Systems | Development | Analytics | API | Testing

Leading insurers are prioritizing claims process automation. Why? Because expenses related to preparing, processing, paying, and adjusting claims represent the most significant share of an insurer's operating costs. Even more than that, 87% of policyholders say the claims experience directly impacts their decision to stay with an insurance provider. But for many insurers, complex workflows, siloed data, and disparate systems have turned the claims process into a painful customer experience.

Testing asynchronous APIs (AsyncAPIs) is becoming increasingly important as more and more APIs adopt asynchronous communication patterns. ReadyAPI now supports testing of AsyncAPIs, making it an even better tool for API testing. In this blog post, we’ll provide step by step guidelines on how to import your AsyncAPIs from SwaggerHub into ReadyAPI and how to test them. Hopefully, this will help you get started with testing your own asynchronous APIs.

In a world where 2.5 quintillion bytes of data are created every day, it’s not surprising that organizations want to harness the power of being data-driven. In our 2022 Data Health Barometer, 99% of companies surveyed recognized that data is crucial for success — but 97% said they face challenges in using data effectively. Perhaps in response to those challenges, 65% of companies reported that they'd started a data literacy program.

In this new exciting development, Keboola is launching no-code data transformations for everybody on the platform. No-code transformations empower users without the technical know-how to build robust, feature-rich applications without having a degree in computer science or waiting for the IT department to develop the apps for them.

This is Part 5 of the Requirement Gathering Blog series by Rahul Parwal where we explore more on Dealing with Objections. We’d like to thank him for sharing his expertise with the community through this information-packed piece. When facing the issue of lacking proper documentation of requirements, it is important for testers to shift their perspective and focus on the needs and wants of the end-users or customers.

Sara Seylani, Solution Architect at Fivetran, reflects on the data, technology and espionage expert insights from Big Data and AI World 2023.

Fivetran partners with Databricks on their launch of Lakehouse for Manufacturing (L4M)

Mercari transformed marketing and sales with Google BigQuery and Flywheel Software by applying Machine Learning to user growth and sales growth.

Developers often build high-performing, scalable applications using GraphQL and PostgreSQL to define data structure and achieve reliability, scalability, and high performance. First, however, selecting the appropriate framework to simplify and streamline the development process is crucial while building a GraphQL API with PostgreSQL. This blog will explore the top tools for building GraphQL APIs with PostgreSQL, including Hasura, Postgraphile, Prisma, and GraphQL Nexus.

Generative AI and large language models (LLMs) are revolutionizing many aspects of both developer and non-coder productivity with automation of repetitive tasks and fast generation of insights from large amounts of data. Snowflake users are already taking advantage of LLMs to build really cool apps with integrations to web-hosted LLM APIs using external functions, and using Streamlit as an interactive front end for LLM-powered apps such as AI plagiarism detection, AI assistant, and MathGPT.