Tag: AWS Public Sector Partners

A tenant management service manages the tenant’s provisioning and lifecycle, and tenant management is usually one of the first services SaaS providers build for their SaaS control plane, as the tenant onboarding experience must be simple and fast. Learn how CyberArk built a serverless, simple, and scalable tenant management service. Its primary responsibility is adding new tenants and provisioning multiple CyberArk products to the tenants according to the customer’s subscription.

Customer service agents communicate with many individuals using channels such as inbound and outbound calls, emails, chats, and social media messaging. For channels like email or social media messaging, there is typically a target timeframe within which the agent needs to reply to the customer. Learn about an AI-powered solution called Smart Reply developed by Axrail, an AWS Advanced Tier Services Partner that provides outcome-based digital transformation through analytics and application modernization.

Amazon S3 is ideal when you want to store documents, images, and videos and render with faster performance. Learn about the object storage accelerator built by DXC Technology, a serverless solution that automatically creates code repository, CI/CD pipeline, and S3 storage APIs with security best practices in a two-step deployment process. The solution is technology-agonistic which means any customer project can consume these services after deployment.

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.

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.

Gogo is a global provider of broadband connectivity products and services for business aviation. It needed a qualified engineering team to undertake a complete transition of its solutions to the cloud, build a unified data platform, and streamline the best speed of the inflight internet. Learn how N-iX developed the data platform on AWS that aggregates data from over 20 different sources using Apache Spark on Amazon EMR.

As BJSS demonstrates in this post, hosting a trading platform for a major market in the cloud has long been technically feasible, and the last four years have only solidified the argument for migration of trading systems to cloud infrastructure. The study BJSS performed should be used as confirmation of cloud capabilities by those weighing the cost and opportunity of a transition. Early adopters of cloud services have benefited from the advantages of improved resiliency, scalability, security, and flexibility.