Data fabric and data mesh are two concepts that are regularly covered in data and analytics circles. They both evoke the image of a flexible digital cloth but they are, in fact, very different. As a ...

Clarifying what data mesh is and how it works is important, but even more so is starting with the why. Why Organizations Need A Data Mesh. The data mesh paradigm aims to address some of the biggest ...

Data mesh empowers enterprise AI by enabling secure, flexible access to domain-specific data, which is crucial for unlocking real business value from AI. Conversations about AI technology involve ...

When the discussion turns to analytics and data science, do you immediately think of aluminum? If you said no, that's good — you shouldn't have. Until now. Aluminum has many applications. It ...

This article explores why centralized data warehousing remains the better choice for long-term data strategy and why data mesh may not live up to its promises. Why This Discussion Matters As data ...

This is why the 4 principles of a data mesh should help make better use of limited resources. The first two principles describe a multipurpose approach to data cleansing. Monica McDonnell ...

At a high level, machine learning (ML) and AI models are trained on various types of data, including text, images, structured or unstructured information, time series, metrics, and user profiles.

PEO EIS is working closely with DASA(DES) on the initial version of its UDRA, which aims to establish the Army’s enterprise mesh services.