December 2025
Intermediate to advanced
46 pages
1h 2m
English
Overview
As enterprises embed AI and agents into everything from customer experiences to internal operations, a new challenge is emerging: Structured data—the foundation of operational and analytical systems—must now be discoverable, governed, and provisioned in ways that AI can understand and reliably act on.
Authors Tom Taulli, Tom Grabowski, and Sai Maddali examine the rise of structured data interfaces: systems that expose data assets to AI with the right metadata, lineage, permissions, and context. You'll learn how to use these interfaces to enable trusted decision-making, automation, and augmentation and unlock the value of your data in an AI-first world.
The future of data engineering isn't about doing less. It's about doing more of what truly matters. This report equips you with a framework for understanding how your data architectures must adapt to support this next wave of innovation.
- Learn why structured data is critical for safe, effective AI system interaction
- Explain the strategic importance of structured data access to technical and business stakeholders
- Evaluate your organization's data infrastructure through the lens of AI readiness
- Identify gaps in discoverability, governance, and provisioning for AI-driven use cases
- Frame requirements for vendor evaluation or internal tooling around AI-data integration
- Plan a roadmap for enabling LLMs to safely interact with structured enterprise data
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