Category: Learning Levels

Cognizant recognized the need to give customers in the insurance industry the ability to industrialize innovation with a platform allowing them to test ideas, innovate, fail fast, and reduce time-to-market. With this vision in mind, they set out to build InCatalyst, an insurance innovation platform. This post provides a detailed overview of InCatalyst, how it’s architected and implemented on AWS, and explore the benefits realized by InCatalyst after moving the platform to the AWS Cloud.

It’s never been less expensive to move to Amazon Web Services, and new research from TSO Logic shows AWS prices keep getting lower. The more resources you move to the AWS Cloud, and the longer you keep them there, the more value you can expect. Go inside the research TSO Logic conducted to quantify year-over-year cost declines of AWS services—the first study of its kind to put actual numbers behind the trend.

While market adoption of machine learning varies across industry segments, healthcare and life sciences have lots of opportunity to explore. Pharmaceutical and biotech industries, specifically, have low utilization of the large volumes of data they collect and store for regulatory purposes. Aizon is an AWS Partner that offers a number of ML solutions to enhance utilization and management of such data in a way that adheres to Good Manufacturing Practice (GMP) in the cloud.

The AWS Competency Program welcomed 48 new APN Partners in July—spanning workload, solution, and industry designations. The AWS Competency Program helps customers identify and choose the world’s top APN Partners that have demonstrated technical proficiency and proven customer success in specialized solution areas. Please join us in welcoming our newest AWS Competency Partners!

This new AWS Quick Start deploys Jupiter on AWS in about one hour. Jupiter is Cognizant’s continuous data testing accelerator and a component of Cognizant’s Adaptive Data Foundation offering. Jupiter enables data test automation and quality engineering at scale by aligning to a DevOps delivery mode. The Jupiter on AWS Quick Start automates the design, setup, and configuration of hardware and software to implement continuous data testing in less time than with traditional approaches.

We are excited to introduce AWS SaaS Factory to help accelerate and guide the adoption of a Software-as-a-Service (SaaS) delivery model on AWS. The program offers a comprehensive set of business and technical best practices, as well as engagement opportunities that empower and support ISVs building SaaS offerings on AWS. The focus is on helping customers and APN Partners at all stages of the SaaS on AWS journey.

The AWS Competency Program admitted 41 new AWS Partners in May—spanning workload, solution, and industry designations. The AWS Competency Program helps customers identify and choose top APN Partners that have demonstrated technical proficiency and proven customer success in specialized solution areas. This validation gives customers complete confidence in choosing APN Partner solutions from the tens of thousands in the AWS Partner Network.

Creating a software system is a lot like constructing a building. If the foundation is not solid, structural problems can undermine the integrity and function of the building. The AWS Well-Architected Framework helps cloud architects build the most secure, high-performing, resilient, and efficient infrastructure possible for their applications. This framework provides a consistent approach to evaluate architectures, and provides guidance to implement designs that scale with your application needs over time.

The AWS Competency Program admitted 26 new APN Partners in April—spanning workload, solution, and industry designations. The AWS Competency Program helps customers identify and choose top APN Partners that have demonstrated technical proficiency and proven customer success in specialized solution areas. This validation gives customers complete confidence in choosing APN Partner solutions from the tens of thousands in the AWS Partner Network.

As SaaS organizations grow and begin to extend their global reach, they must consider how their larger geographic footprint will shape and influence the architecture of their systems. Operations, deployment, agility, security, and scale all can be impacted by the move to a geographically distributed SaaS model. The more complexity that is added to a system’s operational and deployment profile, the more challenging it becomes to maintain the agility goals that are often associated SaaS delivery models.