Category: Thought Leadership

A closed loop assurance system predicts network events, such as faults and congestions, that are highly probable of causing service degradation or interruption, and automatically take preventive actions to avert service disruptions. Learn how Infosys leveraged AWS data streaming, data analytics, and machine learning services to ingest, process, and analyze high volumes of data from disparate sources; and to build ML models to predict network events that cause service degradation.

Learn how AWS customers and partners can leverage VMware Cloud on AWS Outposts to scale and modernize vSphere workload deployment on premises. With VMware Cloud on AWS Outposts, organizations can now run legacy applications that could not otherwise be migrated to the cloud due to latency, data residency, and local data processing requirements. Additionally, customers have the ability to run vSphere workloads on a fully-managed solution in locations without AWS Regions.

CAD on the cloud delivers the same, if not better, performance than on-premises setup. For enterprises, it will be a paradigm shift to have their CAD/CAE workload on the cloud, especially using Amazon AppStream 2.0. Learn about Infosys’ flagship Cobalt program, one of the largest service providers in engineering and design, with decades of experience helping customers leverage AWS to optimize cost and performance.

Learn now Provectus looked into how machine learning models were prototyped and evaluated at VTS, and then delivered a template-based solution enabling their data scientists to more easily create Amazon SageMaker jobs, pipelines, endpoints, and other AWS resources. The resulting coherent set of templates, with usage cookbook and extension guidelines, was applied successfully on an ML model that predicted leasing outcomes.

In construction, new methods of capturing site information, such as laser scanning, photogrammetry, drone photography, and continuous video monitoring have presented challenges for file storage, analysis, and archiving. Learn how the Nasuni Analytics Connector can help architecture, engineering, and construction customers gain business insight from file data, while using many of the network-attached storage they’re familiar with.

Data is the most important resource available to modern institutions. The challenge is not necessarily generating, cataloging, or storing data, but operationalizing it. Palantir Foundry is an operations platform that leverages existing data systems and analytics tooling to power smarter decision-making. Learn how Palantir HyperAuto can rapidly integrate data from ERP systems and operationalize that existing data against pressing business problems.

The zero-cost Amazon Sustainability Data Initiative (ASDI) seeks to accelerate sustainability research and innovation by minimizing the cost and time required to analyze large sustainability datasets. In this post, we’ll use Snowflake, a data cloud company, to work with two different ASDI datasets containing climate and air quality data. We’ll demonstrate how to access ASDI datasets, join them together by date, and ultimately form a merged result.

In the digital-first era, being a content platform means serving thousands of requests per second to users all over the world. Learn how Contentful delivers media files using Amazon CloudFront with Lambda@Edge, achieving low latency on every region worldwide while also running custom-code at the edge that enables security features and high availability. With Lambda@Edge, Contentful can easily ship code that runs close to the user to deliver secure assets.

Learn how Storm Reply used AWS IoT services to implement a solution that is highly scalable, easy to maintain, and optimized to satisfy custom requirements for Schenck Process Group, a global market leader in measurement and process technology. Storm Reply’s approach is to pair the edge device capabilities of AWS IoT Greengrass with the storage and processing power of AWS and pairing these tools with a custom, high-quality web application.

To enhance organizational, operational, and technical capabilities, many businesses are migrating their applications to AWS. This post walks through the lift and shift migration of a supply chain customer’s mission-critical legacy applications to emulated SPARCs on AWS utilizing Charon-SSP, the legacy SPARC emulator from Stromasys, and common Solaris-native tools. We’ll describe the customer’s context, Stromasys technical solution, and explore a successful lift and shift of a Solaris application, as-is, to AWS.