AWS Machine Learning Blog

MARCH 10, 2025

We walk through the journey Octus took from managing multiple cloud providers and costly GPU instances to implementing a streamlined, cost-effective solution using AWS services including Amazon Bedrock, AWS Fargate , and Amazon OpenSearch Service. Along the way, it also simplified operations as Octus is an AWS shop more generally.

AWS 83

AWS Database AI AI 83

AWS Machine Learning Blog

APRIL 16, 2024

They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference. Previously, data scientists often found themselves juggling multiple tools to support SQL in their workflow, which hindered productivity.

SQL 112

SQL AWS Database Data Scientist 112

Flipboard

AUGUST 17, 2023

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price-performance at any scale. Prerequisites To continue with the examples in this post, you need to create the required AWS resources.

ML 123

ML ML AWS Data Warehouse 123

AWS Machine Learning Blog

JULY 17, 2023

As described in the AWS Well-Architected Framework , separating workloads across accounts enables your organization to set common guardrails while isolating environments. Organizations with a multi-account architecture typically have Amazon Redshift and SageMaker Studio in two separate AWS accounts. Select VPC Only , then choose Next.

Clustering 79

Clustering AWS ML ML 79

AWS Machine Learning Blog

MAY 17, 2023

Configure AWS Identity and Access Management (IAM) roles for Snowflake and create a Snowflake integration. Prerequisites Prerequisites for this post include the following: An AWS account. If you’re happy with the data, you can edit the custom SQL in the data visualizer. Choose Edit in SQL. A Snowflake account.

ML 90

ML ML AWS Database 90

AWS Machine Learning Blog

DECEMBER 29, 2022

Now, teams that collect sensor data signals from machines in the factory can unlock the power of services like Amazon Timestream , Amazon Lookout for Equipment , and AWS IoT Core to easily spin up and test a fully production-ready system at the local edge to help avoid catastrophic downtime events. Prerequisites. Choose Create rule.

Machine Learning 88

Machine Learning Machine Learning AWS Database 88

AWS Machine Learning Blog

AUGUST 4, 2023

The following steps give an overview of how to use the new capabilities launched in SageMaker for Salesforce to enable the overall integration: Set up the Amazon SageMaker Studio domain and OAuth between Salesforce and the AWS account s. Select Other type of secret. Save the secret and note the ARN of the secret.

ML 91

ML ML AWS AI 91