Nexperia has created ESD protection diodes for 48V vehicle communications networks. “Until now, automotive equipment manufacturers lacked suitable ESD protection solutions specifically designed for 48V data lines,” claimed Nexperia head …

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Renesas has introduced three 650V GaN power transistors, aimed at server power supplies and e-mobility chargers. “Designed for multi-kilowatt-class applications, these devices combine GaN technology with a silicon-compatible gate drive …

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Amazon SageMaker Catalog, part of the next generation of Amazon SageMaker, now supports AI recommendations for descriptions—including table summaries, use cases, and column-level descriptions—for custom structured assets registered programmatically. This applies to a wide range of assets, for example, Iceberg tables in Amazon S3, or datasets from third-party and internal applications.

Building on existing automated metadata capabilities for harvested assets from native services like AWS Glue and Amazon Redshift, this enhancement enables users to generate business-friendly descriptions for custom assets using large language models (LLMs) via Amazon Bedrock.

With just a few clicks, users can trigger AI-generated suggestions, review and refine descriptions, and publish enriched asset metadata directly to the catalog. This helps reduce manual documentation effort, improves metadata consistency, and accelerates asset discoverability across organizations.

Learn more about how to generate automated metadata for custom assets in our product documentation .
 

Amazon CloudWatch now supports AWS CloudTrail data event logging for the PutMetricData, GetMetricStatistics and ListMetrics APIs. With this launch, customers have full visibility into metric ingestion and egress activity to their AWS account for best practices in security, operational troubleshooting, and financial management.

CloudTrail captures API activities related to Amazon CloudWatch PutMetricData and other metrics APIs as events. Using the information that CloudTrail collects, you can identify a specific request to any of the CloudWatch metric APIs, the IP address of the requester, the requester’s identity, and the date and time of the request. Logging CloudWatch PutMetricData and other metrics APIs using CloudTrail helps you enable operational and risk auditing, governance, and compliance of your AWS account.

AWS CloudTrail logging for the PutMetricData, GetMetricStatistic and ListMetrics API actions is now available in all AWS Regions, including the AWS GovCloud (US) Regions.

Data logging incurs charges according to AWS CloudTrail Pricing . To learn more about this feature, visit the Amazon CloudWatch documentation page . To enable logging for Amazon CloudWatch metrics data events, using the AWS CloudTrail Management Console, specify CloudWatch metric as the data event type, then choose the APIs that you want to monitor.

Amazon Connect now provides the ability to execute logic such as routing priority changes within a flow while continuing to play audio to customers waiting in queue. For example, when a customer is in queue listening to music or instructions, you can now periodically check metrics to determine whether to transfer them to a different queue or conditionally offer a callback, without having the check itself cause any interruption to the music.

This enhancement to the Loop prompts block is available in all AWS regions where Amazon Connect is offered. To learn more about this feature, see the Amazon Connect Administrator Guide . To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website .
 

Amazon Aurora PostgreSQL-Compatible Edition has added support for PostgreSQL versions 17.5, 16.9, 15.13, 14.18, and 13.21 . The update includes PostgreSQL community’s product improvements and bug fixes, while introducing Aurora-specific enhancements: read replica optimizations to reduce downtime during cluster upgrades, new features for Babelfish , and security improvements.

To use the new version, create a new Aurora PostgreSQL-compatible database with just a few clicks in the Amazon RDS Management Console. You can also upgrade your existing database . Please review the Aurora documentation to learn more about upgrading. Refer to the Aurora version policy to help you to decide how often to upgrade and how to plan your upgrade process. These releases are available in all commercial AWS Regions and the AWS GovCloud (US) Regions.

Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services. To get started with Amazon Aurora, take a look at our getting started page .

Amazon Connect forecasting, capacity planning, and scheduling is now available in AWS GovCloud (US-West). This feature helps you predict contact volumes, allocate agents efficiently, and ensure optimal agent scheduling to meet operational goals while minimizing overstaffing. Using machine learning, it anticipates contact volume and arrival rates, converts forecasts into staffing projections, and assigns daily shifts accordingly. By optimizing operations and helping meet service level goals, Amazon Connect forecasting, capacity planning, and scheduling helps businesses improve both agent productivity and customer satisfaction.

