Category: Analytics

The Amazon Web Services (AWS) Open Data Sponsorship Program has hosted the Common Crawl open repository of web data at no cost since January 2012. It has become one of the most important sources of training data for the large language models (LLMs) reshaping industries. This is the story of a 14-year collaboration between a small nonprofit and AWS, and how open data infrastructure became the foundation of the AI era.

This post shows how to build that on Amazon Web Services (AWS) using Amazon Bedrock, deployed in AWS GovCloud (US). You’ll deploy a working multi-agent workload, see how a supervisor coordinates specialized agents through the Converse API in Amazon Bedrock, and learn which AWS GovCloud (US) details break patterns copied from commercial Regions.

In this post, we walk through the evidence pipeline, from Amazon Web Services (AWS) Config evaluations and AWS Security Hub findings through transformation and storage, to producing the dual-format output that satisfies FedRAMP 20x Phase 2 completeness requirements.

Israel’s Ministry of Finance wanted to strengthen the way it supports tax revenue forecasting. The Ministry worked with Amazon Web Services (AWS) Professional Services Israel to develop an automated solution that evaluates several modeling approaches, uses wider data sources, and helps economists analyze forecasting faster.

In this post, we explain what IL5 requires, how AWS GovCloud (US) and SAP NS2 meet those requirements together, and how defense organizations can get started.

This post explores how an agentic AI architecture on Amazon Web Services (AWS) modernizes the procurement lifecycle from solicitation to proposal evaluation while maintaining compliance with government regulations including United States of America FAR (Federal Acquisition Regulation),United States of America DFARS (Defense Federal Acquisition Regulation), and Canadian procurement frameworks (Public Service Procurement Canada (PSPC) /Shared Services Canada (SSC).

In this post, we walk through three extended capabilities of Amazon S3: Amazon S3 Metadata, Amazon S3 Vectors, and Amazon S3 Tables and explore how each maps to real challenges government agencies face today.

This post presents two complementary patterns for implementing per-user token guardrails on Amazon Bedrock from Amazon Web Services (AWS).

This post introduces the Geospatial Power Pack, a Kiro power package that turns Kiro into a unified, AI-assisted geospatial workspace. Kiro is an agentic development environment created by Amazon Web Services (AWS). It helps developers and teams turn prompts into executable specs, validate code correctness to find bugs that unit tests miss, and build across large codebases with parallel agents that learn from every session.

The Amazon Web Servies (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets freely available for analysis, helping researchers and developers worldwide access critical data without cost barriers.