Category: AWS Partner Network

We are excited to highlight 135 AWS Partners that received new designations in October for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

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.

This year’s Partner Experience at AWS re:Invent offers content and activities designed specifically for AWS Partners and prospective partners alike. Learn how to leverage AWS services to build solutions for customers, and explore AWS Partner Network (APN) programs that can help differentiate your business to reach new customers faster. There are both business and technical-focused breakout sessions, workshops, chalk talks, and the not-to-miss Partner Keynote on Wednesday, November 30.

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.

Conversational AI solutions, like chatbots and interactive voice response systems (IVR), are a key component of enterprises’ customer service strategy. AWS recently ran a survey, through ESG, on consumers’ opinions of automated customer service solutions like chatbots and IVRs. Conversational AI solutions have come a long way from basic FAQ experiences, and while we see strong positive signals of consumer interest in automated solutions, there are still areas for improvement.

Learn how Amazon FinSpace, a data management and analytics service purpose-built to help solve these challenges for the financial services industry, and our AWS Partners have developed business-ready platforms that map to the needs of industry analysts, data scientists, quants, and asset managers. These validated AWS Partners accelerate deployment with ready-made frameworks for specific sub-sectoral business cases using Amazon FinSpace.

VMware vRealize Orchestrator is a part of VMware’s vRealize Suite and tied in closely with VMware vRealize Automation. This post highlights how you can use vRealize Orchestrator to deploy and manage VMware Cloud on AWS environments. It shows a method of automating VMware Cloud on AWS and helps admins get started using vRO to manage VMware Cloud on AWS environments. The sample code can be found in this GitHub page and follows the VMware Cloud on AWS API guide from VMware.

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.