AWS Blogs on 🦋

aws.amazon.comVerify software supply chain security using AWS Nitro cryptographic verificationThis post demonstrates how to use Amazon Elastic Compute Cloud (Amazon EC2) instance attestation to produce cryptographically verifiable Amazon Machine Images (AMIs) for your DevSecOps platform and pipeline—the software factory that builds and delivers your workloads.

📰 New article by Cheyenne Lopez, Bardan Khatri, Hari Malayappan Verify software supply chain security using AWS Nitro cryptographic verification #AWS #PublicSector

aws.amazon.comBuilding a RAG architecture on Amazon Bedrock to support CJIS complianceAnalysts manually reviewing virtual reams of sensitive documents, looking for one key detail, need a more efficient way to search. They know generative AI must be able to do the job, but what they don’t know is whether they can apply generative AI to law enforcement data. You can, and Amazon Web Services (AWS) offers [...]

📰 New article by John Mathis Building a RAG architecture on Amazon Bedrock to support CJIS compliance #AWS #PublicSector

aws.amazon.comIntroducing Route 53 Resolved IP Validation for AWS Network FirewallYour workloads reach most destinations by domain name, but a firewall can only act on what it sees in the traffic. For HTTP and HTTPS, AWS Network Firewall domain rules match the name that the client puts in the request, and the client chooses that name. The connections for protocols such as SSH and SSH [...]

📰 New article by Lawton Pittenger, Amish Shah, Amit Gaur, Jesse Lepich, Preetkumar Shah Introducing Route 53 Resolved IP Validation for AWS Network Firewall #AWS #Security #Identity #Compliance

aws.amazon.comAI-enriched ingestion pipelines for searchable live and VOD media on AWSAs organizations adopt TAMS and cloud-centered workflows through the Amazon Web Services (AWS) Cloud-Native Agile Production (CNAP) program, the opportunity is clear: Make content discoverable by what it contains rather than how it was tagged. This post, which is Part 1 of a two-part series, describes how AI-powered ingestion pipelines analyze each piece of media at ingest time.

📰 New article by Mohan Kumar Guruswamy, Ankit Patel AI-enriched ingestion pipelines for searchable live and VOD media on AWS #AWS #Media

aws.amazon.comBuilding trusted AI with data and AI governance partners on AWSThe race to deploy agentic AI is outpacing the governance needed to put it into production – 74% of companies plan to deploy by 2027, yet only 21% have mature governance models. AWS launched GEAR (Governance Enabling Agentic Readiness) to close that gap, identifying partners whose governance accelerators compress months of setup into weeks and turn AI pilots into production-ready systems with measurable results.

📰 New article by Jessica Enzi, Gitika Vijh, Vitor Freitas Building trusted AI with data and AI governance partners on AWS #AWS #AWSPartnerNetwork

aws.amazon.comIntroducing the next generation of serverless time series for Amazon OpenSearch ServiceThe next generation of Amazon OpenSearch Service serverless now supports time series collections. Define the boundaries for cost, performance, security, access, and data retention using simple controls for data tiering, time field selection, and data retention, then turn raw events into insights with the next-generation OpenSearch UI.

📰 New article by Kevin Fallis Introducing the next generation of serverless time series for Amazon OpenSearch Service #AWS #BigData

aws.amazon.comFrom Problem to Fix in Minutes: Automating Search Relevance Tuning with the Amazon OpenSearch Service Relevance AgentThe Amazon OpenSearch Service Search Relevance Agent turns a low NDCG score into a better search query in minutes. Describe the problem through the Ask AI chat, and the agent analyzes your User Behavior Insights data, generates an improved query, and validates it with an offline Search Relevance Workbench experiment, all without leaving the UI.

📰 New article by Aruna Govindaraju, Sean Bjurstrom, Mingshi Liu From Problem to Fix in Minutes: Automating Search Relevance Tuning with the Amazon OpenSearch Service Relevance Agent #AWS #BigData

aws.amazon.comKnow Before You Go: An AWS Partner’s Guide to re:Invent 2026We’re excited to bring you AWS re:Invent 2026 both in-person and virtually! The conference is November 30 – December 4 in Las Vegas, with virtual opportunities to watch keynotes and Innovation Talks live. To help you prepare, we curated a list of key re:Invent information for AWS Partner and AWS Marketplace communities.

