AWS AI Service

Context:
- It can enable the "building of smart applications.
- It can be an AI Platform-as-a-Service (AI PaaS) Platform.
- It can be a Artificial Intelligence SaaS??
- …
Example(s):
- AWS Polly (2016-).
- AWS Lex (2016-).
- AWS Rekognition ().
- AWS Transcribe ().
- AWS Translate ().
- AWS Forecast (2018-)
- AWS Personalize (2018-)
- AWS Fraud Detector (2019-).
- AWS Textract (2019-)
- …
Counter-Example(s):
- an AWS ML PaaS, such as: AWS EMR, AWS SageMaker, AWS Deep Learning AMIs.
- Azure AI Service.
- Google Predictive Modeling Service,
- MLCapsule System.
See: Machine Learning Framework, Machine Learning Model Deployment System.

References

(Amazon ML,2019) ⇒ https://aws.amazon.com/machine-learning Retrieved:2019-01-06
- QUOTE: AWS has the broadest and deepest set of machine learning and AI services for your business.
  On behalf of our customers, we are focused on solving some of the toughest challenges that hold back machine learning from being in the hands of every developer.
  You can choose from pre-trained AI services for computer vision, language, recommendations, and forecasting; Amazon SageMaker to quickly build, train and deploy machine learning models at scale; or build custom models with support for all the popular open-source frameworks.
  Our capabilities are built on the most comprehensive cloud platform, optimized for machine learning with high-performance compute, and no compromises on security and analytics.

(AWS Amazon, 2016) ⇒ https://aws.amazon.com/machine-learning/
- QUOTE: Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning provides visualization tools and wizards that guide you through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology. Once your models are ready, Amazon Machine Learning makes it easy to obtain predictions for your application using simple APIs, without having to implement custom prediction generation code, or manage any infrastructure.
  Amazon Machine Learning is based on the same proven, highly scalable, ML technology used for years by Amazon’s internal data scientist community. The service uses powerful algorithms to create ML models by finding patterns in your existing data. Then, Amazon Machine Learning uses these models to process new data and generate predictions for your application.
  Amazon Machine Learning is highly scalable and can generate billions of predictions daily, and serve those predictions in real-time and at high throughput. With Amazon Machine Learning, there is no upfront hardware or software investment, and you pay as you go, so you can start small and scale as your application grows.