Amazon Monitron is an end-to-end system that uses machine learning to detect abnormal conditions in industrial equipment to enable predictive maintenance. Amazon Monitron includes wireless sensors to capture vibration and temperature data; gateways to automatically transfer data to the AWS Cloud; the Amazon Monitron service that analyzes the data for abnormal machine patterns using ML, and a companion mobile app to set up the devices and receive reports on operating behavior and alerts to potential failures in machinery.

Amazon Redshift enhances Redshift ML to support large language models (LLM). Amazon Redshift ML enables customers to create, train, and deploy machine learning models using familiar SQL commands. Now, you can leverage pretrained publicly available LLMs in Amazon SageMaker JumpStart aspart of Redshift ML, allowing you to bring the power of LLMs to analytics. For example, you can make inferences on your product feedback data in Amazon Redshift, use LLMs to summarize feedback, perform entity extraction, sentiment analysis and product feedback classification.

AWS CloudFormation now supports Git sync, enabling customers to synchronize their stacks from a CloudFormation template stored in a remote Git repository. A CloudFormation template describes your desired resources and their dependencies so you can launch and configure them together as a stack. 

Amazon CloudWatch now supports data querying from multiple sources, enabling you to gain visibility across your hybrid and multicloud metrics in a single view. With this feature, you can consolidate and visualize metrics from sources such as Amazon OpenSearch Service, Amazon Managed Service for Prometheus, Azure Monitor, your own custom data sources, and query those metrics in real time, increasing visibility into your application health and helping you resolve critical events faster.

Amazon Personalize is excited to announce Content Generator, a new generative AI powered capability that makes recommendations more compelling by identifying thematic connections between recommended items. Content Generator will assist customers in crafting taglines to create a more engaging browsing experience.

We are excited to announce the preview of generative AI-powered call summarization in Amazon Transcribe Call Analytics to boost contact center agent and manager productivity, and improve customer experience. Powered by Amazon Bedrock, generative call summarization delivers a concise summary of a contact center interaction that captures key components such as why the customer called, how the issue was addressed, and what follow-up actions were identified.

Starting today, customers can deploy the Cost and Usage Dashboard powered by Amazon QuickSight directly from AWS Billing and Cost Management console. The Cost and Usage Dashboard is backed by a summary view of the AWS Cost and Usage Report (CUR), and it enables interactive analysis and secure sharing of cost insights with a broader stakeholder group who may not have access to AWS console.

Application Load Balancer (ALB) now supports Mutual TLS enabling you to authenticate clients while establishing TLS encrypted connections.

AWS Config announces the launch of periodic recording to track resource configuration changes more efficiently at scale. This launch extends AWS Config’s existing recording capabilities , which continuously track every change as it occurs. Periodic recording captures the latest configuration changes of your resources once every 24 hours, reducing the number of changes delivered. Both continuous and periodic recording options are priced based on the number of configurations items.

Amazon WorkSpaces Multi-Region Resilience adds cross-region one-way data replication to standby WorkSpaces to help provide improved business continuity for your WorkSpaces users. You can enable data replication for your standby WorkSpaces, and root and user volume data will automatically replicate from your primary WorkSpaces to your standby WorkSpaces.