AWS Blog

What’s New at AWS

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    Amazon Aurora now supports zero-ETL integration with Amazon Redshift, to enable near real-time analytics and machine learning (ML) using Amazon Redshift on petabytes of transactional data from Aurora. Within seconds of transactional data being written into Aurora, the data is available in Amazon Redshift, so you don’t have to build and maintain complex data pipelines […]
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    Today, AWS Key Management Service (AWS KMS) introduces the External Key Store (XKS), a new feature for customers who want to protect their data with encryption keys stored in an external key management system under their control. This capability brings new flexibility for customers to encrypt or decrypt data with cryptographic keys, independent authorization, and […]
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    Amazon Redshift already supports role-based access control, row-level security, and column-level security to enable organizations to enforce fine-grained security on Redshift data. Amazon Redshift now extends these security features by supporting Dynamic Data Masking (DDM) that allows you to simplify the process of protecting sensitive data in your Amazon Redshift data warehouse. With Dynamic data […]
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    Amazon Redshift now supports real-time streaming ingestion for Amazon Kinesis Data Streams (KDS) and Amazon Managed Streaming for Apache Kafka (MSK). Amazon Redshift streaming ingestion eliminates the need to stage streaming data in Amazon S3 before ingesting it into Amazon Redshift, enabling customers to achieve low latency, measured in seconds, while ingesting hundreds of megabytes […]
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    Amazon Omics is a new purpose-built service that helps healthcare and life science organizations store, query, and analyze genomic, transcriptomic, and other omics data and then generate insights from that data to improve health and advance scientific discoveries. Omics is designed to support large scale analysis and collaborative research so you can store and, together […]
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    Amazon Connect forecasting, capacity planning, and scheduling, now generally available, provides new machine learning (ML)–powered capabilities for contact centers. Forecasting, capacity planning, and scheduling help your contact center managers forecast contact demand, determine optimal staffing levels, and ensure the right agents are available at the right time to meet your operational and business goals.
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    Amazon Connect agent workspace now provides a step-by-step experience (preview) that guides agents by identifying customer issues and recommending subsequent actions. With Amazon Connect, you can create workflows that walk agents through custom UI pages that suggest what to do at a given moment during a customer interaction. Detailed step-by-step guides increase agent productivity and decrease training time.
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    Contact Lens for Amazon Connect now provides a set of agent performance evaluation capabilities (preview) that enable contact center managers to create evaluation forms with criteria (e.g, adherence to talk scripts or compliance with sensitive data collection practices) that can be scored using Contact Lens’ machine learning powered conversational analytics. Managers can assess agent performance […]
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    AWS Supply Chain is a cloud-based application that helps supply chain leaders mitigate risks and lower costs to increase supply chain resilience. AWS Supply Chain unifies supply chain data, provides machine learning (ML)–powered actionable insights, and offers built-in contextual collaboration, all of which help you increase customer service levels by reducing stock outs and help […]


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