AMAZON CLOUD SERVICES

Amazone Forecast automatically inspects the data, identifies the key attributes, and selects the right algorithms needed for forecasting. Then it trains and optimizes your custom model.

Uses ML Models to continuously analyze streams of disparate data and monitor relevant metrics to establish normal operating patterns

Amazon CodeGuru Security is a tool that helps developers improve the quality of their code and optimize the performance of their applications.

Intelligent search for websites and applications powered by ML

Build Conversational interfaces into any app using voice and text

End-to-end ML-based equipment monitoring system to enable predictive maintenance

Process the text to extract key phrases,entities, and sentiment for further analysis

Store,query, and analyze genomic,transcriptomic, and other omics data

Amazon Personalize is a service that helps developers create and implement customized recommendations .

Build a fraud detection ML model that is customized to your data in a few clicks using a fully automated process.

Amazon Polly sends text and streams speech audio back to AWS Lambda.

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, layout elements.

The easiest way to build and scale generative AI applications with foundation models

Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows

Amazon SageMaker Canvas enables business analysts and data science teams to build their own models without having to write a single line of code.

Amazon SageMaker enables you to label raw data, such as images, text files, and videos, and generate labeled synthetic data to create high-quality datasets for training machine learning (ML) models.

Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare tabular and image data for ML from weeks to minutes.

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models.

Quickly create data analytics, scientific computing, and machine learning projects with notebooks in your browser.

Amazon SageMaker Studio is an integrated development environment (IDE) that provides a single web-based visual interface

SageMaker primarily consists of services related to the development and deployment of machine learning models, such as training, deployment, and data preparation

This service facilitates the training of machine learning models at scale.

Helps developers and data scientists automatically identify and debug issues during the training of machine learning models.

AWS Entity Resolution helps you match and link related records without the need to build custom solutions.