AWS Partner Network (APN) Blog

Increased competition, labor shortages, and changing customer expectations have forced organizations to rethink their document-based processes. Learn how Hyperscience addresses the limitations of legacy automation solutions to help insurance agencies optimize document processing. Explore how incorporating machine learning into automation solutions leads to greater end-to-end automation, more engaging work, and better business outcomes.

Businesses are faced with increased data and variety, as data structures are no longer tabular and come in all forms and shapes like JSON, logs, videos, and big data. These challenges drive developers to adopt MEAN or MERN stacks that can be deployed in a highly scalable, secure, and cost-efficient environment. Learn how you can migrate to the two stacks by introducing MongoDB Atlas and Amazon ECS with AWS Fargate into your architectures.

A small number of companies manage to leverage the true value of their machine learning proofs of concept, and the majority of those are still struggling to overcome the experiment-production gap for their AI applications fueled by machine learning and data. Learn about MLOps, why organizations should care about it on their AI journey, and how DXC Technology and AWS can help to quickly integrate MLOps best practices into your daily business using the MLOps Quick Start for MLOps on AWS.

Turning large amounts of raw data into insights has been cited as one of the most challenging problems by executives. Learn how OpenText InfoArchive on AWS can help you take control of your “business complete data,” which refers to data that is no longer changing and needs to be kept for compliance purposes. When deployed on AWS, customers have access to serverless technologies to integrate their existing data-generating systems while enriching data with AI/ML-powered insights along the way.

From the Special Olympics to GE Healthcare, we’re excited to share a few stories to help you learn how customers have accelerated their cloud adoption and fueled innovation with AWS Partners. Uniquely positioned to help customers take full advantage of all that AWS has to offer, AWS Partners comprise a diverse network of more than 100,000 companies from 150+ countries. More than 90% of Fortune 100 companies and the majority of Fortune 500 companies utilize AWS Partner solutions and services.

We are excited to highlight 127 AWS Partners that received new or renewed designations in January 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.

To meet challenging product design goals and deadlines, today’s complex engineering projects need instant access to state-of-the-art computing infrastructure as well as advanced CAE and CAD software. However, procurement and configuration of these resources at scale can involve large up-front costs and long deployment timelines. Learn how Ansys Gateway powered by AWS facilitates seamless access and deployment of Ansys products on the AWS Cloud.

VMware Cloud on AWS customers have requirements to interconnect their SDDCs across different AWS regions, but existing network design patterns require you to build a full-mesh topology with static routing to provide multi-region connectivity for SDDCs. Learn how AWS Cloud WAN helps address VMware Cloud on AWS multi-region connectivity challenges and requirements, and review a reference architecture with a real example for integrating VMware Cloud on AWS with AWS Cloud WAN.

Migrating a company’s database architecture from an on-premises database to the cloud can be a complicated and time-consuming process. One of the critical decisions is the choice of tooling to deliver the migration, and how to get the best out of the selected tool. This post discusses key learnings and experiences Fujitsu has gained through its use of AWS Database Migration Service (AWS DMS) during database migration projects, primarily from Oracle-to-PostgreSQL migrations.

Amazon Redshift is a column-oriented database management system that stores data in columns, making it quicker to analyze data. The platform also performs a continuous backup of data, eliminating the risk of losing data or the need to plan for backup hardware. Learn how Hexaware’s automated platform, Amaze for Data & AI, transforms on-premises data warehouse ecosystems to the cloud while ensuring business keeps running smoothly and uninterrupted.