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All Data Is Referential. Here’s Why That Changes Everything.
AI & context

All Data Is Referential. Here’s Why That Changes Everything.

Picture this: a global pharmaceutical company is preparing a regulatory submission. The clinical trial data is there. The safety records are there. But the therapeutic area classifications used in…

Gartner D&A Declares Context is King: Context Layers as the New Critical Infrastructure for AI
AI & context

Gartner D&A Declares Context is King: Context Layers as the New Critical Infrastructure for AI

Gartner put context on the opening keynote stage and told enterprises to fund it as infrastructure. Walking the expo floor showed how few have actually solved it.

How Do I Build a Context Layer for AI? Start with Authoritative Context
AI & context

How Do I Build a Context Layer for AI? Start with Authoritative Context

AI systems must first understand the definitions and truths of your business, then the relationships between your data, before reliably interpreting when or how those things change or interact.

Latest posts

AI & context

Do You Already Have a Context Layer? You May Be Closer Than You Think

Most enterprises already have the pieces of a context layer — in Databricks, in SharePoint, in a CRM schema nobody documented. The gap isn't technical. Nothing links them.

June 30, 2026
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AI & context

How to Build an AI-ready Data Foundation Using Semantic Ontologies and Knowledge Graphs

Artificial intelligence initiatives often fail not because of weak models or insufficient compute, but because the underlying data is fragmented, inconsistent, and poorly understood. Enterprises may…

March 1, 2026
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AI & context

Why Isn’t AI Delivering Business Value? The Missing Data Foundation.

Organizations across industries have invested heavily in artificial intelligence with the expectation of faster insights, better decisions, and competitive advantage. Yet for many enterprises, AI…

March 1, 2026
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Data governance

Why We Should Do Reference Data Management Differently Than Master Data Management

Master Data Management has long been positioned as the cornerstone of enterprise data consistency. By creating authoritative records for entities like customers, products, and suppliers, MDM helps…

March 1, 2026
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Data governance

Why Do We Need a New Way of Managing Reference Data in The Age of AI

Reference data has always been treated as background plumbing. AI doesn't tolerate that — it needs to know what a code actually means, not just that two systems agree on it.

March 1, 2026
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AI & context

Building the Context Layer that Scales Trustworthy AI

Enterprises are investing heavily in AI. Yet many are struggling to move from pilots to production.

February 17, 2026
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Standards

Data Standardization Explained: How to Build Trustworthy and Consistent Data

In today’s data-driven enterprises, information flows across multiple systems, departments, and geographies. Data is collected from diverse sources such as transactional databases, cloud…

December 25, 2025
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Standards

Knowledge Management: Connecting Enterprise Knowledge with Metadata and AI

Knowledge management is essential for turning scattered data, documents, and expertise into a strategic enterprise asset. Yet, many organizations struggle to fully leverage their knowledge without a…

December 25, 2025
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Data governance

What Is an Enterprise Data Catalog? A Guide to Metadata and Discovery

Modern enterprises generate enormous volumes of data every day, from transactional databases and operational systems to cloud storage, log files, and unstructured documents. While this abundance of…

December 25, 2025
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