Amazon Transcribe Call Analytics adds new generative AI-powered call summaries (preview)

We are announcing generative artificial intelligence (AI)-powered call summarization in Amazon Transcribe Call Analytics in preview. Powered by Amazon Bedrock, this feature helps businesses improve customer experience, and agent and supervisor productivity by automatically summarizing customer service calls. Amazon Transcribe Call Analytics provides machine learning (ML)-powered analytics that allows contact centers to understand the sentiment, trends, and policy compliance of customer conversations to improve their experience and identify crucial feedback. A single API call is all it takes to extract transcripts, rich insights, and summaries from your customer conversations. We understand that as a business, you want to maintain an accurate historical record of key conversation points, including action items associated with each conversation. To do this, agents summarize notes…

New – AWS Audit Manager now supports first third-party GRC integration

Auditing is a continuous and ongoing process, and every audit includes the collection of evidence. The evidence gathered helps confirm the state of resources and it’s used to demonstrate that the customer’s policies, procedures, and activities (controls), are in place, and that the control has been operational for a specified period of time. AWS Audit Manager already automates this evidence collection for AWS usage. However, large enterprise organizations who deploy their workloads across a range of locations such as cloud, on-premises, or a combination of both, manage this evidence data using a combination of third-party or homegrown tools, spreadsheets, and emails. Today we’re excited to announce the integration of AWS Audit Manager with third party Governance, Risk, and Compliance (GRC)…

New – Manage Planned Lifecycle Events on AWS Health

We are announcing new features in AWS Health to help you manage planned lifecycle events for your AWS resources and dynamically track the completion of actions that your team takes at the resource-level to ensure continued smooth operations of your applications. Some examples of planned lifecycle events are an Amazon Elastic Kubernetes Service (Amazon EKS) Kubernetes version end of standard support, Amazon Relational Database Service (Amazon RDS) certificate rotations, and end of support for other open source software, to name a few. These features include: The ability to dynamically track the completion of actions at the resource level where possible, to minimize disruption to applications. Timely visibility into upcoming planned lifecycle events, using notifications at least 90 days in advance…

AWS Weekly Roundup – Amazon Bedrock Is Now Generally Available, Attend AWS Innovate Online, and More – Oct 2, 2023

Last week I attended the AWS Summit Johannesburg. This was the first summit to be hosted in my own country and my own city since 2019 so it was very special to have the opportunity to attend. It was great to get to meet with so many of our customers and hear how they are building on AWS. Now on to the AWS updates. I’ve compiled a few announcements and upcoming events you need to know about. Let’s get started! Last Week’s Launches Amazon Bedrock Is Now Generally Available – Amazon Bedrock was announced in preview in April of this year as part of a set of new tools for building with generative AI on AWS. Last week’s announcement of…