📰 New article by Andrew Somera Know Before You Go: An AWS Partner’s Guide to re:Invent 2026 #AWS #AWSPartnerNetwork

aws.amazon.comBring AWS Transform into GitHub Copilot with MCPIntroduction If GitHub Copilot is already part of your .NET workflow, you know how much it accelerates day-to-day coding. Now you can bring the power of AWS Transform (ATX) directly into that same workflow through the AWS Transform MCP server. AWS Transform is an agentic AI service that analyzes and transforms whole applications, infrastructure, and [...]

📰 New article by Ramkumar Ramanujam, Amir Haneef Bring AWS Transform into GitHub Copilot with MCP #AWS #DotNet

aws.amazon.comAWS named a Leader in the 2026 Gartner Magic Quadrant for Contact Center as a ServiceAWS has been named a Leader in the 2026 Gartner Magic Quadrant for Contact Center as a Service (CCaaS) for AWS Connect Customer. This recognition marks an important milestone for our team, and it reflects years of work pushing on what’s possible in customer experience.

📰 New article by Pasquale DeMaio AWS named a Leader in the 2026 Gartner Magic Quadrant for Contact Center as a Service #AWS #AI #MachineLearning

aws.amazon.comAWS becomes first CSP to complete the Cloud High profile assessment with 172 services and features in scopeWe continue to expand the scope of our assurance programs at Amazon Web Services (AWS) and are pleased to announce the successful completion of our first ever Cloud High (PBHH) security assessment with 172 assessed services and features. Completion of this assessment, effective September 18, 2026, makes AWS the first cloud service provider (CSP) in [...]

📰 New article by Naranjan Goklani AWS becomes first CSP to complete the Cloud High profile assessment with 172 services and features in scope #AWS #Security #Identity #Compliance

aws.amazon.comRegister now: Updated Developer Associate and Solutions Architect Professional examsRegistration is now open for two updated exams: AWS Certified Developer – Associate (DVA-C03) and AWS Certified Solutions Architect – Professional (SAP-C03).

📰 New article by Lauren Ebbin Register now: Updated Developer Associate and Solutions Architect Professional exams #AWS #Training #Certification

aws.amazon.comPublishing LMS courses with a Kiro SCORM pipelineSee how to use Kiro, an agentic AI, to automate converting raw training material into compliant SCORM packages that are ready to upload to a learning management system (LMS).

📰 New article by Omar Gonzalez Publishing LMS courses with a Kiro SCORM pipeline #AWS #Architecture

aws.amazon.comBuilding document-investigation agents with Amazon Bedrock AgentCore and Amazon S3 FilesLearn how an AWS Lambda function and an Amazon Bedrock AgentCore agent investigate a folder of related documents together through a shared Amazon S3 Files file system, using ordinary file operations instead of object download and upload code.

📰 New article by Ben Freiberg, Nithin Chandran Rajashankar Building document-investigation agents with Amazon Bedrock AgentCore and Amazon S3 Files #AWS #Compute

aws.amazon.comVessel-specific voyage optimization with machine learning: Manta on AWSManta Marine Technologies closes the gap between seemingly identical ships by training machine learning models on each vessel’s own operational history. Learn how Manta delivers vessel-specific voyage optimization on AWS to help shipowners reduce fuel consumption and improve voyage efficiency.

📰 New article by Borja Rojo, Gonzalo Montero Villar, Harkamal Singh, Mario Troiano Vessel-specific voyage optimization with machine learning: Manta on AWS #AWS #Architecture

aws.amazon.comHow Anchorage Digital and Turnkey verify code with AWS Nitro EnclavesAnchorage Digital and Turnkey built verifiable infrastructure on AWS Nitro Enclaves so crypto wallets can cryptographically verify which code parsed a transaction. This post covers the architecture, the attestation-gated access pattern, and how it extends to any high-trust workflow beyond blockchain.

📰 New article by Alexander Qin, Arnaud Brousseau, Prasanna Gautam How Anchorage Digital and Turnkey verify code with AWS Nitro Enclaves #AWS #Architecture

aws.amazon.comPart 3 – Cybersecurity journeys: The work behind the workThe most important work I’ve done in cybersecurity would make for terrible television. There were no countdown clocks and no frantic typing, just a lot of careful reading, a lot of hard conversations, and the occasional quiet moment where everything finally clicked. That’s the part I want to show you this week, because the three [...]

