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

If you have a legacy system with customized capabilities and valuable features but nearing end of life, refactoring the system is a potential choice for modernization. Insurance platform modernization usually involves one-to-one code migration, which can often be more costly and time consuming than expected and typically tends to miss some of the integration and data architecture modernization that is foundational for getting the full value of digitization.

My first attempt to understand accessibility and how to test it started back in 2016. I was working for a company where accessibility was already an important part of the process. I was asked to perform accessibility testing on the product to determine whether we could claim to be accessible. Since it was a new subject for me, I was quite confused. Where should I start? Should I be certified to provide a proper assessment? Do I need to request assessments from third-party companies?

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”.

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.

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.

A data catalog is a central inventory of organizational data. It provides a comprehensive view of all data assets in an organization, including databases, tables, files, and data sources. Efficiently managing large amounts of information is crucial for companies to stay competitive. This practice is especially applicable to large organizations with scattered data.

The software testing landscape, while crucial for ensuring application quality, has grappled with limitations in traditional methods for decades. This article explores how Artificial Intelligence (AI) is emerging as a game-changer, addressing these challenges and augmenting the capabilities of testers. By combining advanced machine learning, deep learning, natural language processing, and other techniques, AI offers a powerful toolkit to propel software testing into a new era.

Explore the latest updates in Bitrise this month, including direct and bulk invitations in Workspaces, configuring SCIM with Okta, and new pricing tiers for Release Management. Discover what's new in Bitrise!

In the past, testing for non-functional requirements (NFR) was often neglected, done to the extent possible at the end of the life cycle. For modern development teams, that is no longer an option - to deliver high-quality applications, they have to implement a comprehensive testing strategy with proper allocation of resources to both functional and non-functional components.