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A Simple Guide to Medical Insurance Claims

Insurance companies and third-party administrators are increasingly turning to automated data extraction to expedite the processing of medical insurance claims. This approach serves as a better alternative to time-intensive manual claim management. Leveraging AI technology allows them to efficiently extract crucial data from documents, eliminating manual data entry errors and significantly reducing processing times.

Sending Traffic Across Namespaces with Gateway API

In this blog post, we’ll demonstrate how easy it is to use Gateway API HTTPRoutes to route traffic to workloads deployed in different namespaces in a single Kubernetes cluster — a process that’s easier than ever. Previously, we only had Ingress API to define ingress routing rules. It served us well, but it also had its flaws and limitations that we had to overcome, sometimes in a hacky way.

Understanding API Codes: A Comprehensive Guide to Efficient REST API Integration

If you’re tackling REST APIs, decoding API codes is essential. Think of HTTP status codes as the vital signs for API requests. Our guide strips away the complexities, offering a clear explanation of each code from ‘200 OK’ to ‘500 Internal Server Error’, and how to use them efficiently. Whether you’re a developer or a system architect, you’ll learn to interpret these codes swiftly and apply best practices for worry-free API communications.

Dashboard design: 5 essential tips and considerations for 2024

A beautiful dashboard requires careful consideration for the audience throughout its design. Here are 5 essential considerations and tips for better looking dashboards. For many people, it can be hard to interpret data if it isn’t presented in a simplified way. They get cognitive overload, intimidated by what’s on screen, or misinterpret what you intend to communicate. Often, they may not use dashboards for their work altogether.

How Financial Services Should Prepare for Generative AI

It’s no surprise that ever since ChatGPT’s broader predictive capabilities were made available to the public in November 2022, the sprawl of stakeholder capitalization on large language models (LLMs) has permeated nearly every sector of modern industry, accompanied or exacerbated by collective fascination. Financial services is no exception. But what might this transformation look like, from practical applications to potential risks?

How to Document Your REST API Like a Pro

REST API is an application programming interface that continues to grow in popularity due to its flexibility and scalability. In this detailed guide, we will outline how to document your REST API like a pro, guiding you through the process clearly and concisely to make things as easy as possible. From the basics, what you need to include, and all the way to the tips and tricks, we will provide everything you need to know to create perfect documentation.

Ensuring Aviation Stability: Safeguarding Against Meltdowns Through Comprehensive Digital Assurance

On January 11, 2024, a rare and unprecedented event unfolded as the Federal Aviation Administration (FAA) decided to ground all flights. The catalyst was critical issues within the system responsible for alerting pilots to potential airborne and ground dangers. This marked the first complete shutdown of U.S. airspace since the aftermath of the 9/11 attacks, unleashing chaos and confusion.

What is RAG? Retrieval-Augmented Generation for AI

Retrieval-augmented generation (RAG) is an AI framework and powerful approach in NLP (Natural Language Processing) where generative AI models are enhanced with external knowledge sources and retrieval-based mechanisms. These appended pieces of outside knowledge provide the model with accurate, up-to-date information that supplements the LLM’s existing internal representation of information. As the name suggests, RAG models have a retrieval component and a generation component.