Amazon SageMaker is an easy to use, fully managed machine learning service on AWS. SageMaker removes many of the barriers that have previously prevented developers from fully incorporating the benefits of machine learning in their applications. The specialized expertise and compute power that used to be required to utilize machine learning is built in to the SageMaker service
Amazon Machine Learning is a part of the Amazon Artifical Intelligence (AI) family, which includes the Amazon Rekognition, Amazon Lex, and Amazon Polly services. Amazon Machine Learning provides AWS customers with an easy way to take advantage of the benefits of complex machine learning capabilities without requiring extensive AI domain expertise. The Machine Learning service enables easy addition of features like fraud detection, sentiment analysis, and customer churn prediction to applications and products.
Amazon Rekognition is a part of the AWS Machine Learning (ML) family of services, which also includes Amazon Lex, Amazon Polly, Comprehend, Transcribe, & Translate, and Amazon Machine Learning. Rekognition is a managed service provided by AWS that allows developers and product owners to easily add face detection, face recognition, and object and scene detection to their applications. Like other AWS services, pricing for AWS Rekognition is based on on your usage of the service. If you use it, you pay, if you don’t you don’t.
Amazon Macie was introduced in 2017 and provides AWS customers with the ability detect and protect sensitive information such as intellectual property (IP) or personally identifiable information (PII), including credit card or social security numbers. Amazon Macie uses machine learning (ML) to identify classified information and to alert customers when unusual activity is detected. Continue reading “Amazon Macie”