📰 New article by Shannon Brazil Part 3 – Cybersecurity journeys: The work behind the work #AWS #Security #Identity #Compliance

aws.amazon.comAnnouncing SOCI-indexed images for faster SageMaker AI jobsSeekable OCI (SOCI) indexing for Amazon SageMaker AI training and processing jobs takes full container image download off the critical path. SageMaker AI lazy-loads your image to start containers in seconds instead of minutes, with no changes to your job definition. See the benchmarks and how to adopt it.

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📰 New article by Kanwaljit Khurmi, Deep Shah, Michael Oguike, Mona Mona Announcing SOCI-indexed images for faster SageMaker AI jobs #AWS #AI #MachineLearning

aws.amazon.comFix evaluation bias to unlock better models on Amazon BedrockProperty Finder found that 96.8% of their vision-AI evaluation labels were inherited from the incumbent model, hiding its true accuracy. See how they built unbiased ground truth, applied evolutionary prompt optimization, and selected a more accurate, cost-effective model on Amazon Bedrock, cutting cost by 86% across 11 image-quality attributes.

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📰 New article by Khaled Thabit, Meriem Boughrara, Mina Metias, Mohamed Desouky, Mohamed Noordeen Alaudeen, Vadim Selyutin Fix evaluation bias to unlock better models on Amazon Bedrock #AWS #AI #MachineLearning

aws.amazon.comExowatt beats frontier models on accuracy with SageMaker serverless model customizationIn this post, we show how Exowatt used Amazon SageMaker AI serverless model customization to build a repeatable AI pipeline that produces task-specific fine-tuned models for two deployment targets, edge and cloud, achieving higher accuracy than frontier models at up to 49x lower cost.

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📰 New article by Purna Sanyal, Felipe Arce, Jingchao Yang, Tim Child Exowatt beats frontier models on accuracy with SageMaker serverless model customization #AWS #AI #MachineLearning

aws.amazon.comHow to prepare for the proposed HIPAA Security Rule update with AWS Backup and the HIPAA AssistantIn this post, we summarize what HHS has proposed, when it is likely to matter, and how to use Amazon Web Services (AWS) to close the gaps now. We cover how AWS Backup maps to the three proposed backup and recovery obligations, and we introduce the HIPAA Assistant, an open source sample from AWS that reviews your infrastructure-as-code and application code for Security Rule gaps and cites each finding to the exact paragraph of the regulation.

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📰 New article by Harshvardhan Chunawala, Alket Memushaj, Dom Ricigliano, Luka Ralic How to prepare for the proposed HIPAA Security Rule update with AWS Backup and the HIPAA Assistant #AWS #Industries

aws.amazon.comA practical guide to connecting rural and remote sites to AWSThis post will explore how to navigate those constraints and build resilient connectivity patterns that allow agencies to run production workloads on AWS.

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📰 New article by Caleb Grode, Nick Kniveton A practical guide to connecting rural and remote sites to AWS #AWS #PublicSector

aws.amazon.comDeploy Blazor Server applications on Amazon ECS with AWS FargateWhen modernizing legacy ASP.NET Web Forms applications with tools such as AWS Transform, Blazor Server is often recommended as the target framework. With Blazor, you gain a familiar component-based programming model – but you also inherit a deployment challenge. Blazor Server maintains a persistent WebSocket connection and an in-memory circuit for each browser session, which [...]

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📰 New article by Mayank Kumar, Bibhuti Sahu Deploy Blazor Server applications on Amazon ECS with AWS Fargate #AWS #DotNet

aws.amazon.comSpec first: spec-driven development for SAP ABAPAI coding agents can generate ABAP in minutes, but without a spec, the next developer has no record of why the code was built that way. Most ABAP teams today use vibe coding to write and modernize SAP ABAP code. You get results faster, but the development decisions behind the code are lost, making it [...]

📰 New article by Stephan Kremer, Adren D Souza Spec first: spec-driven development for SAP ABAP #AWS #SAP

aws.amazon.comIntroducing AWS Coding Plugin for SAP ABAP, powered by KiroEnterprise developers writing SAP ABAP code must implement and transform business logic in a complex, integrated system. To address this challenge, ABAP developers need AI coding tools centered on solving business requirements, in a collaboration between the agent and the developer. Spec-driven development (SDD) is a disciplined methodology that puts business requirements first. In 2025, [...]

