AWS Partner Network (APN) Blog

Tag: Amazon ECR

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Accelerate Computer-Aided Engineering Workloads with Hybrid Cloud HPC Scenarios

As a long-standing partner of automotive and life science companies, the Atos Science + Computing Unit specializes in providing customers with tailor-made and demand-driven HPC solutions. Learn about two hybrid HPC deployments that are transparently integrated with the traditional workload manager that controls existing on-premises HPC resources, and how they are distinguished by entirely different approaches.

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Accelerating Genomics and High Performance Computing on AWS with Relevance Lab Research Gateway Solution

Running genomics and high performance computing (HPC) workloads is complicated. To address these customer asks, Relevance Lab developed Research Gateway—a solution that delivers secure and scalable research without customers having to do the heavy lifting. This post provides an overview of the solution architecture and standard genomic research workflow, including a walkthrough of how to access Research Gateway, provision products required for their genomics sequencing analysis, and run the analysis.

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Parentsmile Launches First Family Care SaaS Platform on AWS with Support from ZERO12

Looking for qualified support for a parent is a hard task and often a leap in the dark. Parentsmile is a unique reservation platform that integrates healthcare, training, educational, and all-encompassing psychophysical well-being services. This post demonstrates how ZERO12 built Parentsmile’s SaaS platform; exploring the main infrastructure with Amazon Elastic Container Service (Amazon ECS), the continuous integration and continuous delivery (CI/CD) process, and the asynchronous workflow for payments and reminders.

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Agile Transformation of an Automotive Dealer Application for Scalability and Availability with AWS

There is a growing need for automotive dealers to adopt innovative technology to transition into the digital era smoothly, as customers are leaning towards secure, cloud-native solutions with modern features that are backed by superior support. Learn how Tech Mahindra transformed a monolithic application into a resilient and reliable solution to support expanding dealer networks. To build this cloud-native transformation approach, Tech Mahindra used AWS and a microservices-based API-first architecture.

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Reimagining Digital Transformation with Capgemini’s Digital Cloud Platform for Restaurants on AWS

The restaurant industry is experiencing an unprecedented transformational change. Elevated expectations for cleanliness, health, and safety are accelerating the adoption of contactless technologies, curbside pickup options, and mobile payments. Learn how Capgemini’s Digital Cloud Platform (DCP) for Restaurants empowers the industry to reimagine digital transformation by delivering compelling customer interaction and streamlined operations while reducing costs and improving efficiency.

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Implementing a Multi-Tenant MLaaS Build Environment with Amazon SageMaker Pipelines

Organizations hosting customer-specific machine learning models on AWS have unique isolation and performance requirements and require a solution that provides a scalable, high-performance, and feature-rich ML platform. Learn how Amazon SageMaker Pipelines helps you to pre-process data, build, train, tune, and register ML models in SaaS applications. We’ll focus on best practices for building tenant-specific ML models with particular focus on tenant isolation and cost attribution.

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Accelerate ESG Investing Using the TCS ESG Integration Solution on AWS

There is a growing trend of investment managers incorporating environmental, social, and governance (ESG) issues into their analysis. The increasing recognition of ESG factors within the investment process has created pressure on investment managers to adopts a robust ESG data strategy and framework. Learn how Tata Consultancy Services (TCS) has collaborated with AWS to offer the TCS ESG Integration Solution on AWS, which includes a cloud-native ESG data ingestion platform and custom ESG scoring model.

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Automating Signature Recognition Using Capgemini MLOps Pipeline on AWS

Recognizing a user’s signature is an essential step in banking and legal transactions, and typically involves relying on human verification. Learn how Capgemini uses machine learning from AWS to build ML-models to verify signatures from different user channels including web and mobile apps. This ensures organizations can meet the required standards, recognize user identity, and assess if further verifications are needed.

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Accelerate Modernization of Legacy Applications Using Wipro CNAP and Amazon EKS

For many companies, budget and time constraints, along with shifting workplace dynamics and lack of skilled developers, prevent them from taking the leap in modernizing their legacy applications. Learn how Wipro is taking a step forward to address these challenges and deliver cloud transformation at scale with the Cloud Native Acceleration Platform (CNAP). It provides self-service and enhanced developer experience to help build both greenfield cloud-native applications and modernize legacy applications.

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Optimize the Cost of Running DataRobot Models by Deploying and Monitoring on AWS Serverless

Operationalizing machine learning models can be a challenge due to lack of established ML architecture and its integration with the existing landscape. DataRobot integrates with AWS and provides the flexibility for a model trained in DataRobot to be deployed on AWS services with centralized model governance, management, and monitoring. Learn how the DataRobot AutoML platform orchestrates the complete model development and training lifecycle.

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