AWS re:Invent 2021: Unveils Latest Innovation In ML Services, Training Programmes
The AWS AI & ML Scholarship of $10 million is a new education and scholarship program
Amazon SageMaker Studio Lab is available today for free globally
Amazon Web Services (AWS) announced the latest innovation in machine learning (ML) services and training programmes at its 10th annual re:Invent conference.
AWS Vice President of Amazon Machine Learning Swami Sivasubramanian revealed new solutions to make ML even more accessible and cost-effective as well as new training programmes and sholarships with an investment of $10 million to further democratize the technology and make it easier to experiment with.
“The keynote reinforced why AWS believes ML will be one of the most transformational technologies of this generation and how it can be used to improve drive innovation and solve challenges in business and society,” said Swami Sivasubramanian.
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.
Six new Amazon SageMaker capabilities –
AWS announced the launch of six new capabilities for its industry-leading ML service, Amazon SageMaker, that make ML even more accessible and cost-effective.
Today’s announcements bring 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 today 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.
AWS announces two new initiatives that make machine learning more accessible – AWS 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 programme 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.
Amazon SageMaker Studio Lab is available today for free globally.
AWS announces database capabilities
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 to 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.
NTT DOCOMO, Inc. is a leading mobile phone operator in Japan. NTT DOCOMO Senior Manager, Service Design Department Chikara Mitsui said the company manages 45 independent applications for customers and internal teams at NTT DOCOMO.
“These teams provide underlying components for public services by NTT DOCOMO and business applications for our company staffers,” said NTT DOCOMO Senior Manager, Service Design Department Chikara Mitsui NTT DOCOMO Senior Manager, Service Design Department Chikara Mitsui
NTT DOCOMO Senior Manager, Service Design Department Chikara Mitsui said the company is excited to use Amazon DevOps Guru for RDS and leverage its machine learning-powered insights to quickly detect, diagnose, and remediate a wide range of database-related performance issues.
“Amazon DevOps Guru provides a single view of insights for our application stack and empowers my team to focus on building more reliable services instead of taking time to investigate operational issues,” said government officials.
