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 ...

The business world is in the midst of a radical transformation. Conventional data analytics tools such as BI are no longer enough to keep organizations on the leading edge of innovation. Artificial ...

Google's newest Gemma model is now both open-weight and open-source ...

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, ...

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...