Tag: MSP Partner Spotlight

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.

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.

Deloitte’s Synergy offers an end-to-end integration that considers critical factors to ensure cities and places of the future are human-centric. The goal of Synergy solutions is to help ensure citizens have the best experience, powered by technology, whether at work, in their commute, obtaining healthcare, or while out with our friends. Learn how the Portuguese Red Cross leveraged the Synergy platform to launch a solution to solve the issue of elderly people living alone.

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.

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.