📰 New article by Jon Friesen Introducing AWS Coding Plugin for SAP ABAP, powered by Kiro #AWS #SAP

aws.amazon.comAI-enabled ECU validation on AWS using Corellium Atlas virtual ECUsAutomotive firmware teams face a structural bottleneck: physical electronic control unit (ECU) hardware doesn’t scale at the pace of software development. Waiting for hardware access creates delayed test cycles, late defect detection, and limited parallel coverage across Software Defined Vehicle (SDV) programs.

📰 New article by Brunilda Caushi, Jason Yamada, Sundaresan Ramakrishnan, Vijay Karri AI-enabled ECU validation on AWS using Corellium Atlas virtual ECUs #AWS #Industries

aws.amazon.comYour AWS Networking and Content Delivery guide to re:Invent 2026The AWS Networking and Content Delivery (CDN) team invites you to join us at re:Invent from November 30 through December 4 2026. During that time, Las Vegas, Nevada becomes the ultimate destination for cloud innovation, and there is no better time to look ahead at where cloud networking is going. Across five action-packed days you [...]

📰 New article by Rick Armstrong Your AWS Networking and Content Delivery guide to re:Invent 2026 #AWS #Networking #CDN

aws.amazon.comMigrate production SMS traffic to a short code with AWS End User MessagingMigrating production SMS traffic to a short code means carrying opt-out records, keyword configurations, and two-way messaging across originator types that carriers treat as independent senders. This post covers opt-out list migration, keyword handoff, carrier behavior, and a phased cutover with AWS End User Messaging SMS.

📰 New article by Harshvardhan Chunawala, Brett Ezell, Zip Zieper Migrate production SMS traffic to a short code with AWS End User Messaging #AWS #Messaging #Targeting

aws.amazon.comOperating in the agentic era: AIOps sessions at re:Invent 2026Telemetry volume and incident counts keep growing while operations headcount stays flat, and coding tools now produce changes faster than most release processes can review them. The AIOps topic on the re:Invent 2026 Cloud Operations (COP) track covers how AI agents handle operational work: investigating incidents, recommending fixes, reviews code changes to catch issues before [...]

📰 New article by Matheus Arrais Operating in the agentic era: AIOps sessions at re:Invent 2026 #AWS #Management #Governance

aws.amazon.comData governance with annotations in Amazon S3Attach governance context such as classification, retention, residency, and PII flags directly to your Amazon S3 objects with S3 annotations. This post walks through the end-to-end pattern and the handful of S3 behaviors that decide whether your governance design is correct.

📰 New article by Aditya Jain Data governance with annotations in Amazon S3 #AWS #Architecture

aws.amazon.comFleet-wide computer vision lifecycle at the edge with SageMaker SDK v3Fleet-wide computer vision needs a model per camera, not one model for the whole fleet. This post presents a working Amazon SageMaker SDK v3 reference architecture that trains, quality-gates, compiles per-camera models with SageMaker Neo, and versions thousands of them, with an AWS Step Functions layer pacing fleet-scale retraining within account quotas.

📰 New article by Kiowa Jackson Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3 #AWS #AI #MachineLearning

aws.amazon.comRecommended resilience testing in the next generation of AWS Resilience HubThe next generation of AWS Resilience Hub introduces recommended resilience testing: four pre-configured, AWS FIS-powered tests that validate how your service detects and recovers from failures across Availability Zones, dependencies, and Regions, turning your resilience policy into evidence-backed pass or fail results.

📰 New article by Jennifer Moran, Imran Sadiq Recommended resilience testing in the next generation of AWS Resilience Hub #AWS #Architecture

aws.amazon.comMeasuring developer experience on an Amazon EKS developer platformMost platform teams can’t prove their internal developer platform is improving software delivery. This post shows how to automatically collect the four DORA metrics (deployment frequency, lead time for changes, change failure rate, and failed deployment recovery time) on an Amazon EKS platform using Argo CD, Argo Rollouts, Apache DevLake, and Grafana.

