Amazon Connect is an easy-to-use cloud contact center that helps companies of any size deliver superior customer service at a lower cost. If you are following our Amazon Connect announcements, you likely noticed that we keep adding more and more machine learning (ML) powered capabilities to Amazon Connect. ML makes Amazon Connect already smarter at analyzing conversations in real time, finding relevant information needed by contact center agents, and authenticating customers by the sound of their voice. Today, I’m excited to announce the general availability of new ML-powered capabilities for Amazon Connect: Amazon Connect forecasting, capacity planning, and scheduling, which was announced in March 2022 at Enterprise Connect, is now generally available! Contact Lens for Amazon Connect adds conversational analytics…
New AWS SimSpace Weaver–Run Large-Scale Spatial Simulations in the Cloud
Today, we’re announcing AWS SimSpace Weaver, a new compute service to run real-time spatial simulations in the cloud and at scale. With SimSpace Weaver, simulation developers are no longer limited by the compute and memory of their hardware. Organizations run simulations on situations that are rare, dangerous, or very expensive to test in the real world. For example, city managers can’t wait for a natural disaster to hit a city to test the response systems. Event planners don’t want to wait until a large sporting event to start to understand the impact the games will have on traffic. Scenarios like these need to be simulated in a safe environment in which planners can test different situations and tune each system.…
New – Amazon EC2 Hpc6id Instances Optimized for High Performance Computing
We have given you the flexibility and ability to run the largest and most complex high performance computing (HPC) workloads with Amazon Elastic Compute Cloud (Amazon EC2) instances that feature enhanced networking like C5n, C6gn, R5n, M5n, and our recently launched HPC instances Hpc6a. We heard feedback from customers asking us to deliver more options to support their most intensive workloads with higher per-vCPU compute performance as well as larger memory and local disk storage to reduce job completion time for data-intensive workloads like Finite Element Analysis (FEA) and seismic processing. Announcing Amazon EC2 Hpc6id Instance for HPC Workloads Today, we announce the general availability of Amazon EC2 Hpc6id instances, a new instance type that is purpose-built for tightly coupled HPC workloads. Amazon…
Preview: Amazon Security Lake – A Purpose-Built Customer-Owned Data Lake Service
To identify potential security threats and vulnerabilities, customers should enable logging across their various resources and centralize these logs for easy access and use within analytics tools. Some of these data sources include logs from on-premises infrastructure, firewalls, and endpoint security solutions, and when utilizing the cloud, services such as Amazon Route 53, AWS CloudTrail, and Amazon Virtual Private Cloud (Amazon VPC). The Amazon Simple Storage Service (Amazon S3) and AWS Lake Formation simplify the creation and management of a data lake on AWS. But, some customers’ security teams still struggle to define and implement security domain–specific aspects, such as data normalization, which requires them to analyze each log source’s structure and fields, define schemas and mappings, and pull in…