AWS Partner Network (APN) Blog
Healthcare customers use Snowflake to store all types of clinical data in a single source of truth. One method for gaining insights from this data is to use Amazon Comprehend Medical, which is a HIPAA-eligible natural language processing service that uses machine learning to extract health data from medical text. Learn how the Snowflake Data Cloud allows healthcare and life sciences organizations to centralize data in a single and secure location.
While SaaS remains a huge growth driver and provides benefits to end customers and software providers, the transition to this model can be challenging as technology and operations take on new responsibilities in an “as-a-service” environment. To be successful, organizations need to rethink every dimension of how they build, sell, manage, support, and operate their solution. Learn how to accelerate your SaaS journey with help from AWS SaaS Competency Partners.
While organizations are evaluating the benefits of moving to the cloud for their primary needs, a sudden need for additional investments into the disaster recovery (DR) site upgrade can add an additional burden on the IT budget and slow down working on new business opportunities. This post provides a solution that can help organizations migrate their DR site to AWS with minimal changes to their applications, leveraging VMware Cloud Disaster Recovery (VCDR) and a variety of AWS services.
Say Hello to 72 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in February
We are excited to highlight 72 AWS Partners that received new designations in February 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.
Silicon design companies require huge compute and storage needs to run their electronic design automation (EDA) workloads. Learn about the business and process challenges of silicon design companies and how Nuage, Wipro’s smart orchestrator solution built on AWS, can help accelerate silicon design and time to market. Nuage can do this through prediction and optimization by leveraging the near infinite compute, storage, and other resources available on AWS.
Large-scale database migrations are difficult, have multiple phases, and are time-consuming. Customers want a simpler way to achieve large-scale migration with little to no downtime. Learn how Futuralis helped their customer migrate more than 50,000 MySQL databases hosted on an Amazon EC2 server to Amazon Aurora relational database using AWS and native MySQL tools. The customer had MySQL version 5.5 hosted on EC2 with more than 50,000 databases with 1.5 million tables and hundreds of millions of records.
To help enterprise clients increase their cloud initiatives, Sourced Group has developed a Serverless Adoption Programme for enterprises. In this post, we provide an updated version of server-focused data transfer costs that others have created and shared in the past. Sourced Group also created an entirely new visual for its own training materials that is focused on the AWS data transfer costs relevant to serverless architectures.
In global trade, a letter of credit (LC) is a commonly used financial instrument that ensures the payment of goods and services while reducing risks during transactions. The traditional LC process includes many challenges such as overdue payments, data breach risks, and fraudulent activities. Learn how Capgemini’s letter of credit solution simplifies and secures the LC issuance process through digitization and building “trust networks.”
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.
Most banks are still running legacy core systems developed over 30 years ago for mainframe computing. These software applications pre-dated the internet and were monolithic by design. Finxact is an AWS Partner that was begun five years ago by a team of engineers with deep experience in the design of core banking systems. Its mission was to couple this domain expertise with the most modern cloud-based technologies and programming languages to produce a core platform for the modern era of banking.