Data integration is a leading priority for enterprise executives, with 82% of senior executives considering scaling AI a top priority. However, this ambition is frustrated by the longstanding practice ...

Time flies in the world of data analytics and artificial intelligence (AI). Seemingly every day, new technologies rise, new use cases emerge, and new frontiers unfurl themselves before a world that ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is the fix. Let’s be honest: our data systems are struggling to keep up with AI ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Dr. James McCaffrey of Microsoft Research uses the Hugging Face library to simplify the implementation of NLP systems using Transformer Architecture (TA) models. This article explains how to compute ...

AI’s future is not only about capability. It is about control, compliance, and trust. And in the coming decade, data privacy will be the true measure of technological leadership.

Over the past decade, the data boom has created exciting strategic opportunities for adaptive companies and enabled the development of entirely new enterprises. This wave was the result of the ...