Flipboard

APRIL 24, 2025

Create a connector for Amazon Bedrock in OpenSearch Service To use OpenSearch Service machine learning (ML) connectors with other AWS services, you need to set up an IAM role allowing access to that service. Familiarity with Python programming language. The code is open source and hosted on GitHub.

AWS 150

AWS Database Machine Learning Machine Learning 150

AWS Machine Learning Blog

MARCH 19, 2025

AWS (Amazon Web Services) is a comprehensive cloud computing platform offering a wide range of services like computing power, database storage, content delivery, and more.n2. He helps enterprise customers to achieve business outcomes by unlocking the full potential of AI/ML services on the AWS Cloud.

AWS 111

AWS AI AI Cloud Computing 111

O'Reilly Media

SEPTEMBER 19, 2023

Cloud computing? It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” Next up is compute power.

Hadoop 137

Hadoop Algorithm ML ML 137

AWS Machine Learning Blog

MARCH 10, 2025

With seven years of experience in AI/ML, his expertise spans GenAI and NLP, specializing in designing and deploying agentic AI systems. An AWS Certified Solutions Architect Associate (SAA), he has expertise in software architecture, cloud computing, and leadership. Tim Ramos is a Senior Account Manager at AWS.

AWS 106

AWS Database AI AI 106

AWS Machine Learning Blog

JULY 17, 2023

With cloud computing, as compute power and data became more available, machine learning (ML) is now making an impact across every industry and is a core part of every business and industry. Amazon SageMaker Studio is the first fully integrated ML development environment (IDE) with a web-based visual interface.

Clustering 91

Clustering AWS ML ML 91

AWS Machine Learning Blog

MAY 8, 2023

With Amazon SageMaker , you can manage the whole end-to-end machine learning (ML) lifecycle. It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. mlflow/runs/search/", "arn:aws:execute-api: : : / /POST/api/2.0/mlflow/experiments/search",

AWS 94

AWS Data Science Machine Learning Machine Learning 94

AWS Machine Learning Blog

JULY 2, 2024

He is focused on computer vision use cases and helping customers across EMEA accelerate their ML journey. With a decade of experience at Amazon, having joined in 2012, Kshitiz has gained deep insights into the cloud computing landscape. Chris Pecora is a Generative AI Data Scientist at Amazon Web Services.

AWS 131

AWS Data Governance Database Artificial Intelligence 131