Today, we announced the next generation of Amazon SageMaker, which is a unified platform for data, analytics, and AI, bringing together widely-adopted AWS machine learning and analytics capabilities. This announcement includes Amazon SageMaker Data and AI Governance, a set of capabilities that streamline the management of data and AI assets. Data teams often face challenges when trying to locate, access, and collaborate on data and AI models across their organizations. The process of discovering relevant assets, understanding their context, and obtaining proper access can be time-consuming and complex, potentially hindering productivity and innovation. SageMaker Data and AI Governance offers a comprehensive set of features by providing a unified experience for cataloging, discovering, and governing data and AI assets. It’s centered…
Tag: AWS News Blog
Announcing the general availability of data lineage in the next generation of Amazon SageMaker and Amazon DataZone
Today, I’m happy to announce the general availability of data lineage in Amazon DataZone, following its preview release in June 2024. This feature is also extended as part of the catalog capabilities in the next generation of Amazon SageMaker, a unified platform for data, analytics, and AI. Traditionally, business analysts have relied on manual documentation or personal connections to validate data origins, leading to inconsistent and time-consuming processes. Data engineers have struggled to evaluate the impact of changes to data assets, especially as self-service analytics adoption increases. Additionally, data governance teams have faced difficulties in enforcing practices and responding to auditor queries about data movement. Data lineage in Amazon DataZone addresses the challenges faced by organizations striving to remain competitive…
Introducing the next generation of Amazon SageMaker: The center for all your data, analytics, and AI
Today, we’re announcing the next generation of Amazon SageMaker, a unified platform for data, analytics, and AI. The all-new SageMaker includes virtually all of the components you need for data exploration, preparation and integration, big data processing, fast SQL analytics, machine learning (ML) model development and training, and generative AI application development. The current Amazon SageMaker has been renamed to Amazon SageMaker AI. SageMaker AI is integrated within the next generation of SageMaker while also being available as a standalone service for those who wish to focus specifically on building, training, and deploying AI and ML models at scale. Highlights of the new Amazon SageMaker At its core is SageMaker Unified Studio (preview), a single data and AI development environment.…
Amazon Q Business is adding new workflow automation capability and 50+ action integrations
Amazon Q Business, a generative AI–powered assistant designed to enhance productivity across various business applications, became generally available earlier this year. Since its launch, Amazon Q Business has been helping customers tackle the challenges of improving workforce productivity. In this post, we have two announcements for Amazon Q Business: AI-powered workflow automation in Amazon Q Business (coming soon) Supports for more than 50 action integrations (generally available) Let’s get started with these new announcements from Amazon Q Business: AI-powered workflow automation in Amazon Q Business (coming soon)Organizations handle hundreds, if not thousands, of complex workflows that demand precise, repeatable execution. Automating these workflows has been a time-consuming process, often taking months and requiring specialized expertise. As a result, many potentially valuable business…