AWS Database Internet of Things 
AWS Machine Learning Blog
OCTOBER 31, 2024
AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. The following figure illustrates the high-level design of the solution.
AWS Machine Learning Blog
APRIL 3, 2025
Thats why we at Amazon Web Services (AWS) are working on AI Workforcea system that uses drones and AI to make these inspections safer, faster, and more accurate. This post is the first in a three-part series exploring AI Workforce, the AWS AI-powered drone inspection system. In this post, we introduce the concept and key benefits.
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AWS Machine Learning Blog
JANUARY 30, 2025
The AWS Social Responsibility & Impact (SRI) team recognized an opportunity to augment this function using generative AI. Historically, AWS Health Equity Initiative applications were reviewed manually by a review committee. The team used DynamoDB, a NoSQL database, to store the personas, rubrics, and submitted proposals.
APRIL 21, 2025
In this post, to address the aforementioned challenges, we introduce an automated evaluation framework that is deployable on AWS. We then present a typical evaluation workflow, followed by our AWS-based solution that facilitates this process. We also provide LLM-as-a-judge evaluation metrics using the newly released Amazon Nova models.
AWS Machine Learning Blog
MARCH 17, 2025
Furthermore, healthcare decisions often require integrating information from multiple sources, such as medical literature, clinical databases, and patient records. AWS Lambda orchestrator, along with tool configuration and prompts, handles orchestration and invokes the Mistral model on Amazon Bedrock.
AWS Machine Learning Blog
JANUARY 13, 2023
In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. In the second post , we present the use cases and dataset to show its effectiveness in analyzing real-world healthcare datasets, such as the eICU data , which comprises a multi-center critical care database collected from over 200 hospitals.
AWS Machine Learning Blog
JANUARY 13, 2023
To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. In the first post , we described FL concepts and the FedML framework.
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