GUIDE

Context: The Missing Link Between Your Data Stack and AI Success

A Practical Guide to DataHub Cloud

Most organizations rushing to implement AI are building on shaky foundations. Without proper data context—the metadata, lineage, and relationships that give meaning to information—even the most sophisticated AI models fail to deliver value.

This guide reveals why over 80% of AI projects fail to progress beyond the pilot phase and introduces a proven solution: building an intelligent metadata foundation with DataHub Cloud. We explore how modern context management transforms AI readiness, examining real-world implementations and the critical differences between open-source DataHub Core and enterprise-grade DataHub Cloud.

Organizations using DataHub Cloud report:

  • 50% faster time-to-production for AI models
  • 25% reduction in data storage costs through intelligent metadata management
  • 3x improvement in data discovery speed with AI-powered search
  • End-to-end lineage tracking across complex data ecosystems

Download the Complete Guide

Discover proven strategies for building AI-ready data foundations, implementation blueprints for DataHub Cloud, and a detailed framework to assess your organization’s context maturity and choose between Core vs. Cloud solutions.