh design pattern for a large enterprise with multiple lines of business (LOBs) and a Center of Excellence (CoE) for analytics and ML. In this post, we address the analytics and ML platform team as a consumer in the data mesh.

Scripts 71

Scripts Analytics Accountability Engineering 71

Avaya

SEPTEMBER 29, 2016

The city of the future is a Smart City, emboldened by technology that folds in government, industry, and consumers. Our building blocks for the Smart City are similar: we want to pull together public safety, smart healthcare, smart education, smart retail, and smart banking and make it accessible to citizens.

Government 79

Government APIs Healthcare Banking 79

AWS Machine Learning

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

Engineering 102

Engineering Accountability Construction APIs 102

AWS Machine Learning

NOVEMBER 1, 2023

In the legal system, discovery is the legal process governing the right to obtain and the obligation to produce non-privileged matter relevant to any party’s claims or defenses in litigation. This two pass solution was made possible by using the ContainsPiiEntities and DetectPiiEntities APIs.

APIs 87

APIs Engineering Government Telecommunications 87