As artificial intelligence edges into every aspect of our life, it’s becoming clear that the broad capabilities of large language models (LLMs) like those from OpenAI aren’t always the perfect fit for ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Data can feel overwhelming, especially when it’s scattered across spreadsheets, databases, and countless other sources. If you’ve ever stared at rows of numbers, wondering how to make sense of it all, ...

Over the years, data centers have reinvented themselves through virtualization, the cloud and AI. The next iteration is ...

Startups usually run at a deficit while designing and building the product. But companies are designed to make money, and over time, as unit economics and customer acquisition costs improve, you’ll ...