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

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.

By Data Tribes | Source: Data Tribes | Posted: 1/13/2026

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

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.

By Ryan Daws | Source: AINEWS | Posted: 12/20/2025

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

Workers Don’t Trust AI. Here’s How Companies Can Change That

Why don’t workers trust AI? Discover five actionable strategies to close the trust gap between your people and the technologies shaping their future — from co-creation to upskilling and beyond.

By Ashley Reichheld, Christina Brodzik, Anne-Claire Roesch, Greg Vert and Ryan Youra | Source: Harvard Business Review | Posted: 11/8/2025