# Blog Category: AI Data Management

Content focused on machine learning, AI/ML governance, AI agents, the MCP Server, and intelligent data capabilities

July 1, 2026

## [Context Management Is the Missing Piece in the Agentic AI Puzzle](/content/blog/context-management/index.html)

Context management gives AI agents secure, reliable access to enterprise data. Learn what it is and how to implement it.

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May 14, 2026

## [AI Agent Onboarding: The Missing Discipline Behind Agents That Actually Work](/content/blog/ai-agent-onboarding/index.html)

AI agent onboarding is the missing discipline behind production-ready agents. Why context engineering can’t do the job alone.

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April 10, 2026

## [What Is a Context Graph and Why Does It Matter for AI Agents?](/content/blog/context-graph/index.html)

A context graph unifies metadata and knowledge into one network AI agents can act on. Here’s what it takes to build one.

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April 10, 2026

## [AI-Generated Documentation and Context Propagation](/content/blog/benefits-of-ai-generation-documentation-and-context-propagation/index.html)

AI-generated documentation solves cold-start. Context propagation makes it stick. See how the two work together.

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April 2, 2026

## [A Practical Guide to MCP Context Management](/content/blog/mcp-context-management/index.html)

Learn the five pillars of MCP context management and why AI agents need more than a protocol to deliver trustworthy answers.

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March 27, 2026

## [DataHub: The Semantic Backbone of Enterprise Data Analytics Agents](/content/blog/semantic-backbone-of-enterprise-data-analytics-agents/index.html)

Last week, the Pinterest engineering team published an incredibly thorough deep dive about how they built the most widely adopted AI agent at their company — an analytics agent that…

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March 16, 2026

## [Part 2: How DataHub MCP Closes the Context Gap](/content/blog/agents-in-production-datahub-mcp/index.html)

Learn how DataHub closes the context gap for MCP-connected AI agents—giving them the lineage, ownership, and quality signals they need to move from prototype to production.

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March 16, 2026

## [Part 1: What Is an MCP Server? Model Context Protocol Explained](/content/blog/mcp-server-101/index.html)

Learn what an MCP server is, how the Model Context Protocol works, and why AI agents need more than connectivity to be production-ready.

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March 9, 2026

## [The Data Engineer’s Guide to Context Engineering](/content/blog/context-engineering/index.html)

Context engineering needs your data engineering skills. Learn how metadata, governance, and pipeline expertise translate to building context for AI agents.

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February 13, 2026

## [Powering AI Agents with Context: DataHub January 2026 Town Hall Highlights](/content/blog/datahub-town-hall-powering-ai-agents-with-context/index.html)

DataHub Town Hall: Solving AI agent context challenges with context graph expansion, agent integrations for Snowflake, LangChain, and more.

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February 3, 2026

## [What Is an AI Data Catalog?](/content/blog/ai-assisted-data-catalogs-an-llm-powered-by-knowledge-graphs-for-metadata-discovery/index.html)

Not every “AI data catalog” delivers real AI capabilities. Learn what AI actually does in a modern catalog—and the architecture required to make it work.

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January 27, 2026

## [What is AI Data Management?](/content/blog/ai-data-management/index.html)

AI data management automates metadata toil while managing data for AI systems. Learn what separates legacy catalogs from AI-native platforms.

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