To learn more, please visit our documentation , our webpage , and pricing page . You can purchase Amazon Connect forecasting, capacity planning, and scheduling along with other Amazon Connect AI capabilities through simplified channel-based pricing (e.g. by voice, by chat, by messaging).

Today, AWS Transform introduced three enhancements to help you better assess and plan your migration and modernization journey. These new features include enhanced assessments to analyze EBS cost, .NET agent to analyze code complexity, and an expanded interactive chat interface for .NET modernization guidance.

First, AWS Transform assessments now includes Amazon Elastic Block Storage (EBS) cost analysis, enabling you to better understand and plan for storage costs in your migration initiatives. This enhancement helps you make more informed decisions about resource allocation and budget planning for your transformation projects.

Second, AWS Transform for .NET now supports enhanced code assessment capabilities that help you accelerate modernization planning with greater confidence, efficiency, and time savings. You can view repository transformation complexity, receive transformation group recommendations, and view transformation assessment reports with natural language summaries, all within a single, unified experience.

Finally, AWS Transform now expands chat capability to provide an interactive chat experience that allows you to query specific aspects of your assessment and .NET transformation progress in natural language. You can quickly access relevant information about your modernization journey, get clarification on recommendations, and receive contextual guidance for specific use cases.

These new features are now available in the following AWS Regions : US East (N. Virginia) and Europe (Frankfurt). To learn more, visit the AWS Transform user guide and the frequently asked questions page .

Amazon Inspector is now available in Asia Pacific (Thailand), Middle East (UAE), Asia Pacific (Hyderabad), Asia Pacific (Malaysia), Asia Pacific (Melbourne), Mexico (Central), Israel (Tel Aviv), Canada West (Calgary), and Europe (Spain). Amazon Inspector is a vulnerability management service that continually scans AWS workloads including Amazon EC2 instances, container images, and AWS Lambda functions for software vulnerabilities and unintended network exposure across your AWS organization.

With this expansion, Amazon Inspector extends its security coverage to these regions, designed to help customers automatically discover workloads, conduct continuous vulnerability assessments, and receive actionable security findings. The service is designed to detect newly launched Amazon EC2 instances, Lambda functions, and eligible container images pushed to Amazon ECR and scan them for software vulnerabilities and unintended network exposure.

All accounts new to Amazon Inspector are eligible for a 15-day free trial to evaluate the service and estimate its cost. During the trial, all eligible Amazon EC2 instances, AWS Lambda functions, and container images pushed to Amazon ECR are continually scanned at no cost. After the trial period, you will be charged based on the number of scanned resources. Visit the Amazon Inspector pricing page for more details.

To get started with Amazon Inspector visit our documentation or begin your free trial today .

Amazon Connect Customer Profiles now enables organizations to create customer segments from imported CSV files. This new capability allows contact center managers and campaign managers to upload predefined customer lists, streamlining the creation of targeted segments for personalized engagement strategies.

With this new feature, users can efficiently map CSV data to standard profile attributes powered by generative AI that automatically analyzes and organizes data from different formats, or create custom attributes as needed. The feature includes configurable profile expiry settings that allow organizations to set data retention periods of up to 90 days to maintain data quality and comply with governance requirements. When importing customer data, Customer Profiles utilize unique identifiers (such as customer IDs, email addresses, or phone numbers) to match and update existing profiles when possible, preventing duplicate records and ensuring customer information remains consolidated and current. Customers can now leverage these imported segments to drive multichannel outbound campaigns via SMS, phone calls, and email communications.

Segment creation from imported files is available in US East (N. Virginia), US West (Oregon), Africa (Cape Town), Asia Pacific (Seoul), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt) and Europe (London) AWS regions.

To learn more, visit the Amazon Connect Customer Profiles webpage or see the Amazon Connect Customer Profiles documentation page .