Simplify custom contact center insights with Amazon Connect analytics data lake

Analytics are vital to the success of a contact center. Having insights into each touchpoint of the customer experience allows you to accurately measure performance and adapt to shifting business demands. While you can find common metrics in the Amazon Connect console, sometimes you need to have more details and custom requirements for reporting based on the unique needs of your business.  Starting today, the Amazon Connect analytics data lake is generally available. As announced last year as preview, this new capability helps you to eliminate the need to build and maintain complex data pipelines. Amazon Connect data lake is zero-ETL capable, so no extract, transform, or load (ETL) is needed. Here’s a quick look at the Amazon Connect analytics…

AWS analytics services streamline user access to data, permissions setting, and auditing

I am pleased to announce a new use case based on trusted identity propagation, a recently introduced capability of AWS IAM Identity Center. Tableau, a commonly used business intelligence (BI) application, can now propagate end-user identity down to Amazon Redshift. This has a triple benefit. It simplifies the sign-in experience for end users. It allows data owners to define access based on real end-user identity. It allows auditors to verify data access by users. Trusted identity propagation allows applications that consume data (such as Tableau, Amazon QuickSight, Amazon Redshift Query Editor, Amazon EMR Studio, and others) to propagate the user’s identity and group memberships to the services that store and manage access to the data, such as Amazon Redshift, Amazon Athena,…

Amazon EC2 high memory U7i Instances for large in-memory databases

Announced in preview form at re:Invent 2023, Amazon Elastic Compute Cloud (Amazon EC2) U7i instances with up to 32 TiB of DDR5 memory and 896 vCPUs are now available. Powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids), these high memory instances are designed to support large, in-memory databases including SAP HANA, Oracle, and SQL Server. Here are the specs: Instance Name vCPUs Memory (DDR5) EBS Bandwidth Network Bandwidth u7i-12tb.224xlarge 896 12,288 GiB 60 Gbps 100 Gbps u7in-16tb.224xlarge 896 16,384 GiB 100 Gbps 200 Gbps u7in-24tb.224xlarge 896 24,576 GiB 100 Gbps 200 Gbps u7in-32tb.224xlarge 896 32,768 GiB 100 Gbps 200 Gbps The new instances deliver the best compute price performance for large in-memory workloads, and offer the highest…

AWS Weekly Roundup – LlamaIndex support for Amazon Neptune, force AWS CloudFormation stack deletion, and more (May 27, 2024)

Last week, Dr. Matt Wood, VP for AI Products at Amazon Web Services (AWS), delivered the keynote at the AWS Summit Los Angeles. Matt and guest speakers shared the latest advancements in generative artificial intelligence (generative AI), developer tooling, and foundational infrastructure, showcasing how they come together to change what’s possible for builders. You can watch the full keynote on YouTube. Announcements during the LA Summit included two new Amazon Q courses as part of Amazon’s AI Ready initiative to provide free AI skills training to 2 million people globally by 2025. The courses are part of the Amazon Q learning plan. But that’s not all that happened last week. Last week’s launches Here are some launches that got my attention:…