Semantic Layers Were Built for BI, Not AI Agents — Context Graphs Fill the Gap
Semantic layers (a shared business logic framework that standardizes how data is defined and interpreted across an organization) solved a […]
Real-Time Analytics: Architecture Patterns, Genuine Use Cases, and When “Fresh Enough” Is Actually Enough
Imagine your credit card gets flagged and temporarily held the moment a purchase looks unusual and risky, before a second
AI Agent Governance: How to Keep Autonomous Data Agents Accurate and Compliant
Imagine your data warehouse has three tables with revenue data. Two of them apply different fiscal year logic. One quietly
Cursor + Direct MCP vs. Jedify’s Contextual MCP Server: Which Architecture Actually Scales for Data Agents?
Model Context Protocol (MCP) is changing how AI agents connect to data. Instead of one-off integrations, MCP gives tools like
MCP Server Tutorial: Connecting AI Agents to Enterprise Data — Raw Database vs. Context-Enriched MCP
You wire Claude Desktop to a Snowflake MCP endpoint, fire a few test queries, and everything looks fine. Then a
Agentic Analytics Explained: Architecture, Context, and Why the Semantic Layer Does the Heavy Lifting
An agentic analytics system is one where one or more LLM-powered agents autonomously decompose a data question into sub-tasks, retrieve
Governance Belongs in the Context Layer: What Agentic AI Breaks and What It Doesn’t
When your governance team wires up an AI agent, the playbook looks familiar: map the service account to an IAM
