AI

Introducing Dataset Q&A: Expanding natural language querying for structured datasets in Amazon Quick

Every BI team knows this bottleneck: a business user has a question that falls outside existing dashboards, so they file a ticket. An analyst writes the query, validates the results, and delivers them—hours or days later. Multiply that by hundreds of ad-hoc requests per month, and the backlog becomes the single biggest constraint on data […]

Introducing Dataset Q&A: Expanding natural language querying for structured datasets in Amazon Quick Read More »

Capacity-aware inference: Automatic instance fallback for SageMaker AI endpoints

As organizations scale generative AI workloads in production, securing reliable GPU compute has become one of the most persistent operational challenges. Large language models (LLMs) and multimodal architectures demand specific instance types and when that capacity isn’t available, endpoints fail before they serve a single request. Building a real-time inference endpoint on Amazon SageMaker AI

Capacity-aware inference: Automatic instance fallback for SageMaker AI endpoints Read More »

AWS Transform now automates BI migration to Amazon Quick in days

Migrating to Amazon Quick doesn’t have to mean starting from scratch. Your dashboards encode hard-won domain knowledge: calculated fields your analysts perfected, layouts your executives rely on every Monday morning, security rules tuned to your org chart. You want AI-powered insights and serverless scale, but you’re staring at hundreds of dashboards and a migration estimate

AWS Transform now automates BI migration to Amazon Quick in days Read More »