AWS Announces the Launch of Multiple Service and Feature Updates at 2022 Asia Pacific Summit

AWS Announces the Launch of Multiple Service and Feature Updates at 2022 Asia Pacific Summit

Earlier this year, and this week, AWS launched multiple products and announced the general availability of existing ones in an effort to streamline the services across various platforms.

Amazon Web Services, Inc. (AWS), has recently announced the launch of multiple services and features. The AWS Summit focused on products and services that are designed to reduce coding while seamlessly releasing web applications. AWS revealed with the introduction of new applications, it aims to bring the cloud closer to customers with new local infrastructure investments. Further, AWS announced it is advancing with innovation in machine learning, data, and analytics. The tech firm also revealed a plan to empower people working in the industrial sector by introducing enhancements in IoT to visualize data.

Here is a recap of AWS service and infrastructure from Jan 1, 2022 to Apr 22, 2022.

  • AWS Announces the general availability of IoT Twinmaker

Having the capability to utilize existing data from various sources, build virtual representations of any physical environment, and combine existing 3D models with real-world data, customers now can harness digital twins to get a holistic view of their ongoing operations in a seamless manner.

  • AWS Announces the general availability of Amplify Studio

Consisting of purpose-built tools and features, AWS Amplify allows front-end web developers to build full-stack applications easily on AWS. With the new AWS Amplify Studio, developers have a new rich environment at their fingertips that allows them to build and ship entire web applications in hours instead of weeks. 

Also Read: AWS Releases New Capabilities for Amazon SageMaker

With Amplify Studio, customers can quickly build an app backend, create rich user interface (UI) components, and connect a UI to the backend with minimal coding. 

  • AWS releases predictions that describe Amazon Fraud Detector Models

AWS introduces prediction explanations for Amazon Fraud Detector (AFD) ML models. Prediction explanations report the impact of the predictors on a fraud score. This enables customers to achieve greater visibility into how their ML model reached a specific fraud score.

  • Amazon Announces the general availability of Serverless V2

The latest version of Amazon Aurora Serverless automatically scales database workloads to hundreds of thousands of transactions in a fraction of the time with second support to even the most demanding applications.

“In 2022, we will see greater adoption of machine learning in Asia Pacific with organizations implementing a wide variety of use cases including recommendation engines, scientific research, logistics, farming, and fraud detection,” says Olivier Klein, AWS Chief Technologist, Asia Pacific and Japan. He further adds, “By putting machine learning in the hands of every builder, and bringing more services to the region, we are committed to enabling our customers across the region to develop new, innovative solutions that drive business productivity, improve lives, and protect our planet.”

“We will continue to accelerate our pace of innovation by inventing entirely new technologies and bringing cloud infrastructure even closer to customers across the Asia Pacific. This will help organizations of all sizes and industries to transform their customer experiences, modernize their applications, and deliver new services at scale,” adds Olivier Klein.

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Vishal Muktewar is a Senior Correspondent at On Dot Media. He reports news that focuses on the latest trends and innovations happening in the B2B industry. An IT engineer by profession, Vishal has worked at Insights Success before joining Ondot. His love for stories has driven him to take up a career in enterprise journalism. He effectively uses his knowledge of technology and flair for writing, for crafting features, articles and interactions for technology enterprise media platforms.