Commercial and open source large language models (LLMs) are evolving rapidly, enabling developers to create innovative generative AI-powered business applications. However, transitioning from prototype to production requires integrating accurate, real-time, domain-specific data tailored to your business needs and deploying at scale with robust security measures.

Traffic alone won’t make you sales. You need to understand and direct that traffic down your marketing funnel. But to do that, you need to first know what your traffic comprises of. You need to know who’s coming to you, where they are coming from, what they are doing, and when they are leaving you. A marketing analytics tool helps with just that.

Implementing a modern, integrated data architecture can help you break down data silos, which cause C-suite decision-makers to lose 12 hours a week. Furthermore, more than 60% of organizations agree that data silos represent a significant business challenge. The solution is a data architecture that eliminates silos, and that’s where the data mesh vs. data fabric debate comes in. While both data architectures work to eliminate data silos, they differ in their approaches (more on that later).

End-to-end testing (E2E) is an important part of the software development process, serving as a comprehensive way to verify that applications and systems work properly not only in the testing enviroment, but also in real-life scenarios. It provides a level of assurance that your application will correctly exhibit behavior from start to finish.

Although GoMock is one of the most popular ways to create mocks in Golang, it’s important to understand the broader landscape of mocking methods in the language to fully leverage its potential value in testing. Mocking is a powerful technique that allows developers to isolate their code, improve test reliability, and ultimately enhance overall code quality.

Learn about some of the top mobile testing tools and frameworks available, including how you can leverage them to improve your app quality and deliver exceptional customer experiences.

A little-known fact about me is my love for scuba diving. There’s nothing quite like the feeling of being so close to nature, exploring the mysteries of the underwater world. Every chance I get, I dive into the ocean’s depths, uncovering hidden wonders that most people never get to see. That got me thinking about the similarities between data and the ocean. Just like the vast, uncharted waters of the sea, the world of data holds incredible potential—if you know how to navigate it.