Tag: Amazon SQS

In a recent customer engagement, Quantiphi developed a serverless, fully-managed connected vehicle platform that enabled real-time analytics on telematics data for one of the world’s leading car-as-a-service companies. Learn about IoT-based telematics solutions that are transforming the fleet management industry and explore how Quantiphi helped a U.S.-based fleet management organization make better decisions and improve customer and asset service.

Learn about the AWS AI services stack for government agencies and partners to develop intelligent automation solutions to extract information from digitalized paper documents. Intelligent Document Processing (IDP) is a solution that enables extraction and processing of specific data elements from documents using AI and machine learning techniques. AWS services that add AI/ML intelligence to IDP solutions include Amazon Textract, Amazon Comprehend, Amazon Augmented AI, and Amazon Kendra.

This post describes a solution created by IBM during the migration of a big data and analytics platform for one of the top 10 banks worldwide. The primary drivers were cost efficiency, business agility, and performance. The “pet to cattle” concept was applied to this solution to transform the legacy high availability disaster recovery solution to a more robust and cost-effective cattle-based solution through the use of AWS-native services.

Customer onboarding remains a challenging and time-consuming process for most banks. Both digital and traditional processes are often overly complex, resulting in lower conversion rates and higher cost of acquisition. To overcome these challenges, numerous financial institutions have started customer onboarding online. In this post, walk through the use case of one of the largest financial institutes of Europe for whom Infostretch provided a substantial breakthrough to onboard the customers digitally.

Security is the highest priority for AWS, which works closely with industry-leading partners such as CloudHealth by VMware to build security solutions for customers like CloudHealth Secure State (CHSS). Learn how you can set up CHSS projects, suppress rules and alerts, find misconfigurations through CHSS Explore, and set up remediation jobs all built on CloudHealth’s unified security monitoring approach for AWS.

The aviation industry was impacted greatly by COVID-19 as the need for social distancing and safety precautions became fundamental in reducing the spread. As air travel begins to increase, enabling social distancing standards for passenger safety is critical in restoring confidence when flying. AWS Premier Consulting Partner Wipro has developed a solution called Passenger Queue System (PQS) that alleviates passenger congestion and affords more freedom for passengers to dine and shop prior to the boarding process.

A Fortune 500 customer asked Contino, an AWS Premier Consulting Partner, to assist with the migration of an internal-facing, traditional line of business. They wanted to migrate a three-tier web application onto AWS to satisfy key business metrics around resiliency and availability. Learn how Contino helped modernize this multi-tier web application from being hosted in the customer’s data center to running on AWS.

Cloud security is the highest priority at AWS, and we work closely with industry-leading partners such as Trend Micro to build security solutions for customers. In this post, we share a malware scanning solution jointly built by Trend Micro and AWS that detects and automates response to malware payload uploaded to Amazon Simple Storage Service (Amazon S3). The solution uses Trend Micro threat intelligence capabilities and AWS Security Hub.

Many customers at DNX Solutions struggle with different facets of their cloud platform optimization, but scalability is usually identified as one of the main factors to drive a cloud modernization project. Learn how DNX Solutions modernized a customer’s heavy image processing jobs, and moved from a traditional pooling mechanism to an event-driven architecture supported by AWS Batch and Amazon EventBridge. The key objective of the process detailed in this post was to enable the customer to scale their data platform.

A Tech Mahindra customer had a vision for cloud adoption and API development in a multi-cloud environment. They wanted to transition all appropriate old and new applications to an event-driven architecture while moving away from trigger-based synchronization of data between the different systems. Learn about the key aspects of Tech Mahindra’s API Factory Model and how it was used for re-architecting the customer’s on-premises application to a cloud-native application.