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Amazon Web Services
aws.amazon.com > blogs > machine-learning > democratizing-business-intelligence-bgls-journey-with-claude-agent-sdk-and-amazon-bedrock-agentcore

Democratizing business intelligence: BGL’s journey with Claude Agent SDK and Amazon Bedrock AgentCore

Democratizing business intelligence: BGL’s journey with Claude Agent SDK and Amazon Bedrock AgentCore4+ hour, 26+ min ago   (668+ words) This post is cowritten with James Luo from BGL. Data analysis is emerging as a high-impact use case for AI agents. According to Anthropic's 2026 State of AI Agents Report, 60% of organizations rank data analysis and report generation as their most…...

Amazon Web Services
aws.amazon.com > blogs > machine-learning > use-amazon-quick-suite-custom-action-connectors-to-upload-text-files-to-google-drive-using-openapi-specification

Use Amazon Quick Suite custom action connectors to upload text files to Google Drive using OpenAPI specification

Use Amazon Quick Suite custom action connectors to upload text files to Google Drive using OpenAPI specification5+ hour, 40+ min ago   (757+ words) This approach significantly reduces the technical barrier to entry for organizations while making sure they maintain control over security and access permissions. By using Amazon Quick Suite custom connectors, organizations can transform file management operations into simple, conversation-based interactions that…...

Amazon Web Services
aws.amazon.com > blogs > big-data > optimizing-flinks-join-operations-on-amazon-emr-with-alluxio

Optimizing Flink’s join operations on Amazon EMR with Alluxio

Optimizing Flink’s join operations on Amazon EMR with Alluxio6+ hour, 13+ min ago   (797+ words) We also introduce an optimized solution to automatically load Hive dimension table data into Alluxio Universal Flash Storage (UFS) through the Alluxio cache layer. This enables Flink to perform temporal joins on changing data, accurately reflecting the content of a…...

Amazon Web Services
aws.amazon.com > blogs > machine-learning > agentic-ai-for-healthcare-data-analysis-with-amazon-sagemaker-data-agent

Agentic AI for healthcare data analysis with Amazon SageMaker Data Agent

Agentic AI for healthcare data analysis with Amazon SageMaker Data Agent8+ hour, 32+ min ago   (1006+ words) In this post, we demonstrate, through a detailed case study of an epidemiologist conducting clinical cohort analysis, how SageMaker Data Agent can help reduce weeks of data preparation into days, and days of analysis development into hours'ultimately accelerating the path…...

Amazon Web Services
aws.amazon.com > blogs > database > optimize-llm-response-costs-and-latency-with-effective-caching

Optimize LLM response costs and latency with effective caching

Optimize LLM response costs and latency with effective caching1+ day, 4+ hour ago   (451+ words) You can implement two strategies for caching. The first, prompt caching, implements caching the dynamically created context or prompts invoked by your LLMs. The second, request-response caching, implements storing the request response pairs and reusing them in subsequent queries. For…...

Amazon Web Services
aws.amazon.com > blogs > big-data > federate-access-to-amazon-sagemaker-unified-studio-with-aws-iam-identity-center-and-ping-identity

Federate access to Amazon SageMaker Unified Studio with AWS IAM Identity Center and Ping Identity

Federate access to Amazon SageMaker Unified Studio with AWS IAM Identity Center and Ping Identity1+ day, 4+ hour ago   (761+ words) In this post, we show how to set up workforce access with SageMaker Unified Studio using Ping Identity as an external IdP with IAM Identity Center. We walk through the following high-level steps to implement this solution: For this walkthrough,…...

Amazon Web Services
aws.amazon.com > blogs > contact-center > deliver-hyper-personalized-recommendations-with-ai-agents-in-amazon-connect

Deliver hyper-personalized recommendations with AI agents in Amazon Connect

Deliver hyper-personalized recommendations with AI agents in Amazon Connect1+ day, 4+ hour ago   (790+ words) Amazon Connect customers can use enriched customer profiles with AI powered recommendations for common use cases such as: Here's a quick overview of all the steps to be followed For this walk through, it is assumed you have the following…...

Amazon Web Services
aws.amazon.com > blogs > machine-learning > how-clarus-care-uses-amazon-bedrock-to-deliver-conversational-contact-center-interactions

How Clarus Care uses Amazon Bedrock to deliver conversational contact center interactions

How Clarus Care uses Amazon Bedrock to deliver conversational contact center interactions1+ day, 8+ hour ago   (541+ words) This post was cowritten by Rishi Srivastava and Scott Reynolds from Clarus Care. The workflow consists of the following high-level steps: The models used for each specific function are described in solution detail sections. Some challenges the team tackled during…...

Amazon Web Services
aws.amazon.com > blogs > spatial > gpu-accelerated-robotic-simulation-training-with-nvidia-isaac-lab-in-vams

GPU-Accelerated Robotic Simulation Training with NVIDIA Isaac Lab in VAMS

GPU-Accelerated Robotic Simulation Training with NVIDIA Isaac Lab in VAMS4+ day, 4+ hour ago   (998+ words) The open-source Visual Asset Management System (VAMS) now supports GPU-accelerated reinforcement learning (RL) for robotic assets through integration with NVIDIA Isaac Lab. This pipeline enables teams to train and evaluate RL policies directly from their asset management workflow, leveraging AWS…...

Amazon Web Services
aws.amazon.com > blogs > machine-learning > simplify-modelops-with-amazon-sagemaker-ai-projects-using-amazon-s3-based-templates

Simplify ModelOps with Amazon SageMaker AI Projects using Amazon S3-based templates

Simplify ModelOps with Amazon SageMaker AI Projects using Amazon S3-based templates4+ day, 7+ hour ago   (499+ words) Managing ModelOps workflows can be complex and time-consuming. If you've struggled with setting up project templates for your data science team, you know that the previous approach using AWS Service Catalog required configuring portfolios, products, and managing complex permissions'adding significant…...