Amazon Bedrock, the easiest way to build and scale generative AI applications with foundation models (FMs), is now generally available. Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading AI companies including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, along with a broad set of capabilities that you need to build generative AI applications, simplifying development while maintaining privacy and security.

Amazon Titan Embeddings is a text embeddings model that converts natural language text including single words, phrases, or even large documents, into numerical representations that can be used to power use cases such as search, personalization, and clustering based on semantic similarity. Optimized for text retrieval to enable Retrieval Augmented Generation (RAG) use cases, Amazon Titan Embeddings, enables you to first convert your text data into numerical representations or vectors and then use those vectors to accurately search for relevant passages from a vector database, allowing you to make the most of your proprietary data in combination with other foundation models (FMs).

Amazon QuickSight customers now have three new Generative business intelligence (BI) capabilities available in preview. First, business analysts using QuickSight can now build visualizations by specifying what they want to see in natural language. For example, “Show me count of orders in 2023 by city as a map” will instantly render a geographic map visualization automatically configured with count of “orders” filtered by 2023. Second, business analysts can build complex calculations in seconds by specifying the expected outcome in natural language, without searching for or experimenting with advanced calculation syntax. Lastly, visualizations on dashboards can be refined and tweaked using natural language prompts, removing hours of tedious point-and-click operations traditionally associated with BI tools.

Amazon Textract is a machine learning service that automatically extracts printed text, handwriting, and data from any document or image. Today, we are pleased to announce Layout, a new Amazon Textract feature that enables customers to extract layout elements such as paragraphs, titles, lists, headers, footers, and more from documents. Layout will be a new feature type in the Analyze Document API. Customers can use Layout as a stand-alone feature or in combination with other Analyze Document feature types.

Today, AWS IoT Core a fully managed cloud service that lets you connect billions of devices and process trillions of messages, announces a new inline Rule function that enables you to extract the source IP address of the publisher of an IoT message. Once you extract the source IP address, you can send it to other AWS and third-party services for further analytics based on your business needs. For example, you can use the source IP address with location solvers (such as, AWS IoT Core Device Location ) to determine the approximate location of an IoT device and build location-based applications, such as asset tracking, video content delivery etc.

Amazon Chime’s new Waiting Room adds another layer of privacy to all your meetings. Starting today, anonymous users that attempt to join your meeting are sent to the Waiting Room until you or another attendee from your company admits them in. Registered and signed in attendees who are invited still receive auto-calls and join your meetings without going through the Waiting Room.

AWS Migration Hub Orchestrator now supports Microsoft SQL Server transaction logs to help you minimize the cutover downtime during SQL Server database migration to AWS. With this capability, you can now select the transaction log as one of the backup types, create a migration workflow based on the predefined template, and run the workflow step by step to accelerate SQL Server migration and reduce downtime during cutover to AWS.

AWS App Runner now supports deploying services from source code repositories that follow a monorepo structure. App Runner makes it easier for developers to quickly deploy containerized web applications and APIs to the cloud, at scale, and without managing infrastructure. With App Runner build-from-source capability you can offload the build and deployment workflow management to App Runner and deploy services directly from source code. App Runner provides convenient platform-specific managed runtimes. Each one of these runtimes builds a container image from your source code, and adds language runtime dependencies into your application container image.

Today, Amazon Simple Queue Service (SQS) announces support for Attribute-Based Access Control (ABAC) in Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Europe (Spain), Europe (Zurich) and AWS GovCloud (US) Regions, enabling customers to bolster their overall security postures with a flexible and scalable access control solution. Amazon SQS is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. 

Starting today, you can use AWS Application Migration Service (AWS MGN) to prepare your environment for the migration process using the MGN connector directly from the AWS Application Migration Service console.