Tag: AWS Partner Success Stories

Through the Pega Platform and Amazon SageMaker, you can easily streamline the development and operationalization of machine learning models to improve process automation. This allows customers to combine the strengths of cloud, data, and machine learning with AI-powered decisioning and smart workflow capabilities. It also enables customers to operationalize and monetize data and insight, drive process efficiency and effectiveness, and improve customer experience and value.

Many organizations stay on track and achieve objectives by conducting a constructive analysis of strengths and weaknesses, but revenue and profitability analysis are not easy tasks. Explore why Metrodata chose AWS as a trusted platform to build SAP analytics offerings such as revenue and profitability analysis. These offerings empower customers to make business decisions quickly and effectively to expand in new market opportunities and focus on key growth areas.

Wipro has helped multiple SAP customers seeking to move their SAP applications to AWS to achieve agility, innovation at high speed, and improved resilience. For such migrations, Wipro leverages its FullStride Cloud Services which incorporates the company’s SAP Safe Passage Framework and helps customers assess, migrate, and seamlessly transition to operations on the cloud. Wipro has extensive experience of delivering cloud transformation projects across the globe.

Please join us in congratulating our 2022 AWS Partners of the year from India! Each year, we honor members of the AWS Partner Network (APN) who are leaders in the channel and play key roles in helping customers drive innovation and build solutions on AWS. Announced throughout the year, AWS Partner Awards recognize a wide range of born-in-the-cloud and traditional services and software partners whose business models have embraced specialization and collaboration.

IT teams are always exploring solutions to increase their existing investments and looking for solutions that answer business needs in line with IT objectives. Learn the benefits of adopting a composable customer data platform (CDP), discover ActionIQ’s Customer Experience (CX) Hub, and understand how ActionIQ and Amazon Redshift enable a composable CDP. This helps technical teams extend and enhance existing technology investments to manage data governance, costs and performance.

One of the key objectives of any transformation program is to find a novel way to achieve results in the shortest possible time, with speed and accuracy. Virtusa has been doing lot of work in the automation-led transformation space and has collaborated with AWS to help realize business benefits for customers across globe. Explore Virtusa’s perspectives on the low-code/no-code approach and walk through a homegrown solution framework.

As the adoption of Amazon EKS for running Kubernetes clusters grows, customers are seeking ways to better understand and control their costs. To address these customer needs and shed more light on EKS costs, AWS has collaborated with Anodot, an AWS Partner that uses machine learning to autonomously monitor and alert on costs in near real time, and provides recommendations to help customers quickly resolve cost anomalies.

Predicting demand for medical products can be a formidable challenge, since many items have no underlying seasonality patterns nor a consistent shelf life. Learn how Ganit worked with a client to achieve reductions in inventory by designing a robust solution with Amazon Forecast. This post details the approach used to define the objectives and discover the data treatments, and cover employing the flexible architecture provided by Forecast to turn the client’s data into a strength.

As customers look to innovate with the cloud, AWS is focused on helping organizations grow by enabling them to securely run a wide range of applications with price performance benefits. AMD-powered instances are integral to these offerings, and with AMD’s announcement of fourth-generation AMD EPYC processors AWS plans to offer Amazon EC2 instances powered by the newly-introduced processors. These instances will expand customer choice of compute options available on EC2.

Federated learning (FL) addresses the need of preserving privacy while having access to large datasets for machine learning model training. The NVIDIA FLARE (which stands for Federated Learning Application Runtime Environment) platform provides an open-source Python SDK for collaborative computation and offers privacy-preserving FL workflows at scale. NVIDIA is an AWS Competency Partner that has pioneered accelerated computing to tackle challenges in AI and computer graphics.