Metadata Weekly

The Human Elements of the AI Foundations

What AI quietly revealed about incentives, culture, and fragile foundations

Feb 12 • Gaurav Ramesh

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Semantic Layers Failed. Context Graphs Are Next… Unless We Get It Right

Context graphs are a hot new conversation these days. And yet I feel like I’ve seen this story before.

Feb 3 • Prukalpa

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January 2026

The AI Analyst Hype Cycle

What’s Real, What’s Vaporware, and What Nobody Wants to Admit

Jan 29 • Marc Dupuis

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Ontologies, Context Graphs, and Semantic Layers: What AI Actually Needs in 2026

We've been working on semantic representation for decades—knowledge graphs, ontologies, semantic layers. Jessica Talisman untangles what they actually…

Jan 22 • Jessica Talisman

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Context Graphs Are a Trillion-Dollar Opportunity. But Who Actually Captures It?

Jaya Gupta’s thesis is right about context graphs, and wrong about who wins. In a world of heterogeneity, the integrator always wins, not the…

Jan 13 • Prukalpa

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AI Broke the Data Stack. Now What? My 7 Predictions for 2026

Seven Shifts Redefining the Data Stack in an AI-First World in 2026

Jan 7 • Prukalpa

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December 2025

Why Does Clean Data Still Produce Unfair AI?

And why governing meaning, not just models, is now a leadership responsibility.

Dec 30, 2025 • Digital Gene Tech

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The 2026 AI Reality Check: It's the Foundations, Not the Models

If 2025 was the year of expensive lessons, 2026 is about who actually learned them. Discover the forces reshaping enterprise AI and what data leaders…

Dec 18, 2025 • Tathagata Das Sarma and Vivek Dubey

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AWS re:Invent 2025: What re:Invent Quietly Confirmed About the Future of Enterprise AI

Amid launches and fanfare, a quieter truth emerged: intelligence begins with the stories systems can understand.

Dec 11, 2025 • Vivek Dubey

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November 2025

Building AI Agents You Can Trust with Your Customer Data

How governance and context form the foundation of responsible, customer-centric AI agents

Nov 26, 2025 • Michele Nieberding

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Data Trust to Decision Trust: The Case for Unified Data + AI Observability

Data observability was built to catch errors for humans. Unified observability is built to control risk for autonomous AI.

Nov 20, 2025 • Mahdi Karabiben

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Context Engineering for AI Analysts

What if your AI Analyst understood your business as well as your best human analyst?

Nov 13, 2025 • Shubham Bhargav

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