Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as credit card transactions that are likely to result in costly chargebacks, using customized machine learning models. The service now supports Payment Card Industry Data Security Standard (PCI DSS), which applies to entities that store, process, or transmit cardholder data or sensitive authentication data.

Amazon Kendra is an intelligent search service powered by machine learning, enabling organizations to provide relevant information to customers and employees, when they need it.

Amazon ECS today announced a new feature that provides greater configurability for Amazon ECS Tasks that run on a periodic or scheduled basis, or are triggered by Amazon EventBridge (EventBridge) events. Customers now have access to the same rich configurations for scheduled and event-driven Tasks as they do for Tasks launched directly using the Amazon ECS run-Task API.

We are excited to announce that Amazon Fraud Detector now includes model variable importance values with every new fraud detection machine learning (ML) model to provide customers with more insight into their model’s performance.

Amazon Textract is a machine learning service that automatically extracts text, handwriting and data from scanned documents that goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables. We continuously improve the underlying machine learning models based on your feedback to provide even better accuracy. Today, we are pleased to announce an accuracy enhancement update to the handwriting extraction feature. Starting today, you will see improved accuracy of handwritten transcriptions, specifically for numerals, dates, phone numbers, and website address across many documents in finance, healthcare, legal, public sector, and others. Textract now more accurately detects handwriting within documents such as checks, medical forms, travel forms and more. 

AWS Single Sign-On (SSO) is now available in the South America (São Paulo) region. For a full list of the regions where AWS SSO is available, see the AWS Region Table.

Today, we are excited to announce AWS Deep Learning Containers (DLCs) with integrated SDKs for inference that enable customers to easily deploy Hugging Face models in Amazon SageMaker at scale. This was the number one requirement from customers that have been leveraging the Hugging Face AWS DLCs for training (Hugging Face training DLCs) that released in March 2021.

Following the announcement of updates in MySQL database versions 5.7 and 8.0 , we have updated Amazon Relational Database Service (Amazon RDS) for MySQL to support MySQL minor versions 5.7.34, and 8.0.25. We recommend that customers upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MySQL, and to benefit from the numerous bug fixes, performance improvements, and new functionality added by the MySQL community. Learn more about upgrading your database instances in the Amazon RDS User Guide ; and create or update a fully managed Amazon RDS database using the latest available minor versions in the Amazon RDS Management Console .

Amazon RDS for PostgreSQL adds support for the oracle_fdw extension, which allows your PostgreSQL database to connect and retrieve data stored in separate Oracle databases.