Tag: best practices

This post demonstrates PacBio’s whole genome sequencing variant pipeline implementation on AWS HealthOmics, offering performance optimization insights and evidence-based recommendations for cost-effective deployment at scale based on extensive benchmarking.

The shift to cloud-based Contact Center as a Service (CCaaS) solutions offers significant opportunities for public sector organizations to transform their operations, reduce costs, and improve citizen services. Amazon Web Services (AWS) provides innovative cloud technologies like Amazon Connect that can help organizations achieve these goals. However, traditional procurement approaches may not be well-suited for acquiring these modern cloud technologies. To help organizations navigate this transition, we’ve identified six key considerations when procuring a CCaaS solution like Amazon Connect.

AWS recommends that organizations prepare to recover workloads in case of cybersecurity incidents or business continuity events such as technical or natural disasters. In this post, we offer guidance and strategies for public sector organizations to use AWS infrastructure to operate resilient systems in the cloud.

In this post, we explore how to build a sophisticated meeting transcription and analysis platform using AWS services, designed specifically for the scientific community. Our solution combines the power of AWS Transcribe, Amazon Bedrock, and other Amazon Web Services (AWS) services to create an intelligent tool that transforms how researchers document and analyze their discussions.

A newly released guide by AWS titled “Resilient Healthcare through Cloud: A Strategy and Policy Guide” provides a comprehensive framework for enhancing healthcare resilience through cloud computing while meeting regulatory requirements and improving patient outcomes. Read this post to learn more.

In this post, you will learn how AWS technologies support the entire autonomous system lifecycle from AI-powered design and virtual prototyping in pre-deployment, to edge computing through services like AWS IoT Core and AWS IoT Greengrass and related solution guidance like Tactical Edge Application Deployment on AWS and Cloud Edge Global Access (CEGA) during deployment, through real-time mission operations, and finally to post-mission evolution using secure over-the-air updates and predictive maintenance.

As more and more public sector organizations deploy generative AI workloads, we are increasingly asked what can be done to make sure that these workloads are resilient to failures. In this post, we discuss the key factors that mission-based organizations should consider so that their generative AI workloads are resilient to failures.

By using generative AI, government agencies can analyze large amounts of data to identify patterns and insights, streamline manual processes, and deliver faster, personalized, more accessible services to citizens while maintaining the highest standards of accuracy and compliance. Read this post to learn more.

International growth represents a huge potential for AWS Partners. This post covers technical considerations for partners expanding their services to new geographical regions and explains how AWS can assist.

As state and federal organizations increasingly explore generative AI implementations using Amazon Bedrock, they face a critical challenge: accurately estimating the costs associated with these workloads. In this post, we cover details about estimating costs on Amazon Bedrock.