What is hyperautomation for insurance? It might sound like just another buzzword, but let’s peel back the layers to see how hyperautomation works. Imagine this: you go on a deep dive to evaluate your insurance company’s processes and operational models. You discover inefficiencies, lag times, and that your team manages transactions with disparate, often manual processes. It’s clear you need a new solution. And the solution you need doesn’t currently exist.

When building your Laravel applications, you may sometimes need to use a NoSQL database to store and retrieve data. One popular choice is Amazon DynamoDB, a fully managed, serverless, and highly scalable NoSQL database service provided by Amazon Web Services (AWS). In this article, we'll take a brief look at DynamoDB. We'll then delve into how to use DynamoDB as a cache store in Laravel, and how to store Laravel models in DynamoDB using the baopham/laravel-dynamodb package.

New legislation affirms the governance and security responsibilities of all organizations doing business in the EU.

Working with large volumes of data requires effective data management practices and tools, and two of the frequently used processes are data ingestion and ETL. Given the similarities between these two processes, non-technical people seek to understand what makes them different, often using search queries like “data ingestion vs ETL”.

Today’s AI may be able to pass the Turing test, but I think we can all agree that doesn’t make it human. AI is a tool—a powerful one, but a tool nonetheless. And just like any tool, it can make our work easier, but it can’t do it for us.

We tested a product-led go-to-market motion last year. Here are the exciting results and learnings.

Learn the best practices to follow when implementing a test automation suite.