AWS News Blog
Machine Learning-Powered Amazon Connect, Now With Call Summarization
At AWS our mission is to make machine learning (ML) accessible to data scientists, developers, and business users. To help businesses easily leverage the power of ML, we create purpose-built solutions that embed ML and deep learning technologies directly into a business process to address real customer needs, rather than leaving companies to sort it […]
New for AWS Control Tower – Region Deny and Guardrails to Help You Meet Data Residency Requirements
April 11, 2023 – At AWS re:Invent, AWS Control Tower introduced Comprehensive Controls Management to help you apply managed controls based on service, control objective, or compliance framework. Data residency controls can now be found in the Controls library. For detailed instructions, you can follow the Controls that enhance data residency protection section of the […]
New – AWS Outposts Servers in Two Form Factors
AWS Outposts gives you on-premises compute and storage that is monitored and managed by AWS, and controlled by the same, familiar AWS APIs. You may already know about the AWS Outposts rack, which occupies a full 42U rack. Last year I told you that we were working on new sizes of Outposts suitable for locations […]
Announcing Amazon SageMaker Canvas – a Visual, No Code Machine Learning Capability for Business Analysts
As an organization facing business problems and dealing with data on a daily basis, the ability to build systems that can predict business outcomes becomes very important. This ability lets you solve problems and move faster by automating slow processes and embedding intelligence in your IT systems. But how do you make sure that all […]
Amazon Kinesis Data Streams On-Demand – Stream Data at Scale Without Managing Capacity
Today we are launching Amazon Kinesis Data Streams On-demand, a new capacity mode. This capacity mode eliminates capacity provisioning and management for streaming workloads. Kinesis Data Streams is a fully-managed, serverless service for real-time processing of streamed data at a massive scale. Kinesis Data Streams can take any amount of data, from any number of […]
Introducing Amazon Redshift Serverless – Run Analytics At Any Scale Without Having to Manage Data Warehouse Infrastructure
We’re seeing the use of data analytics expanding among new audiences within organizations, for example with users like developers and line of business analysts who don’t have the expertise or the time to manage a traditional data warehouse. Also, some customers have variable workloads with unpredictable spikes, and it can be very difficult for them […]
AWS Lake Formation – General Availability of Cell-Level Security and Governed Tables with Automatic Compaction
A data lake can help you break down data silos and combine different types of analytics into a centralized repository. You can store all of your structured and unstructured data in this repository. However, setting up and managing data lakes involve a lot of manual, complicated, and time-consuming tasks. AWS Lake Formation makes it easy […]
Join the Preview – Amazon EC2 C7g Instances Powered by New AWS Graviton3 Processors
We announced the first generation AWS-designed Graviton processor in late 2018, and followed it up with the second generation Graviton2 a year later. Today, AWS customers make use of twelve different Graviton2-powered instances including the new X2gd instances that are designed for memory-intensive workloads. All Graviton processors include dedicated cores & caches for each vCPU, […]