The process of de-identifying test databases can be approached in a variety of ways, and we’re often asked how our approach differs as compared to others. In this article, we’ll explore how our ...

Choosing an AI model to use means making a call between different ecosystems and tools based on issues of data, privacy, cost ...

Microsoft Fabric expands as industry analysts reveal critical criteria enterprises need for evaluating AI-ready data ...

Building an artificial intelligence (AI) model requires a significant investment of time and effort. The planning, development and fine-tuning stages can be meticulous and resource-intensive. However, ...

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...

New types of AI coding assistants promise to let anyone build software by typing commands in plain English. But when these tools generate incorrect internal representations of what's happening on your ...

Predictive analytics transforms your historical marketing data into powerful insights about what will happen next: whether that's identifying which customers are likely to make a purchase, identifying ...

In the ever-evolving world of sports analytics, cycling stands on the brink of a data-driven revolution. By leveraging innovative data models, inspired by diverse industries, new opportunities for ...