Day 28: Machine learning services
πππ ππππ€ππ«:
π Fully managed service for developers / data scientists to build ML models
π π¨π«ππππ¬π:
π Fully managed service to deliver highly accurate forecasts
π Example: predict the future sales of your product.
πππ§ππ«π:
π Fully managed document search service powered by Machine Learning
π Similar like open search in Db
π Natural language search capabilities
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π Fully managed ML-service to build apps with real-time personalized recommendations
π Integrates into existing websites, applications, SMS, email marketing systems
πππ±ππ«πππ:
π Automatically extracts text, handwriting, and data from any scanned documents using AI and ML
π 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.