Day 28: Machine learning services

Jeeva-AWSLabsJourney
2 min readNov 21, 2023

--

π’πšπ πžπŒπšπ€πžπ«:

πŸ‘‰ Fully managed service for developers / data scientists to build ML models

π…π¨π«πžπœπšπ¬π­:

πŸ‘‰ Fully managed service to deliver highly accurate forecasts

πŸ‘‰ Example: predict the future sales of your product.

𝐊𝐞𝐧𝐝𝐫𝐚:

πŸ‘‰ Fully managed document search service powered by Machine Learning

πŸ‘‰ Similar like open search in Db

πŸ‘‰ Natural language search capabilities

𝐏𝐞𝐫𝐬𝐨𝐧𝐚π₯𝐒𝐳𝐞:

πŸ‘‰ Fully managed ML-service to build apps with real-time personalized recommendations

πŸ‘‰ Integrates into existing websites, applications, SMS, email marketing systems

π“πžπ±π­π«πšπœπ­:

πŸ‘‰ Automatically extracts text, handwriting, and data from any scanned documents using AI and ML

πŸ‘‰ Read and process any type of document

SageMaker:

SageMaker is a fully managed service designed for developers and data scientists to build, train, and deploy machine learning models. This service provides a comprehensive set of tools and features to simplify the entire machine learning workflow, from data preparation and model training to deployment and scaling. It allows users to quickly experiment with different algorithms, frameworks, and datasets without the need to manage the underlying infrastructure.

Forecast:

Forecast is a fully managed service focusing on delivering highly accurate forecasts. For example, it can be used to predict future sales of a product. This service likely uses advanced forecasting algorithms and models to analyze historical data, identify patterns, and make predictions. It can be valuable for businesses in optimizing inventory management, demand planning, and other areas where accurate forecasts are crucial.

Kendra:

Kendra is a fully managed document search service powered by machine learning. It operates similarly to an open search in a database but with enhanced natural language search capabilities. This service can automatically index and search through vast amounts of unstructured data, making it easier to find relevant information within documents. Kendra is likely trained to understand context and meaning, providing more accurate and contextually relevant search results.

Personalize:

Personalize is a fully managed ML service tailored for building applications with real-time personalized recommendations. It can integrate seamlessly into existing websites, applications, SMS, and email marketing systems. The service uses machine learning algorithms to analyze user behavior and preferences, generating personalized recommendations that enhance user engagement and satisfaction. This can be particularly useful for e-commerce platforms, streaming services, and other applications where personalized content is essential.

Textract:

Textract is a service that automatically extracts text, handwriting, and data from scanned documents using artificial intelligence and machine learning. It is capable of reading and processing various types of documents, making it a powerful tool for automating document analysis and data extraction processes. Textract can be applied in scenarios where large volumes of documents need to be processed quickly and accurately, such as in legal, financial, or administrative workflows.

--

--

Jeeva-AWSLabsJourney
Jeeva-AWSLabsJourney

Written by Jeeva-AWSLabsJourney

Exploring AWS, cloud, Linux & DevOps. Your guide to navigating the digital realm. Join me on the journey of discovery

No responses yet