📰 New article by Zachary Jacobson, Elamaran Shanmugam Measuring developer experience on an Amazon EKS developer platform #AWS #Containers

aws.amazon.comGroundhog Day for AI agents: Prompt caching patterns for using OpenAI models on Amazon BedrockEvery time an agent takes a step, it re-reads its entire context before acting. Here is how prompt caching for OpenAI models on Amazon Bedrock lets your agent remember, cutting input cost and latency without resending the same tools, instructions, and history every turn.

📰 New article by Claudio Mazzoni Groundhog Day for AI agents: Prompt caching patterns for using OpenAI models on Amazon Bedrock #AWS #AI #MachineLearning

aws.amazon.comThe New York Times cut Oracle migration time from 18 to 5 monthsLearn how The New York Times migrated its PLATO subscription revenue engine from Oracle to Amazon Aurora PostgreSQL in about 5 months instead of 18, using an AI-agent-native approach on Amazon Bedrock with AWS DMS to automate schema conversion and multi-language code remediation at enterprise scale.

📰 New article by Eli DOE, Rohit Arora, Shashank Nigam, Manoj Duvva The New York Times cut Oracle migration time from 18 to 5 months #AWS #Databases

aws.amazon.comTracing failures across Terraform state boundaries with AWS DevOps AgentWhen a change in one Terraform stack silently breaks an application in another, the team seeing the symptoms often doesn’t own the stack that caused it. This post shows how AWS DevOps Agent traces the root cause across Terraform state boundaries, then pairs with Kiro to generate the fix.

📰 New article by Shruti Saxena Tracing failures across Terraform state boundaries with AWS DevOps Agent #AWS #DevOps #DeveloperProductivity

aws.amazon.comHow Vestiaire Collective achieved near-zero downtime RDS for MariaDB upgrades with Amazon RDS Blue/Green DeploymentsVestiaire Collective, a global platform for pre-owned luxury fashion, achieved near-zero downtime upgrading its Amazon RDS for MariaDB fleet across two major versions. Learn how the team used Amazon RDS Blue/Green Deployments with AWS Countdown Premium to deliver a 94-second and then a 7-second switchover during peak sales season.

📰 New article by Ejaz Azeem, Ryan Moore, Yala El Feghaly How Vestiaire Collective achieved near-zero downtime RDS for MariaDB upgrades with Amazon RDS Blue/Green Deployments #AWS #Databases

aws.amazon.comBuild agentic retrieval on a Managed Amazon Bedrock Knowledge Base with CDKBuild enterprise agentic retrieval on a Managed Amazon Bedrock Knowledge Base with the AWS CDK: an agent that routes across two knowledge bases, retrieves through the AgentCore Gateway, and returns grounded, cited answers, with seven layers of observability and both on-demand and continuous evaluation, all deployed as a single CDK application.

📰 New article by Prabhakar Chandrasekaran, Siddhant Sahu Build agentic retrieval on a Managed Amazon Bedrock Knowledge Base with CDK #AWS #AI #MachineLearning

aws.amazon.comEmbracing Observability for the AI era at re:Invent 2026As organizations continue to scale their cloud presence and bring AI agents into production, effective operations become increasingly critical for success. The AWS re:Invent 2026 Cloud Operations track brings together industry experts, AWS leaders, and customers to share how they modernize monitoring and observability for applications and the AI agents now running alongside them. This [...]

📰 New article by Jean Velez Torres Embracing Observability for the AI era at re:Invent 2026 #AWS #Management #Governance

aws.amazon.comBuild a digital assets exchange on AWS: A reference architectureA production-grade reference architecture for running a centralized digital assets exchange on AWS, aggregating patterns validated across multiple production deployments: AWS Organizations structure, the low-latency matching-engine hot path, the data layer, custody, blockchain node connectivity, and market-maker integration.

📰 New article by Nikolay Vlasov, Angga Pradikta, David Sung Build a digital assets exchange on AWS: A reference architecture #AWS

aws.amazon.comBuilding decentralized perpetual futures exchanges on AWSPerpetual futures DEXs deliver leveraged, non-custodial trading with on-chain settlement. This post walks through common architecture patterns for modern perpetual DEXs, hybrid and fully on-chain, and the AWS services that build the decentralized, secure, and scalable infrastructure to run them.

