Building AI Readiness: A Data-First Perspective

AI readiness is not about choosing the right model, it starts with building the right data foundations.

This article explores how discoverability, privacy by design, data quality, and representativeness shape trustworthy and scalable AI.

Using the Data Tribes framework, we highlight why a data-first mindset is essential to move from AI experiments to real impact.

By Data Tribes | Source: Data Tribes | Posted: 2/7/2026

Building AI That Actually Works: From Use Cases to Foundations

Many organizations invest heavily in AI, yet struggle to realize value.

The reason is simple: AI is a system, not a tool, and systems require strong foundations.

By Data Tribes | Source: Data Tribes | Posted: 1/4/2026

A CEO's Guide To Data Strategy

The article emphasizes that CEOs must lead their organisation’s data strategy by aligning business goals with IT initiatives. It sets out a clear framework: define purpose, secure leadership, break down silos, embed governance and ensure execution through collaboration between IT and business functions.

By Adrian Knapp | Source: Forbes | Posted: 11/17/2025

Data Governance and AI Governance: Where Do They Intersect?

A thoughtful article by DATAVERSITY exploring the intersection of Data Governance and AI Governance, and how the two disciplines are increasingly connected in the age of generative AI.

By Michelle Knight | Source: Dataversity | Posted: 10/19/2025

Complete Guide to Seaborn

A comprehensive KDnuggets guide by Olumide Shittu on using Seaborn — from basic plots to advanced grid layouts. A valuable resource for data scientists and analysts to elevate their visualization skills.

By Olumide Shittu | Source: KD Nuggets | Posted: 10/11/2025