Starting today, you can access additional call attributes in your contact flow to build integrations that can authenticate incoming phone calls more accurately, reduce handle times, and enable greater personalization. Additional call attributes from telephony carriers, such as the geographic location of the voice equipment where the call originated, type of phone devices such as a landline or mobile, the number of network segments the call traversed, and other call origination information can be used to improve fraud detection and determine call treatment. For example, you can route trusted incoming calls to your typical agents while routing phone calls with potential fraud signals through a different contact flow to a specialized agent. You can also send phone calls originating outside the country to call center agents that have multilingual skills.

Today, we are excited to announce additional capabilities with Amazon CodeGuru Reviewer. You can now add tags to associated repositories to better identify, organize, and manage your AWS resources.

Amazon CloudWatch Application Insights today announces the ability to easily add monitoring for Java applications for your enterprise applications. CloudWatch Application Insights is a simple to use capability that with just a few clicks guides customers through setting up monitoring and enhanced observability for enterprise applications running on AWS resources. The new feature monitors metrics emitted by Java along with pertinent application related metrics.

Amazon RDS Performance Insights supports SQL-level metrics on Amazon RDS for PostgreSQL so you can identify high-frequency, long-running, and stuck SQL queries in seconds.  

Amazon S3 Storage Lens delivers organization-wide visibility into your object storage usage and activity trends, and makes actionable recommendations to improve cost-efficiency and apply data protection best practices. S3 Storage Lens is the first cloud storage analytics solution to provide a single view of object storage usage and activity across tens to hundreds of accounts in an AWS organization, with drill-downs to generate insights at the account, bucket, or even prefix level. Drawing from more than 14 years of experience helping customers optimize storage, S3 Storage Lens analyzes organization-wide metrics to deliver contextual recommendations to find ways to reduce your storage costs and apply best practices on data protection. 

Real-Time Live Sports Updates Using AWS AppSync is a new AWS Solutions Implementation that helps media and entertainment (M&E) companies deliver sports information to their customers on mobile and web applications in near real-time. Delivering real-time sports updates is a critical workload for many M&E companies. When a fan’s favorite team scores a goal, hits a home run, or makes a touchdown, it is important that this update makes it to fans in as close to real-time as possible. This solution simplifies historically complex and expensive infrastructure and helps support thousands of fans tracking a game or match in a web or mobile application.

AWS ParallelCluster is a fully supported and maintained open source cluster management tool that makes it easy for scientists, researchers, and IT administrators to deploy and manage High Performance Computing (HPC) clusters in the AWS cloud. HPC clusters are collections of tightly coupled compute, storage, and networking resources that enable customers to run large scale scientific and engineering workloads. 

AWS IoT Greengrass is now available in the AWS GovCloud (US-East) Region. AWS IoT Greengrass seamlessly extends AWS to edge devices so they can act locally on the data they generate, while still using the cloud for management, analytics, and durable storage. With AWS IoT Greengrass, connected devices can run AWS Lambda functions, Docker containers, or both, execute predictions based on machine learning models, keep device data in sync, and communicate with other devices securely – even when not connected to the Internet.

The Amazon Chime SDK now supports noise suppression, 48kHz audio, and client-side video inspection and manipulation. 

You can now configure your Amazon Lex chatbot to improve engagement with customers who speak French, Spanish, Italian, or Canadian French. Amazon Lex allows you to create intelligent conversational chatbots that can be used with Amazon Connect to automate high volume interactions without compromising customer experience. Customers can perform tasks such as changing a password, requesting a balance on an account, or scheduling an appointment using natural conversational language. Customers can say things like “I need help with my device” instead of having to listen through and remember a list of options like press 1 for sales, or press 2 for appointments.