Systems | Development | Analytics | API | Testing

Latest AML Trends: 8 Trends and How to Modernize Compliance

As financial crime becomes more sophisticated, the financial services industry is under pressure to develop equally sophisticated, AI-driven solutions. Know Your Customer (KYC), financial crime, and fraud prevention teams must be equipped with the latest advanced technologies to detect modern threats and stay compliant with regulations.

How to Use Unreal Engine 5 + UE5 Source Control

Unreal Engine 5 is a cutting-edge game engine with real-time rendering capabilities, an extensive asset marketplace (Fab), and advanced features (such as Nanite and Lumen) that enable teams to create hyper-realistic characters and photorealistic digital environments. Unreal Engine's ability to create immersive stories and experiences has made it valuable to a wide range of industries—including gaming, media and entertainment, architecture, automotive design, and more.

Javascript Var Vs Let Vs Const: Understanding The Differences And Best Practices

In JavaScript, variables are fundamental building blocks. With the introduction of ES6, developers gained more options – let and const – alongside the traditional var. Understanding the distinctions between these declarations is crucial for writing clean, efficient, and bug-free code. Regardless of whether you are new to programming or not, knowing how var, let, and const operate can help you avoid a lot of common mistakes and write better JavaScript.

What is AI NLQ? Understanding AI-Powered Natural Language Query

The rise of natural language query (NLQ) technology in modern business intelligence (BI) and analytics platforms is empowering many companies to streamline data exploration and analysis, and democratize access to insights for more people - not just data experts. But like any technology, the ongoing challenge is to help stakeholders and customers to see the value in using it.

20 Automation Testing Best Practices For 2025

I’ve been in the automation testing game long enough to watch trends come and go. The biggest lesson I gained after all those year is how going back to the fundamentals is usually the "best" best practice. Here’s the thing — buzzwords mean nothing if you can’t trust your test suite. At the end of the day, it’s not about chasing hype. It’s about doing the basics really, really well. So here are 20 automation testing best practices for 2025.

Test Parameterization Techniques

Test parameterization allows testers to run the same test case with multiple sets of input data, eliminating the need for duplicate test cases. Instead of hardcoding values, testers define variables that can be dynamically replaced during execution. This approach is essential for testing different scenarios efficiently, such as validating multiple user credentials or input combinations without creating separate test cases for each variation.

Maximizing GPU Efficiency with ClearML's Unified Memory Technology

AI builders deploying models into production focus on ensuring well-performing models are available for users. Once the model is live, the focus shifts to optimizing GPU usage for efficient deployment. While GPU machines offer the best performance, they are costly to run and frequently remain underutilized.