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Project (1) Insurance
Insurer Uses AI to Protect Biometric Data
The Challenge
Industries in India have been disrupted recently by the 2019 Aadhaar Act privacy amendment. Aadhaar numbers are unique identification numbers issued to every resident of India by the government. This new law requires all organizations in India to comply with provisions to mask each individual’s Aadhaar number for security purposes.
Seeking to comply with this new mandate—and avoid a stiff penalty—one large Indian insurance company enlisted to cloak the numbers using an automated process driven by artificial intelligence (AI) As the law prohibits intermediate storage of data, the company wanted an efficient masking technique without disrupting its existing processes.
Our Approach
We created an AI-enabled smudging solution for the insurer’s historical heterogeneous data, storage devices and future real-time Aadhaar image processing. This process was carried out by taking the image input and providing a masked image as the output. A cognitive service-based machine learning model, running on the Microsoft Azure platform, masks the images in the background.
This process was carried out by taking the image input and providing a masked image as the output. A cognitive service-based machine learning model, running on the Microsoft Azure platform, masks the images in the background. Our solution facilitates identification of long or short format Aadhaar cards and masks bar codes, QR codes and identification numbers.Azure Computer Vision technology identifies the Aadhaar numbers in the image. A machine learning model, based on Azure Cognitive Services and trained using sample data provided by the client, identifies QR codes and bar codes.
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Faster, scalable, fully compliant protection
This automated, secure and maintenance-free solution is much faster than the insurer’s previous manual image masking technique while remaining fully compliant with process requirements. There is no risk of data leakage because the API does not store images during processing. The new system is also scalable to support large changes in workload and throughput.
Project (2) Insurance
One-click resiliency for Swiss Re
Swiss Re Moves to Microsoft Azure Public Cloud as Platform for IT Modernization Migration of SAP S/4HANA applications to Microsoft Azure is one of the insurance industry’s largest projects to date.
The Challenge
As part of an IT modernization initiative, Swiss Re, one of the world’s largest reinsurers, wanted to migrate its SAP S/4HANA running in a hosted private cloud environment to a hyperscale public cloud based on Microsoft Azure. The goal was to enable higher levels of efficiency, minimize operating costs and optimize capital investment. With this move, the Swiss Re team also expected to achieve greater agility to develop prototypes, as well as evaluate new features for its enterprise applications.
One of the biggest technical challenges was that the existing SAP applications in the private cloud were not built with high availability. This low availability resulted in reduced infrastructure resiliency and a greater number of application component failures.
Our Approach
A long-time Swiss Re partner, functioned as the systems integrator on this project. Our team carefully crafted a plan to migrate the company’s distributed SAP applications to Microsoft Azure. During the course of the project, the team built numerous automated processes on top of SAP S/4HANA. We leveraged Devops to create an industry-first, one-click SAP disaster recovery (DR) solution to improve resiliency, reduce manual errors and speed recovery time. The team also achieved wider IT process automation, as 95% of the infrastructure build was automated.
AS partnered with SUSE, a multinational, open-source and enterprise software developer, to design a clustering architecture based on the company’s SUSE Linux Enterprise HA Extensions. The redesigned high-availability architecture ensures the external application programming interfaces will continue to work without any modifications to the service endpoints after migration
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At a Glance
As part of an IT modernization initiative, Swiss Re, one of the world’s largest reinsurers, targeted 2020 to stop operating its own data centers
The Benefits Include
Project (3) Insurance
A health insurance company implements document automation tool to produce benefit booklets with more accuracy and efficiency.
The Challenge
The health insurance company wanted to accurately and efficiently produce benefit booklets that outline member insurance packages and meet the aspirational goal of sending them out in under 60 days.
Our Approach
we collaborated with the healthcare company to identify a new tool that led to a streamlined, frictionless production process and reduced errors
Benefits
Faster, more frictionless benefit booklet production and release Reliable error categorization and identification Faster training for new employees
Project (4) Insurance
Securing a healthy future for a leading global health insurance and care company with ADM
The Challenge
This leading UK-based, global Health Insurance and Care company was looking for a partner to support and guarantee a smooth, stable customer experience for its insurance policy administration platform.
Solution
ADMnext supported the client’s comprehensive health insurance policy administration platform. This platform covers enrollment, pre-authorizations, claims, billing, payments, renewals, group and member data, and pricing, and holds details for close to 100,000 organizations and providers and five million members.
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Benefits
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