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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
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.
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