AWS Launches Slew of ML Innovations, Training Programs

Amazon Web Services has announced slew of innovations in machine learning (ML) services and training programs at its 10th annual re:Invent conference.

AWS announced six new capabilities for its industry-leading ML service, Amazon SageMaker, that make ML even more accessible and cost effective. The announcement brings together powerful new capabilities, including a no-code environment for creating accurate ML predictions, more accurate data labeling using highly skilled annotators, a universal Amazon SageMaker Studio notebook experience for greater collaboration across domains, a compiler for ML training that makes code more efficient, automatic compute instance selection ML inference, and serverless compute for ML inference.

• Amazon SageMaker Studio Notebooks — Astra enhancements is available in preview in the AWS Asia Pacific Mumbai, Seoul, Singapore, Sydney, and Tokyo Regions with availability in additional AWS Regions in the coming months.
• Amazon SageMaker Serverless Inference is available in the AWS Asia Pacific Tokyo and Sydney Regions with availability in additional AWS Regions in the coming months.

The company announced two new initiatives designed to make ML more accessible for anyone interested in learning and experimenting with the technology. The AWS AI & ML Scholarship of $10 million is a new education and scholarship program aimed at preparing underrepresented and underserved students globally for careers in ML. The program uses AWS DeepRacer and the new AWS DeepRacer Student League to teach students foundational ML concepts by giving them hands-on experience training ML models for autonomous race cars, while providing educational content centered on ML fundamentals. AWS is further increasing access to ML through Amazon SageMaker Studio Lab, which gives everyone access to a no-cost version of Amazon SageMaker- an AWS service that helps customers build, train, and deploy ML models.

Further, AWS announced three new database capabilities that make it easier and more cost efficient for customers to scale and run the right databases for their job. The announcements introduce a new managed database service for business applications that allows customers to customize the underlying database and operating system, a new table class for Amazon DynamoDB designed to reduce storage costs for infrequently accessed data, and a service that uses ML to better diagnose and remediate database-related performance issues. Together, these innovations make it easier and more cost effective for customers to manage data at scale.

• Amazon RDS Custom is available in preview today in the AWS Singapore, Sydney, and Tokyo Regions with availability in additional AWS Regions in the coming months.
• Amazon DynamoDB Standard-IA is available preview today in the AWS Singapore, Sydney, Seoul, Mumbai, Osaka, and Tokyo Regions.
• Amazon DevOps Guru is available in preview today in the AWS Singapore, Sydney, and Tokyo Regions with availability in additional AWS Regions in the coming months.

Originally published at https://cxotv.techplusmedia.com on December 2, 2021.