Systems | Development | Analytics | API | Testing

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Automated Insurance Claims Processing: How Does It Work?

With more emerging players entering the insurance market and insurance companies recognizing the importance of the digital experience, consumer demands for a connected insurance experience have grown to new heights. For insurance customers, the claims process is a critical moment of truth, making it essential that insurers deliver a hassle-free, seamless experience with faster claims processing and excellent customer service.

What's new in 2.6 | Cost Savings and Developer Improvement

Data engineers and analysts need a self-service way to build data movement flows to get critical data to where it needs to be. Cloudera DataFlow enables self-service by introducing fine grained access control with projects. Projects allow users to group flow drafts and deployments and give access to team members as needed.

Data Bytes & Insights: Strategies for Modernizing Enterprise Data Architecture

Legacy tools holding you back? Are you ready to transform your enterprise data architecture for enhanced efficiency? In this insightful webinar "Strategies for Modernizing Enterprise-Level Data Architecture," Puneet Gupta, SVP of Product, and Cade Winter, Director of Sales Engineering at Hevo Data, guided us through strategies to drive efficiency, enhance security, and boost agility within organizations.

NatWest automates to keep ahead of the digital challenge.

The NatWest team found opportunities to automate 46% of data in their governance processes. Using Appian’s data fabric, NatWest created a unified data model that integrated 14 disjointed processes, aligning with the company’s "One Bank" vision. This consistent architecture enables employees to enter data once and reuse it throughout the change cycle, enhancing risk control with higher levels of automation.

How To Improve #TestAutomation Speed? | Yatender Sharma | #softwaretesting #automationtesting

In this video, join Yatender Sharma as he reveals valuable insights on accelerating test automation speed in this engaging video. Discover practical strategies to enhance your automation processes and achieve faster results. From automatic failure analysis and correction to seamless integration with Continuous Integration & Delivery (CI/CD) pipelines, Yatender covers it all.

Kubernetes Native API Management: Create and Deploy APIs with WSO2 APK

Commence an exploration into Kubernetes Native API Management with WSO2 in this enlightening session. Guiding you through the details of creating and deploying APIs, we commence the exploration of the robust WSO2 API Platform for Kubernetes (APK). Discover an innovative AI-powered health and wellness coach application, unraveling the process of exposing microservices as managed APIs in a Kubernetes environment. The setup involves deploying WSO2 APK alongside microservices, providing a comprehensive view of API creation methodologies.

What is Data Mapping?

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.