One of the key components in Quick Sight is SPICE (Super-fast, Parallel, In-memory Calculations Engine). This fully managed and highly available query acceleration engine is designed to provide fast responses to queries originating within analyses, dashboards, pixel-perfect reports, data exports, and for questions asked using natural language. In this post, we explain how to use the refresh APIs from the AWS Command Line Interface (AWS CLI) and explore relevant use cases.

This post shows you how to migrate your self-managed MLflow tracking server to a MLflow App – a serverless tracking server on SageMaker AI that automatically scales resources based on demand while removing server patching and storage management tasks at no cost. Learn how to use the MLflow Export Import tool to transfer your experiments, runs, models, and other MLflow resources, including instructions to validate your migration’s success.

This post demonstrates how to solve this challenge by building an AI-powered website assistant using Amazon Bedrock and Amazon Bedrock Knowledge Bases.

In this post we demonstrate how using GitLab Runners on EKS Auto Mode, combined with Amazon Elastic Compute Cloud (Amazon EC2) Spot Instances, can deliver enterprise-scale CI/CD capabilities while achieving up to 90% cost reduction when compared to traditional deployment models. This approach not only optimizes operational expenses, but also provides resilient, scalable pipeline execution.

In this post, we focus on observing and scaling ML operations (MLOps) infrastructure on Kubernetes. MLOps platforms running on Amazon EKS provide powerful built-in capabilities for logging, monitoring, and alerting that are essential for maintaining healthy ML systems at scale.

This post looks at various options for container image caching, model training, and inferencing workloads. This post also discusses various storage options such as Amazon Simple Storage Service (Amazon S3), FSx for lustre, S3 Express One Zone, and Amazon S3 Connector for PyTorch.

This post details how platform engineering teams can build an assurance pipeline for Amazon EKS deployments, incorporating validation frameworks that verify configurations, test infrastructure as code (IaC), assess application resilience, and establish compliance with organizational standards.

Building on a momentous launch earlier this year, AWS adds new powerful AI capabilities to AWS Transform for VMware migration agent. AWS Transform for VMware understands your business priorities, adapts to your environments, and gives you greater control at every migration step. The agent orchestrates migration processes including dependency mapping, intelligent wave planning, and network [...]

In this post, we demonstrate how Kiro CLI and the MSK MCP server can streamline your Kafka management. Through practical examples and demonstrations, we show you how to use these tools to perform common administrative tasks efficiently while maintaining robust security and reliability.

In this post, we explore how to programmatically create an IDP solution that uses Strands SDK, Amazon Bedrock AgentCore, Amazon Bedrock Knowledge Base, and Bedrock Data Automation (BDA). This solution is provided through a Jupyter notebook that enables users to upload multi-modal business documents and extract insights using BDA as a parser to retrieve relevant chunks and augment a prompt to a foundational model (FM).

Enterprise organizations increasingly rely on web-based applications for critical business processes, yet many workflows remain manually intensive, creating operational inefficiencies and compliance risks. Despite significant technology investments, knowledge workers routinely navigate between eight to twelve different web applications during standard workflows, constantly switching contexts and manually transferring information between systems. Data entry and validation tasks [...]

In this post, we explore how agentic QA automation addresses these challenges and walk through a practical example using Amazon Bedrock AgentCore Browser and Amazon Nova Act to automate testing for a sample retail application.

In this post, we demonstrate how to optimize large language model (LLM) inference on Amazon SageMaker AI using BentoML’s LLM-Optimizer to systematically identify the best serving configurations for your workload.

In this post, we explore how Mantle, Amazon’s next-generation inference engine for Amazon Bedrock, implements a zero operator access (ZOA) design that eliminates any technical means for AWS operators to access customer data.

Amazon Sidewalk is a shared, community-sourced network that leverages existing Amazon Echo and Ring devices as gateways to provide secure, low-power connectivity for IoT devices—enabling applications ranging from asset tracking and smart home security to remote diagnostics for appliances and tools. AWS IoT Core for Amazon Sidewalk device management is evolving to meet the needs [...]

Mainframe modernization is necessary for enterprises to increase agility, reduce costs, innovate, and mitigate business risks. Yet organizations face a significant hurdle during modernization: testing is critically important to validate modernized applications behavior, but it typically consumes more than half of project timelines and resources. As enterprises race to modernize their legacy systems, this testing [...]

In this post, we explore the new AWS AI League challenges and how they are transforming how organizations approach AI development. The grand finale at AWS re:Invent 2025 was an exciting showcase of their ingenuity and skills.

In this post, we demonstrate how to use Foundation Models (FMs) from Amazon Bedrock and the newly launched Amazon Bedrock AgentCore alongside W&B Weave to help build, evaluate, and monitor enterprise AI solutions. We cover the complete development lifecycle from tracking individual FM calls to monitoring complex agent workflows in production.

In this post, we share how dLocal worked closely with the AWS team to help shape the product roadmap, reinforce its role as an industry innovator, and set new benchmarks for operational excellence in the global fintech landscape.

In this post, we explore how Qbtech streamlined their machine learning (ML) workflow using Amazon SageMaker AI, a fully managed service to build, train and deploy ML models, and AWS Glue, a serverless service that makes data integration simpler, faster, and more cost effective. This new solution reduced their feature engineering time from weeks to hours, while maintaining the high clinical standards required by healthcare providers.

In this post, the first of a series of three, we focus on how you can use Amazon Nova to streamline, simplify, and accelerate marketing campaign creation through generative AI. We show how Bancolombia, one of Colombia’s largest banks, is experimenting with the Amazon Nova models to generate visuals for their marketing campaigns.

In this post, discover how Arcadia’s dashboard development suite, which is part of Arcadia SummitTM health data platform, harnesses the power of Amazon Quick Sight to drastically improve healthcare analytics.

In this post, we explore how AWS and Visa are partnering to enable agentic commerce through Visa Intelligent Commerce using Amazon Bedrock AgentCore. We demonstrate how autonomous AI agents can transform fragmented shopping and travel experiences into seamless, end-to-end workflows—from discovery and comparison to secure payment authorization—all driven by natural language.

Talkdesk Customer Experience Automation (CXA), built on AWS, transforms customer engagement through Agentic AI and large language models. This AI-powered platform helps enterprises automate outcomes, delivering personalized, intelligent service at scale through multi-agent orchestration and real-time data access. Organizations have achieved 50% faster resolution times, improved compliance, and accelerated deployment in regulated industries. By leveraging AWS’s scalable infrastructure, Talkdesk CXA enables consistent experiences across all channels, generates actionable insights, and significantly lowers cost-to-serve—enhancing both customer satisfaction and employee productivity across retail, financial services, healthcare, and public sector organizations.

Kiwa Digital partnered with Custom D to build CultureQ, a culturally governed platform for preserving Indigenous languages and knowledge. CultureQ is built using Caitlyn, Custom D’s white-label generative AI platform on AWS and powered by Amazon Bedrock. The solution enables secure, community-controlled access to trusted cultural resources while supporting language revitalisation in the digital age.