Journal

Insights & Perspectives

Thinking on AI video datasets, model training, ethical data infrastructure, and the future of licensed content.

Regulating AI Video in the Advertising Ecosystem

How Clairva Solves the Problems Highlighted in India's Draft AI Policy

When AI Models Forget Languages, They Forget Markets

The Fallacy of Exclusivity in AI Training Data

The Next Frontier in AI Video: Rights as Infrastructure

Clairva and GoQuest Media Announce Strategic Partnership

Foundation Models for Advertising: Why They Matter for Brands

The Content Owner's Disadvantage in AI

Meta, Scale AI, and the Dataset Arms Race: What It Means for Video AI and Asia

Your Model Is My Commodity

Data is the Moat: Clairva's Vision for Defensible AI and Video Generation in Asian Retail

The AI Boom Needs Better Fuel: What the Meeker Report Tells Us About Clairva's Moment

What Makes a Video Dataset 'AI-Ready'? A Field Guide for Content Owners

The Future of Ethical AI Needs Founding Contributors. Will You Be One of Them?

Scaling Multimodal AI With Brand Safety: Why Should Brands Worry About Reputational Fallout In a GenAI World?

The Coming Bandwidth Crisis: Are We Ready for Video-First AI?

Creator Economy

The Creator's Paradox: When Your Work Trains Machines

Synthetic Data is Eating AI: How to Avoid Model Collapse and Stay Ahead

Building Asia's First Authenticated Dataset Marketplace for Large Video Models

The Ethics of AI in Fashion: Ensuring Diverse Representation

Creator Economy

Monetizing Content: How Video Creators Can Profit from AI

How AI-Ready Datasets Are Transforming Fashion Retail

Overcoming Data Bottleneck in Large Video Models

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