About the Webinar
What will you learn
Stop Paying the AI Token Tax
AI's biggest hidden cost isn't compute — it's reprocessing. Every time your models analyze unstructured data, the same content gets re-tokenized, re-extracted, and re-analyzed. This compounding expense is the AI Token Tax.
The No Token Tax Series shows how to eliminate it with MetadataHub — an automated workflow that harvests content and context once, then provisions AI-ready intelligence to every application without reprocessing.
This ongoing series explores:
Maximizing Unstructured Data for AI Workflows – Automated harvest-to-provision pipelines that enrich data upstream of RAG, reducing hallucinations and query costs
Creating Agentic Workflows – Enable AI agents to discover, understand, and act on unstructured data automatically
Maximizing Storage Utilization & Archives – Reduce costs while keeping every file accessible on-premise and in the cloud
Each session reveals how organizations automate the path from data creation to AI consumption — turning storage into a self-orchestrating foundation for innovation.
For Whom?
Anyone looking to cut AI costs, improve data quality, and make insight instant should be here.
