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, …

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Build generative AI apps using AWS Step Functions and Amazon Bedrock

Today we are announcing two new optimized integrations for AWS Step Functions with Amazon Bedrock. Step Functions is a visual workflow service that helps developers build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines. In September, we made available Amazon Bedrock, the easiest way to build and scale generative …

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New Cost Optimization Hub centralizes recommended actions to save you money

Today, we are announcing Cost Optimization Hub, a new AWS Billing and Cost Management feature that makes it easy for you to identify, filter, aggregate, and quantify savings for AWS cost optimization recommendations. With the new Cost Optimization Hub, you can interactively query cost optimization recommendations such as idle resource detection, resource rightsizing, and purchasing …

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Amazon CloudWatch Logs now offers automated pattern analytics and anomaly detection

Searching through log data to find operational or business insights often feels like looking for a needle in a haystack. It usually requires you to manually filter and review individual log records. To help you with that, Amazon CloudWatch has added new capabilities to automatically recognize and cluster patterns among log records, extract noteworthy content …

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Amazon Managed Service for Prometheus collector provides agentless metric collection for Amazon EKS

Today, I’m happy to announce a new capability, Amazon Managed Service for Prometheus collector, to automatically and agentlessly discover and collect Prometheus metrics from Amazon Elastic Kubernetes Service (Amazon EKS). Amazon Managed Service for Prometheus collector consists of a scraper that discovers and collects metrics from Amazon EKS applications and infrastructure without needing to run …

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Optimize your storage costs for rarely-accessed files with Amazon EFS Archive

Today, we are introducing EFS Archive, a new storage class for Amazon Elastic File System (Amazon EFS) optimized for long-lived data that is rarely accessed. With this launch, Amazon EFS supports three Regional storage classes: EFS Standard – Powered by SSD storage and designed to deliver submillisecond latency for active data. EFS Infrequent Access (EFS …

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New Amazon CloudWatch log class for infrequent access logs at a reduced price

Amazon CloudWatch Logs announces today a new log class called Infrequent Access. This new log class offers a tailored set of capabilities at a lower cost for infrequently accessed logs, enabling customers to consolidate all their logs in one place in a cost-effective manner. As customers’ applications continue to scale and grow, so does the …

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Developing a Passion for Data Protection: My Journey to Delivering Radical Resilience for Dedalus

Many of us rely on data more than we know. Beyond the IT applications we may use at work, there’s the holiday snaps we share, the news we read each morning, the online orders we place. We often take it for granted that data will be available as and when we need it. But of …

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The Comprehensive Guide to Salesforce Data Retention Policies

In the digital age, data is often considered the lifeblood of a business. It informs decisions, drives strategies, and can be the difference between success and failure. However, with great power comes great responsibility. The responsibility of managing this data is not just a technical requirement but a legal and ethical one. This is where …

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Introducing Amazon CloudFront KeyValueStore: A low-latency datastore for CloudFront Functions

Amazon CloudFront allows you to securely deliver static and dynamic content with low latency and high transfer speeds. With CloudFront Functions, you can perform latency-sensitive customizations for millions of requests per second. For example, you can use CloudFront Functions to modify headers, normalize cache keys, rewrite URLs, or authorize requests. Today, we are introducing CloudFront …

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