Amazon Connect Customer now provides routing step data in the analytics data lake

Amazon Connect Customer now provides routing step data in the analytics data lake, making it easier for customers to generate insights from routing decisions. Using the data lake, customers can leverage Amazon Athena and Amazon Quick to analyze trends, such as contacts queued and contacts joined at each routing step, without complex data pipelines. For example, an analyst can now report on how contacts progressed through each routing step, identify where agent matching criteria were relaxed, and measure the impact of routing step configurations on wait times and agent utilization.
Routing step data is available in all AWS regions where Amazon Connect Customer data lake is offered. To learn more about Amazon Connect Customer data lake, see the Amazon Connect Customer Administrator Guide.  To learn more about Amazon Connect Customer, visit the Amazon Connect Customer website. 
Quelle: aws.amazon.com

Amazon Bedrock Managed Knowledge Base now supports Salesforce and Zendesk as native data source connectors

AWS announces Salesforce and Zendesk data source connectors for Amazon Bedrock Managed Knowledge Base, a fully managed retrieval-augmented generation (RAG) service. Customers can now sync Salesforce knowledge articles and Zendesk articles and community posts directly into their managed knowledge base.

Previously, bringing content from these platforms into Bedrock Knowledge Bases required building custom ingestion pipelines—now, you provide your instance credentials, and the connectors handle data crawling, metadata extraction, and incremental sync automatically.

These connectors make it easy to build AI agents and assistants grounded in the support and product knowledge your teams already maintain in Salesforce and Zendesk. For example, power a customer-facing support bot with up-to-date Zendesk help center articles and community answers, or build an internal sales enablement assistant that retrieves relevant Salesforce knowledge articles during deal preparation. By keeping your knowledge base in sync with these platforms, your retrieval-augmented generation applications always reflect the latest content without manual intervention.

To learn more, see Salesforce data source connector and Zendesk data source connector in the Amazon Bedrock User Guide. For more information about Amazon Bedrock Managed Knowledge Base, visit the Amazon Bedrock Knowledge Bases product page.
Quelle: aws.amazon.com

Billing Transfer now supports automatic billing group creation for two-level transfers

AWS Billing Transfer users can now enable the Auto-Billing Transfer Billing Group Creation, a new AWS Billing Conductor preference that eliminates the manual billing group configuration in two-level billing transfer arrangements. Designed for AWS Distributors managing billing for downstream seller Partners and their end customers, this feature automatically creates billing groups when an end customer accepts a billing transfer from a downstream seller Partner, ensuring pro forma cost data is immediately available to the Partner, with no extra manual configuration.
Auto-Billing Transfer Billing Group Creation is a one-time preference configuration per inbound transfer relationship, enabling you to request the creation of a billing group for any new indirect transfer coming through your Partners’ account, as well as being able to specify an AWS Billing Conductor pricing plan for the billing groups created automatically. 
The preference is accessible through two new API operations and through the AWS Management Console in the Billing Transfer details page. 
To learn more about Auto-Billing Transfer Billing Group Creation and how to configure your billing transfer preferences, visit the AWS Billing Conductor documentation.
Quelle: aws.amazon.com

Amazon CloudWatch Omni: AI-first observability for agents and applications

AWS announces the general availability of Amazon CloudWatch Omni, an evolution of Amazon CloudWatch. Omni is an AI-powered observability experience organized around your teams and the applications they run, so that you can observe and troubleshoot your applications and agents in one place. It combines the interoperability of OpenTelemetry with the scale and reliability of CloudWatch. And it meets you wherever you work: a standalone web experience with single sign-on (SSO) for your team, or a local IDE extension for getting hands-on with your agents.
With CloudWatch Omni, you create spaces in your central accounts to see telemetry across your AWS accounts and Regions, as well as other clouds, including Azure workloads. Omni automatically discovers services, maps dependencies, and surfaces golden metrics to help streamline your operational workflows. Using Omni, you can interact with telemetry however you prefer: via chat, through a guided point-and-click path in the console, or directly from a tool of your choice leveraging Agent Toolkit for AWS. Ask a question in natural language and Omni finds the relevant telemetry, builds dynamic views of the signals you care about, and helps you get to root cause powered by AWS DevOps Agent. Prefer to drive yourself? Point and click through the signals that matter most, whether you’re investigating a degrading application or diving deep into a trace or evaluation.
Omni also features a dedicated agent observability experience with an evaluation-driven development workflow for AI workloads across frameworks including LangGraph, CrewAI, OpenAI Agents SDK, Vercel AI SDK, and Strands. For every prompt, model call, and tool invocation, Omni helps you evaluate quality and run experiments to validate fixes before you ship.
To get started, create your Omni space from the CloudWatch console, configure SSO, and sign in to the standalone web experience. Agent developers can install the free CloudWatch Omni extension for VS Code, Cursor, and Kiro to instrument, debug, and evaluate agents locally (no AWS account required). CloudWatch Omni is generally available in US East (N. Virginia), US West (Oregon) and Europe (Ireland). To learn more, see the Amazon CloudWatch Omni product page and documentation. For pricing, see the CloudWatch Omni pricing page.
Quelle: aws.amazon.com