Tag: Cognizant

Today’s businesses deal with many different varieties of data, including structured datasets stored in various repositories like a relational databse management system (RDBMS) or enterprise resource planning (ERP); semi-structured datasets like web logs and click-stream datasets; and unstructured datasets like images and videos. AWS provides a secure, scalable, comprehensive, and cost-effective portfolio of services that enable customers to build their data lake in the cloud.

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.

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.

AWS Solution Space allows AWS Competency Partners to showcase customer-ready solutions based on architectures validated by AWS. These are quick, cost effective, repeatable solutions meant to create new business leading to production workloads. Customers can also request AWS support for launching each solution. At launch, we are featuring 10 customer-ready solutions: 5 for Big Data, 3 for Machine Learning, one for Security, and one for End User Computing.