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Podcast - When Machines Learn from Patterns Clustering and Segmentation Explained
In Episode 8, we explore how machines discover hidden patterns without labels. From customer segmentation to market basket analysis, we bre...
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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.
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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.
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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.
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