Tag: AWS Premier Tier Services Partners

VMware Cloud on AWS helps customers including enterprises, government entities, and startups migrate to the cloud 46% faster on average and at a 43% lower cost as compared to other solutions. AWS Partners that start a VMware Cloud on AWS practice can see anywhere from a 10-15% revenue lift in their overall services revenue. Learn how partners can grow their VMware Cloud on AWS practice through professional and managed services, modernization, AWS funding, and by expanding their customer base.

Many organizations are migrating applications to the cloud to overcome technology obsolescence, vendor lock-in, expensive or limited licensing policies, and skill shortages, among other challenges. Learn how HCLTech’s Automated Technology Modernization Accelerator (ATMA) and ADvantage Cloud can help modernize 4GL-based applications to cloud-native architecture, enabling deployment on AWS environments and significantly reducing costs of modernization and time to market.

It’s critical to identify and protect the sensitive data collected from any unauthorized disclosure, and it’s the responsibility of every organization to effectively discover, control, and manage their sensitive data footprints and comply with relevant data protection laws. Learn how HCLTech‘s DataPatrol framework accomplishes critical tasks in the lifecycle of sensitive documents and improves sensitive data discovery and governance across your AWS environment.

When a DXC Technology customer wanted a complete view of requests traveling through an application so they could compare trace sets with different conditions, DXC deployed distributed tracing using AWS X-Ray. This helped monitor and debug distributed applications within the workflow to aid in swift identification of performance issues or errors. Explore the solution’s reference architecture and follow a step-by-step how to enable AWS X-Ray for different AWS products.

As data sources are becoming increasingly varied and data volume increases multifold, traditional data platforms can prevent organizations from analyzing data at scale and turning that information into tangible business insights. Cognizant Data and Intelligence Toolkit-Migration Studio streamlines the modernization journey with a suite of pre-built accelerators that can simplify and speed up every stage of migration, including discovery, ETL, business intelligence reports migration, and validation.

Organizations have matured and have overcome the initial hurdles of proving the capabilities of AI. The challenge now is operationalizing AI and building engineering excellence to successfully adopt and manage machine learning at scale. Learn how Quantiphi assisted Venterra Realty in bringing in the best ML solution development and deployment practices through NeuralOps—a framework built on Amazon SageMaker.

A business transformation is incomplete without the automation of processes at both the IT and business application levels, which is why organizations are relying on workload automation as a unifying force. Learn how HCL Workload Automation can automate tasks related to batch processing, job scheduling, unattended processes, and event-driven automation. The solution leverages Amazon EKS and works with SAP environments to help organizations accelerate their digital transformation journey.

Organizations have a requirement to implement data governance due to the presence of personally identifiable information. The process of sharing and operationalizing data movement becomes an involved task, as it must encompass data governance, data security, and include audit capabilities. Learn about a modern process LTIMindtree has introduced for data transfer using AWS Step Functions and for sharing transformed data to another account regardless of regional location.

With Amazon Comprehend, the implementation of natural language processing and machine learning has become a simple, routine task. Organizations no longer have to spend hours trying to pick the right algorithm, as Amazon Comprehend automatically selects the best ones for any given use case. To explore this benefit, learn about an implementation of Amazon Comprehend for risk prediction and sentiment analysis on the observations in clinical trials sites.

In computer vision applications, the transmission of video data to the cloud for analysis can result in added delays due to various contributing factors such as queuing, propagation, and network latency. Learn how the Nordcloud team, in collaboration with AWS, has designed a “Computer Vision at the Edge” solution based on AWS Panorama. It caters to organizations seeking low-latency decision making without the burden of managing complex technology.