Category: Compute

Technology Innovation Institute (TII), an AWS Partner in the Middle East, advances privacy-preserving AI with their enhanced Federated Learning solution, PetalGuard. The solution enables organizations to collaborate on AI model development while maintaining strict data privacy and regulatory compliance. Learn how PetalGuard this development exemplifies TII’s position as a leading technology innovator in the Middle East and demonstrates the value of our strategic collaboration in delivering cutting-edge solutions for privacy-preserving AI development.

Legacy COBOL applications can be modernized and expanded with AI and ML using Amazon EKS. By containerizing COBOL applications and running them on EKS, organizations can preserve their existing critical systems logic while adding advanced cloud capabilities like flexibility, scalability, and efficiency—without starting from scratch.

Artificial intelligence (AI) and Large Language Models (LLMs) are driving efficiency gains across the financial services and banking industry. Aisera’s AI Agent Platform, powered by AWS, is transforming financial services operations through domain-specific LLMs and AI agents. Learn how Aisera’s domain-specific LLMs and AI agents help customers achieve efficiency gains and improve customer service delivery through multi-agent collaboration.

Life sciences organizations invest significantly in real-world data (RWD), yet face persistent challenges in turning these investments into actionable insights. Panalgo’s IHD Cloud platform on AWS addresses these challenges by deploying advanced analytics capabilities directly within customers’ secure environments. Through this approach, organizations have reduced analysis time from months to days while maintaining strict data security and regulatory compliance standards.

Platform teams must balance rapid development with secure and compliant infrastructure in cloud computing environments. StackGen, an AWS Advanced Technology Partner, offers a solution that transforms manually created cloud environments into repeatable Infrastructure as Code while automatically enforcing security policies. The platform helps organizations reduce provisioning time by 75% while maintaining complete security coverage through automated policy enforcement and standardized templates.

Learn how Moneythor’s solution on AWS lowers customer acquisition cost and increases customer engagement through personalization and gamification in financial services by leveraging Amazon EKS, Amazon RDS and Amazon Bedrock.

Discover how Console Connect, an AWS Direct Connect Partner, is simplifying hybrid edge infrastructure with AWS Outposts and Local Zones. Learn about flexible connectivity models that reduce complexity and costs while extending low-latency, private edge connectivity for AWS customers worldwide.

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.

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.