Today, I’m happy to share that Amazon Q in QuickSight is available for preview. Now you can experience the Generative BI capabilities in Amazon QuickSight announced on July 26, as well as two additional capabilities for business users. Turning insights into impact faster with Amazon Q in QuickSight With this announcement, business users can now …
Today, we are announcing Amazon Q, a new generative artificial intelligence- (AI)-powered assistant designed for work that can be tailored to your business. You can use Amazon Q to have conversations, solve problems, generate content, gain insights, and take action by connecting to your company’s information repositories, code, data, and enterprise systems. Amazon Q provides …
Introducing Amazon Q, a new generative AI-powered assistant (preview) Read More »
As our applications age, it takes more and more effort just to keep them secure and running smoothly. Developers managing the upgrades must spend time relearning the intricacies and nuances of breaking changes and performance optimizations others have already discovered in past upgrades. As a result, it’s difficult to balance the focus between new features …
Upgrade your Java applications with Amazon Q Code Transformation (preview) Read More »
Today, I’m excited to introduce the preview of new generative artificial intelligence (AI) capabilities within Amazon CodeCatalyst that accelerate software delivery using Amazon Q. Accelerate feature development – The feature development capability in Amazon Q can help you accelerate the implementation of software development tasks such as adding comments and READMEs, refining issue descriptions, generating …
Today, we are announcing the preview of Amazon Q, a new type of generative artificial intelligence (AI) powered assistant that is specifically for work and can be tailored to a customer’s business. Amazon Q brings a set of capabilities to support developers and IT professionals. Now you can use Amazon Q to get started building …
Amazon Q brings generative AI-powered assistance to IT pros and developers (preview) Read More »
As part of your responsible artificial intelligence (AI) strategy, you can now use Guardrails for Amazon Bedrock (preview) to promote safe interactions between users and your generative AI applications by implementing safeguards customized to your use cases and responsible AI policies. AWS is committed to developing generative AI in a responsible, people-centric way by focusing …
Back in July, we introduced Agents for Amazon Bedrock in preview. Today, Agents for Amazon Bedrock is generally available. Agents for Amazon Bedrock helps you accelerate generative artificial intelligence (AI) application development by orchestrating multistep tasks. Agents uses the reasoning capability of foundation models (FMs) to break down user-requested tasks into multiple steps. They use …
Today, I’m excited to share that you can now privately and securely customize foundation models (FMs) with your own data in Amazon Bedrock to build applications that are specific to your domain, organization, and use case. With custom models, you can create unique user experiences that reflect your company’s style, voice, and services. With fine-tuning, …
Back in September, we introduced Knowledge Bases for Amazon Bedrock in preview. Starting today, Knowledge Bases for Amazon Bedrock is generally available. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation (RAG). Access to additional data helps the model generate more relevant, …
Knowledge Bases now delivers fully managed RAG experience in Amazon Bedrock Read More »
We are opening up a preview of the next generation of Amazon Elastic Compute Cloud (Amazon EC2) instances. Equipped with brand-new Graviton4 processors, the new R8g instances will deliver better price performance than any existing memory-optimized instance. The R8g instances are suitable for your most demanding memory-intensive workloads: big data analytics, high-performance databases, in-memory caches …
