6/23/2022, 12:00:00 AM ~ 6/24/2022, 12:00:00 AM (UTC)
Recent Announcements
Amazon Connect Wisdom now provides a JavaScript library (WisdomJS) to integrate agent assistance capabilities into your homegrown or third-party agent application, enabling you to increase agent productivity and improve customer satisfaction without having to migrate your agents to another application. Amazon Connect Wisdom reduces the time agents spend searching for answers and enables quick resolution of customer issues by providing knowledge search and real-time recommendations while agents talk with customers.
Amazon EC2 G5 instances now available in additional regions
Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G5 instances powered by NVIDIA A10G Tensor Core GPUs are now available in Asia Pacific (Mumbai, Tokyo), Europe (Frankfurt, London), and Canada (Central). G5 instances can be used for a wide range of graphics intensive and machine learning use cases. They deliver up to 3x higher performance for graphics-intensive applications and machine learning inference, and up to 3.3x higher performance for training simple to moderately complex machine learning models when compared to Amazon EC2 G4dn instances.
Virtual Private Cloud (VPC) support is generally available for SageMaker Ground Truth
Amazon SageMaker Ground Truth helps you build high-quality training datasets for your machine learning (ML) models. With SageMaker Ground Truth, you can use workers from Amazon Mechanical Turk, a vendor company that you choose, or your own private workforce to create labeled datasets for training ML models.
Amazon QuickSight launches monitoring with CloudWatch metrics
Amazon QuickSight now supports monitoring of QuickSight assets by sending metrics to Amazon CloudWatch. QuickSight developers and administrators can use these metrics to observe and respond to the availability and performance of their QuickSight ecosystem in near real time. They can monitor dataset ingestions, dashboards, and visuals to provide their readers with a consistent, performant, and uninterrupted experience on QuickSight. For more information, visit here.
Starting today, compute-optimized Amazon EC2 C7g instances are available in US East (Ohio) and Europe (Ireland). C7g instances are the first instances powered by the latest AWS Graviton3 processors and deliver up to 25% better performance over Graviton2-based C6g instances for a broad spectrum of applications such as application servers, microservices, batch processing, electronic design automation (EDA), gaming, video encoding, scientific modeling, distributed analytics, high performance computing (HPC), CPU-based machine learning (ML) inference, and ad serving.
Amazon SageMaker Ground Truth now supports synthetic data generation
We are excited to announce that Amazon SageMaker Ground Truth now provides support so you can generate labeled synthetic data without collecting large amounts of real-world, manually labeled data. Amazon SageMaker provides two data labeling offerings, Amazon SageMaker Ground Truth Plus and Amazon SageMaker Ground Truth. You can use both options to identify raw data (such as images, text files, and videos) and add informative labels to create high-quality training datasets for your machine learning (ML) models.
AWS announces Amazon CodeWhisperer (Preview)
Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on developers’ comments in natural language and their code in the integrated development environment (IDE). During preview, CodeWhisperer is available for Java, JavaScript, and Python programming languages. The service integrates with multiple IDEs, including JetBrains (IntelliJ, PyCharm, and WebStorm), Visual Studio Code, AWS Cloud9, and the AWS Lambda console.
AWS Graviton2-based Amazon EC2 C6gd instances now available in Asia Pacific (Seoul) Region
Starting today, Amazon EC2 C6gd instances are available in Asia Pacific (Seoul) Region. C6gd instances are ideal for compute-intensive workloads such as high performance computing (HPC), batch processing, ad serving, video encoding, gaming, scientific modelling, distributed analytics, and CPU-based machine learning inference. C6gd instances offer up to 50% more NVMe storage GB/vCPU over comparable x86-based instances and are ideal for applications that need high-speed, low latency local storage.
AWS Blogs
AWS Japan Blog (Japanese)
- We have released a video explaining how to build a development environment for machine learning models!
- Available AWS services to support cloud migration
- Dual-Stack IPv6 Architecture in AWS and Hybrid Networks — Part 2
- AWS Joins the MACH Alliance
- Best Practices: Protecting Amazon Location Service Resources
- Backup and Restore On-Premises VMware Virtual Machines Using AWS Backup
- We have released a video of how to solve the three challenges of learning machine learning models with Amazon SageMaker Training!
AWS News Blog
- New – Amazon SageMaker Ground Truth Now Supports Synthetic Data Generation
- Now in Preview – Amazon CodeWhisperer- ML-Powered Coding Companion
AWS Startups Blog
AWS Big Data Blog
AWS Compute Blog
Containers
AWS Database Blog
- Amazon DevOps Guru for RDS under the hood
- Migrate TDE-enabled SQL Server databases to Amazon RDS for SQL Server
AWS for Industries
- Industrial Personnel & Hazard Tracking with Amazon Location Service
- Simplifying microelectronics education labs with Ruby Cherry EDA on AWS
- Industry Innovators 2022: Seth Goldman Covers the Keys to Success in Innovation in Food and Beverage
- Introducing Amazon Marketing Cloud Insights on AWS
AWS Machine Learning Blog
- Import data from cross-account Amazon Redshift in Amazon SageMaker Data Wrangler for exploratory data analysis and data preparation
- Predict types of machine failures with no-code machine learning using Amazon SageMaker Canvas
AWS Media Blog
Networking & Content Delivery
AWS Security Blog
Open Source Project
AWS CLI
AWS CDK
Amplify for iOS
Amplify UI
- @aws-amplify/ui-vue@2.4.11
- @aws-amplify/ui-react@3.0.2
- @aws-amplify/ui-angular@2.4.12
- @aws-amplify/ui@3.12.0