AWS Machine Learning Services

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AWS Rekognition

AWS offers a broad family of Machine Learning (ML) services that can be used for many innovative uses cases. You can use ML and artificial intelligence (AI) services to gain deeper insights from data, reduce operational overhead, and improve customer experiences.

Add image and video analysis to your applications.

Identify objects, people, text, scenes, and activities in images and videos.

Processes videos stored in an Amazon S3 bucket.

Publish completion status to Amazon SNS Topic.

AWS Transcribe

Add speech to text capabilities to applications.

Recorded speech can be converted to text before it can be used in applications.

Uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately.

AWS Translate

Neural machine translation service that delivers fast, high-quality, and affordable language translation.

Uses deep learning models to deliver more accurate and more natural sounding translation.

Localize content such as websites and applications for your diverse users.

Amazon SageMaker

Helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models.

ML development activities including:

  • Data preparation.
  • Feature engineering.
  • Statistical bias detection.
  • Auto-ML.
  • Training and tuning.

Amazon Comprehend

Natural-language processing (NLP) service.

Uses machine learning to uncover information in unstructured data.

Can identify critical elements in data, including references to language, people, and places, and the text files can be categorized by relevant topics.

In real time, you can automatically and accurately detect customer sentiment in your content.

Amazon Forecast

Amazon Forecast is a fully managed service that uses statistical and machine learning algorithms to deliver highly accurate time-series forecasts.

Forecast provides state-of-the-art algorithms to predict future time-series data based on historical data.

Requires no machine learning experience.

Time-series forecasting is useful in multiple fields, including retail, finance, logistics, and healthcare.

You can also use Forecast to predict domain-specific metrics for your inventory, workforce, web traffic, server capacity, and finances.

Amazon Lex

Conversational AI for Chatbots.

Build conversational interfaces into any application using voice and text

Build bots to increase contact center productivity, automate simple tasks, and drive operational efficiencies across the enterprise.

Amazon Polly

Turns text into lifelike speech.

Create applications that talk, and build entirely new categories of speech-enabled products.

Text-to-Speech (TTS) service uses advanced deep learning technologies to synthesize natural sounding human speech.

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