Generative Data Intelligence

Tag: AWS Management Console

Improve prediction quality in custom classification models with Amazon Comprehend | Amazon Web Services

Artificial intelligence (AI) and machine learning (ML) have seen widespread adoption across enterprise and government organizations. Processing unstructured data has become easier with the...

Automate prior authorization using CRD with CDS Hooks and AWS HealthLake | Amazon Web Services

Prior authorization is a crucial process in healthcare that involves the approval of medical treatments or procedures before they are carried out. This process...

Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 1 | Amazon Web Services

A successful deployment of a machine learning (ML) model in a production environment heavily relies on an end-to-end ML pipeline. Although developing such a...

Announcing New Tools to Help Every Business Embrace Generative AI | Amazon Web Services

From startups to enterprises, organizations of all sizes are getting started with generative AI. They want to capitalize on generative AI and translate the...

How VirtuSwap accelerates their pandas-based trading simulations with an Amazon SageMaker Studio custom container and AWS GPU instances | Amazon Web Services

This post is written in collaboration with Dima Zadorozhny and Fuad Babaev from VirtuSwap. VirtuSwap is a startup company developing innovative technology for decentralized exchange...

Learn how to build and deploy tool-using LLM agents using AWS SageMaker JumpStart Foundation Models | Amazon Web Services

Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins,...

Amazon SageMaker Domain in VPC only mode to support SageMaker Studio with auto shutdown Lifecycle Configuration and SageMaker Canvas with Terraform | Amazon Web...

Amazon SageMaker Domain supports SageMaker machine learning (ML) environments, including SageMaker Studio and SageMaker Canvas. SageMaker Studio is a fully integrated development environment (IDE)...

Implement smart document search index with Amazon Textract and Amazon OpenSearch | Amazon Web Services

For modern companies that deal with enormous volumes of documents such as contracts, invoices, resumes, and reports, efficiently processing and retrieving pertinent data is...

Apply fine-grained data access controls with AWS Lake Formation in Amazon SageMaker Data Wrangler | Amazon Web Services

Amazon SageMaker Data Wrangler reduces the time it takes to collect and prepare data for machine learning (ML) from weeks to minutes. You can...

Index your Alfresco content using the new Amazon Kendra Alfresco connector | Amazon Web Services

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source...

Exploring summarization options for Healthcare with Amazon SageMaker | Amazon Web Services

In today’s rapidly evolving healthcare landscape, doctors are faced with vast amounts of clinical data from various sources, such as caregiver notes, electronic health...

Flag harmful language in spoken conversations with Amazon Transcribe Toxicity Detection | Amazon Web Services

The increase in online social activities such as social networking or online gaming is often riddled with hostile or aggressive behavior that can lead...

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