4/17/2023, 12:00:00 AM ~ 4/18/2023, 12:00:00 AM (UTC)

Recent Announcements

Prepare data easily with Amazon Personalize and Amazon SageMaker Data Wrangler integration

Amazon Personalize is integrating with Amazon SageMaker Data Wrangler to make it easier for customers to import and prepare their data. Amazon Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. The quality of data used for model training affects the quality of the recommendations, which makes data aggregation and preparation a critical step to get high-quality recommendations using Amazon Personalize. With this launch, Amazon Personalize gives you the ability to prepare your data through Amazon SageMaker Data Wrangler before using it in Amazon Personalize. Customers can use Amazon SageMaker Data Wrangler to import data from 40+ supported data sources and perform end-to-end data preparation (including data selection, cleansing, exploration, visualization, and processing at scale) in a single user interface using little to no code. This allows customers to rapidly prepare their users, items or interactions dataset using Amazon SageMaker Data Wrangler by leveraging over 300 built-in data transformations, retrieving data insights, and quickly iterating by fixing data issues.

Amazon DynamoDB now supports up to 50 concurrent table restores

Amazon DynamoDB now supports up to 50 concurrent table restores per AWS account. The default service quota for table restores increased from 4 to 50, and is applicable to restores performed using point-in-time recovery and on-demand backups managed by DynamoDB and AWS Backup.

AWS announces the Manufacturing and Industrial Competency

We are excited to announce the launch of our AWS Manufacturing and Industrial Competency. Previously known as the AWS Industrial Software Competency, the updated AWS Manufacturing and Industrial Competency has expanded to include new categories to further differentiate partners and help customers find the right solution for their unique business needs.

Amazon EFS now supports up to 10 GiB/s of throughput

Amazon Elastic File System (Amazon EFS) has increased the maximum throughput per file system by 3x to 10 GiB/s of read throughput and 3 GiB/s of write throughput.

Amazon EMR Studio now available in Middle East (Bahrain), Asia Pacific (Hong Kong) Regions

Today, we are excited to announce that Amazon EMR Studio is now available in the Middle East (Bahrain) and Asia Pacific (Hong Kong) regions.

Amazon DocumentDB (with MongoDB compatibility) provides ODBC driver to connect from BI tools

Amazon DocumentDB (with MongoDB compatibility) is a scalable, highly durable, and fully managed database service for operating mission-critical MongoDB workloads.

AWS Glue launches new capability to monitor usage of Glue resources

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning (ML), and application development. Similar to other AWS services, AWS Glue has service limits to protect customers from an unexpected increase in their bill caused by excessive provisioning. Customers can view their current resource limits and request an increase (where appropriate) by logging into the AWS Service Quota console. Today, we are pleased to announce a new capability on Glue that will allow customers to monitor the utilization of certain Glue resources in Cloudwatch and configure the appropriate CloudWatch alarms.

AWS Elastic Disaster Recovery now simplifies launch settings management

AWS Elastic Disaster Recovery (AWS DRS) now supports additional capabilities to help simplify managing the launch settings for your source servers. The launch settings you define using Elastic Disaster Recovery determine how to launch your source servers on AWS as drill and recovery instances. Elastic Disaster Recovery minimizes downtime and data loss with fast, reliable recovery of on-premises and cloud-based applications using affordable storage, minimal compute, and point-in-time recovery.

Amazon Connect Customer Profiles now shows cases information in the agent workspace

Using Amazon Connect Customer Profiles inside the agent workspace, agents can now see cases from 3P case management solutions and Connect Cases inside a particular customer profile. Having both customer profile information together with case details in the same window makes it easier for agents to understand the customer context and reduces wasted time switching between applications. Using the cases table inside the Customer Profile, agents can see case information such as status, date last updated, title, and source system. If agents need more detail, they can click on the case to access additional information from the source system. For example, agents handling transfers, can now see the caller’s open case regarding license renewal, quickly assist them without needing to gather more information, and help provide faster issue resolution. As another example, agents can now see repeat callers’ open cases regarding late deliveries and quickly give them an update on the delivery status.

Amazon SageMaker Collections is a new capability to organize models in the Model Registry

Amazon SageMaker announced Collections, a new capability to organize your machine learning models in the Amazon SageMaker Model Registry. You can use Collections to group registered models that are related to each other and organize them in hierarchies to improve model discoverability at scale.

Introducing the AWS CloudFormation Template Sync Controller for Flux

Today, AWS announces the preview release of the AWS CloudFormation Template Sync Controller for Flux, a new open source project that automates the process of syncing changes from CloudFormation templates to CloudFormation stacks.

AWS Systems Manager Incident Manager now supports Microsoft Teams for Collaboration

Today, AWS announces the general availability of Incident Managers support of Microsoft Teams, extending support to three chat collaboration platforms, Amazon Chime, Slack, and now Microsoft Teams.

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