Structured for intelligence: Why Al needs governed, discoverable, and provisioned data
The O’Reilly + dbt Labs report you can’t ignore
AI is here, and it’s transforming how enterprises use data. Yet most AI projects still fail without governed, trustworthy data. Structured for Intelligence shows how to build platforms designed for AI success.
🔍 “Gartner predicts that by 2025, natural language will be the main way people interact with data systems—driving a 100x surge in data usage across organizations.”
Why this matters now
- AI is changing everything → but without structured, trusted data, your AI investments stall or stumble.
- Volume without context = risk → fragmented data sources, siloed pipelines, and patchwork governance undermine agility, trust, and compliance.
- Governance meets AI → lineage, definitions, and controls shouldn't be an afterthought, but embedded into your next-gen architecture.
This report early chapter release shows why structured context isn’t just optional, but the foundation for AI that actually works (and you'll get the full report automatically to your inbox when it's released!).
Who is this report for?
Perfect for Heads of Data, Directors of Data Engineering, Principal Data Architects, Staff Analytics Engineers—the leaders building foundations, steering strategy, and eyeing the C-suite.
What's in it for you?
- Turn fragmented systems into AI-ready platforms.
- Preempt regulatory mistakes with built-in governance.
- Shift from technical executor to strategic AI enabler.
- Position your enterprise ahead of the competition.
Ready to own the AI era? Move fast, download the report's early chapters now, and get ahead of the curve.
💡And remember: Download the early chapters today and you’ll automatically receive the full report straight to your inbox the moment it’s released.