Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data ...

The model was refined and validated through empirical data, including case studies and analysis of assessment data from many organisations. Connecting Research and Practice The AGM on the ...

One of the more interesting announcements, to help companies understand where they are with their data protection was the unveiling of the Data Resilience Maturity Model, or DRMM.

This guide will help you achieve data maturity in your organization, unlocking new levels of insight, efficiency and innovation, and paving the way for successful AI implementation.

Many small organizations within the Defense Industrial Base are struggling to meet the rigorous requirements validated through the Cybersecurity Maturity Model Certification, writes Thomas Graham, ...

Security maturity measures an organization's ability to manage risks. This guide explains data security maturity and provides assessment best practices.

C-Suite Why Most Companies Shouldn’t Have an AI Strategy Corporate leaders feel they have no choice or risk being left behind. But are they making a mistake? This expert believes so.

A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible.

One quarter of organisations surveyed for the third Carruthers and Jackson Data Maturity Index found to have no data strategy as they increase artificial intelligence engagement.