📰 New article by Nile Natsheh, Xuesong Xiao, David-Paul Dornseifer, Anirudh Marc J Building decentralized perpetual futures exchanges on AWS #AWS

aws.amazon.comAWS Weekly Roundup: Amazon Polly Generative engine, TorchNeuron for Trainium, and more (October 26, 2026)A few weeks ago I presented to a small group of commercial and technology leaders from Brazilian agribusiness at the AWS office in São Paulo. My talk ran through where generative AI fits across the different stages of an agribusiness operation, and the point I kept returning to is that the markets we call traditional [...]

📰 New article by Daniel Abib AWS Weekly Roundup: Amazon Polly Generative engine, TorchNeuron for Trainium, and more (October 26, 2026) #AWS #News

aws.amazon.comUnderstanding AWS Savings Plans Recommendations: Management vs. Member Account ViewsIf you are managing a multi-account AWS Organization, you might have noticed that Savings Plan recommendations differ between management account (also known as payer account) and member account (also known as linked account). Consider this scenario: you are reviewing Savings Plan recommendations in the AWS Billing and Cost Management Console. At the management account level, you see a recommended commitment of $100 per hour for a one-year no-upfront Compute Savings Plans. However, when you switch to the member account view, the recommendations total only $70 per hour. This blog post explains these differences and shares best practices for making informed decisions on purchasing Savings Plans.

📰 New article by Rob Yang Understanding AWS Savings Plans Recommendations: Management vs. Member Account Views #AWS #AWSCloudFinancialManagement

aws.amazon.comAI-enabled genomic pattern discovery in Epstein-Barr virus on Amazon EC2This post, which details a collaboration between a national genomics research institute and Temus using Amazon Web Services (AWS), demonstrates the power of combining deep bioinformatics with advanced AI models and machine learning methods in a scalable AWS environment to uncover novel patterns in complex viral genomes. In this post, we explore the details of a scalable proof of concept (POC) pipeline built on AWS that uses an advanced genomic foundation model and unsupervised clustering to transform raw genomic sequences into signals for further research.

📰 New article by Dr. Nandini Sahu, Dr. Charlie Lee, Eddie Chin, Mike Lim AI-enabled genomic pattern discovery in Epstein-Barr virus on Amazon EC2 #AWS #PublicSector

aws.amazon.comPractical digital sovereignty: Building a sovereign landing zone on AWSIn this post, we translate pillars into a deployable cloud foundation, focusing on the key postures of security, identity management, governance, network design, resilience, continuity, auditability, and operational independence.

📰 New article by Damian Randell, Mohan CV Practical digital sovereignty: Building a sovereign landing zone on AWS #AWS #PublicSector

aws.amazon.comHow the NBA future-proofed its digital infrastructure in 6 monthsEvery July, National Basketball Association (NBA) rookies make their debut at Summer League in Las Vegas. When the basketball universe made its annual pilgrimage to Vegas in 2025, the players weren’t the only ones stepping into a new system under pressure.

📰 New article by Fausto Toussaint, Mike Lally How the NBA future-proofed its digital infrastructure in 6 months #AWS #Media

aws.amazon.comModernize legacy telecom automation at scale with AWS TransformIn this post, you walk through a telco use case, modernizing an automation project built with TCL and Expect — a TCL extension for automating interactive command-line sessions — to Python 3.12 using a custom transformation definition. The same methodology applies to any legacy modernization effort in your organization.

📰 New article by Varun Sharma, Gouthami Gurram Modernize legacy telecom automation at scale with AWS Transform #AWS #Industries

aws.amazon.comAI as force multiplier: Practical AI governance for HCLS security teamsAI handles triage while analysts handle judgment. And, by coupling automated continuous monitoring with AI system connectivity, recovery time can speed up, resulting in fewer after-hours status calls. Your existing Amazon Web Services (AWS) environment already has access to the capabilities that can make this a reality.

📰 New article by Adam Birnbaum AI as force multiplier: Practical AI governance for HCLS security teams #AWS #PublicSector

aws.amazon.comBuild RAG-ready indexes from Amazon S3 with Amazon OpenSearch intelligent ingestionAmazon OpenSearch intelligent ingestion is a fully managed, serverless capability that turns documents and structured data in Amazon S3 into RAG-ready, searchable indexes with no pipelines to manage. Learn how it works and when to use Ingestion Jobs or Ingestion Streams.

📰 New article by Hang Zuo, David Venable Build RAG-ready indexes from Amazon S3 with Amazon OpenSearch intelligent ingestion #AWS #BigData