Tag: AWS Public Sector Partners

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 HAQM 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.

Traditional content process workflows are expensive and complex to enhance with artificial intelligence and machine learning technologies. Kablamo’s Digital Asset Management (DAM) solution on AWS leverages leading AI/ML services to enable customers to secure, index, cold-store, and access digital assets across the enterprise. Learn how Kablamo DAM is right-sized for all customer industries and integrates into existing workflows with ease.

Learn how to implement database software development lifecycle (SDLC) automation when leveraging the AWS Amplify framework to quickly create a three-tier web application following cloud engineering best practices. This approach from AWS Premier Partner Innovative Solutions leverages the AWS Code suite coupled with the Amplify CLI to integrate database migrations against an Aurora Serverless V1 PostgreSQL cluster with deployment of an Amplify project.

When manufacturing clients migrate from on-premises solutions to cloud platforms as part of their digital transformation, the journey often starts with an application lift-and-shift. Learn how Innova Solutions’ industry-based domain expertise helps clients envision, build, and run their businesses more efficiently. See how a leading global fastener manufacturer transitioned from on-premises to AWS and how it reduced machine downtime and improved operational efficiencies at the global level.

Many organizations derive business understanding and new insights through content analytics and intelligence. Wipro’s email automation framework leverages machine learning services from AWS that enable organizations to extract data from emails and provide automated instructions which enhance accuracy and improve staff productivity. This solution supports data extraction from the mailbox (email body and attachments) and validates and prioritizes based on the urgency of emails.

Over the past couple of years, enterprises have increasingly started to adopt containers to increase IT agility. Often, Kubernetes is being used as the platform to power these efforts. Managing traditional Kubernetes clusters can be difficult and require a lot of time and know-how to set up and operate, especially at scale. Hear from AWS Ambassador Jarosław Grząbel, a cloud architect at SoftServe, how to run Kubernetes in an enterprise IT environment.