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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.
AI Doesn’t Create Creativity — People Do
Generative AI is everywhere, yet its impact remains uneven across organizations.
This article explores why AI adoption alone does not guarantee creativity or better outcomes, and how human thinking, enablement, and governance make the real difference.
Drawing on recent research and real-world observations, we unpack what leaders often miss, and what it truly takes to turn AI into a source of sustainable impact.
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
Microsoft ‘Promptions’ fix AI prompts failing to deliver
Microsoft’s Promptions is an open-source UI framework that reduces AI prompt trial-and-error by replacing free-text requests with dynamic, selectable options that clarify user intent.
How AI Can Help Unlock a Clean-Energy Future
AI isn’t just energy-hungry it can also be a powerful ally in the clean-energy transition. When applied thoughtfully, it helps optimize how we generate, store, and use power, ultimately supporting a smarter and more sustainable future.
By Nancy W. Stauffer | Source: MIT News | Posted: 11/26/2025
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.