AWS Blogs

The integration of Flywheel with Amazon S3 offers a powerful solution for streamlining medical imaging workflows. This combination enables healthcare organizations to efficiently manage, analyze, and share vast amounts of imaging data while significantly reducing costs and preparation time.

AWS announces the general availability of AWS Transform for mainframe, a new service that accelerates mainframe modernization using specialized AI agents. This blog showcases how AWS Partners are leveraging the service to streamline customer migrations, reducing transformation timelines from years to months while addressing traditional modernization challenges around speed, complexity, and skills gaps.

BMC's HelixGPT, combined with Amazon Web Services, can transform IT operations by reducing Mean Time To Repair (MTTR) and enhancing decision-making processes.

Discover how HERE Technologies and AWS are revolutionizing sustainable transportation and logistics through advanced location intelligence. This blog explores how cutting-edge location based solutions, built on AWS, optimize fleet operations, reduce emissions, and improve efficiency. Learn about smart route optimization, real-time tracking, and weather-informed decision-making that can help businesses achieve up to 20% reduction in route times, fuel costs, and carbon footprint while meeting the demands of a global economy.

This post explains how Shorthills AI’s collaboration with AWS and DataStax’s Astra DB employs advanced search technologies and natural language processing for enterprise search. This collaboration supports customers making data driven business decisions by leveraging AWS’s enterprise-grade security features alongside DataStax’s high-performance vector search capabilities.

This post will explore what a composable CDP is and why organizations are embracing this new approach to data activation. Additionally, it will explain how organizations can integrate GrowthLoop’s composable CDP platform with their existing AWS infrastructure to enable an AI-powered feedback loop for smarter campaign activation.

To help service providers offer a seamless way to manage their customers' backup repositories, Veeam introduced Cloud Repository, an off-site backup location in the cloud. Service providers can start providing Cloud Repository to customers by deploying a Veeam Cloud Connect (VCC) server, which supports multi-tenancy, encryption, and other features for service providers. This blog post provides an overview on how Veeam service providers can configure a BaaS platform in AWS and provide an off-site backup solution to protect any type of workload – virtual, physical, or cloud.

The growing demand for generative AI (GenAI) applications has led to a corresponding demand for compute resources that can run these workloads efficiently. In this post we share a step-by-step guide for optimizing GenAI inference workloads using AWS Graviton-based instances. We walk you through downloading Arcee AI SLMs, applying quantization techniques, and deploying models for efficient inference on AWS Graviton instances.

Discover how HashiCorp's HCP Vault Radar helps organizations combat secret sprawl by providing automated detection and analysis of secrets across enterprise environments. Learn how this AWS Marketplace solution integrates with AWS services like Systems Manager Parameter Store and S3 to enhance security posture and maintain compliance through continuous scanning and remediation capabilities.

Aizon Execute, an intelligent Batch Record (iBR) SaaS platform built on AWS, helps pharmaceutical manufacturers transition from inefficient paper-based batch records to digital documentation. Aizon Execute enable them to reduce manufacturing costs by 20-30% and unlock up to $100 billion in manufacturing optimization potential. The platform's 90-day implementation process digitalizes batch records, accelerates compliance, improves operational efficiency, and provides real-time data visibility for proactive decision-making, as demonstrated by successful implementations like Euroapi's transformation from paper-based processes to digital innovation.

By Valeriy Leykin, Senior Product Manager – Dynatrace By Erick Leon, Senior Manager Global Tech Alliances – Dynatrace By Shashiraj Jeripotula, Principal Partner Solutions Architect – AWS Dynatrace In complex cloud environments, security findings are often siloed across build-time and runtime tooling, and spread across various environments. Therefore, obtaining a holistic view of your security

Hyper-personalization is transforming digital marketing and enhancing customer experience. This blog post explains how the Braze customer engagement platform, augmented by Amazon Web Services (AWS) Generative AI services, revolutionizes your brand-customer interactions. By integrating Braze with AWS's advanced AI capabilities, you can forge more meaningful, real-time connections with your customers. Using Amazon Bedrock, Braze creates highly personalized content that adapts to your customers' individual preferences and behaviors in real time. This approach facilitates tailored messaging, recommendations, and interactions that resonate deeply with each user, driving immediate engagement, long-term loyalty, and revenue growth. In this post, we'll explore how strategically integrating Braze and AWS transformed customer engagement strategies, fostering a more personalized and profitable customer journey.

Learn how Temporal's workflow engine, powers resilient applications, ensuring consistency and automatic recovery during system failures. In this post we will examine distributed system challenges and demonstrate how Temporal's solution, on AWS, enables durable execution across organizations.

Dataddo simplifies data integration on AWS through its comprehensive feature set. The platform includes pre-built AWS connectors and fully managed pipelines for seamless integration. Its coding-optional interface enables both technical and non-technical users to manage data workflows effectively. The built-in quality and compliance mechanisms further streamline operations, significantly reducing the engineering resources needed for data processing. This allows both, data teams and business teams to focus on deriving meaningful value from their data.

Data governance becomes increasingly important for Customers building large data lakes on Amazon Web Services (AWS) to democratize their access to data. AWS Lake Formation provides fine-grained data access permissions for AWS services like Amazon Redshift, Amazon Athena, and Amazon EMR. Dremio supports AWS Lake Formation data governance framework to create a consistent governance model for enterprise customers.

We are excited to highlight 194 AWS Partners that received new or renewed specializations in April for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

Modern organizations face challenges managing secrets across multiple environments, leading to security risks and operational complexities due to secrets sprawl across various storage locations and systems. Pulumi ESC provides a comprehensive solution by acting as a secure broker between applications and secrets providers, offering centralized control, robust Role-Based Access Control (RBAC), and seamless integration with cloud services like AWS Secrets Manager and Systems Manager Parameter Store, ultimately helping organizations enhance security while maintaining developer productivity.

As organizations rapidly adopt generative AI models in enterprise workflows, they face increasing security risks such as prompt injection attacks, model poisoning, and data extraction vulnerabilities. This blog demonstrates how Protect AI's Guardian and Recon tools integrate with Amazon Bedrock to secure DeepSeek model deployments.

Explore how ServiceNow’s Cloud Account Management (CAM) provides visibility across customers AWS environments to solve common cloud management challenges and help IT Operations teams deliver a more controlled, cost-efficient, and compliant cloud environments. CAM supports critical functions like account suspension, reactivation, and certification to ensure compliance with security and governance standards. By automating workflows and providing visualization tools, ServiceNow CAM enhances operational efficiency, reduces manual overhead, and strengthens security for managing AWS Accounts at scale

This blog post shows how Infor uses generative AI services on Amazon Web Services (AWS) to help customers speed up productivity and solve industry-specific challenges